Allegra Conti

Ricercatore

Macro-area: Fisica Applicata, didattica e storia della Fisica
SSD: FIS/07

allegra.conti@uniroma2.it

Biografia

Allegra Conti, Ricercatore di Fisica Medica presso l’Università di Tor Vergata, ha conseguito la laurea magistrale in Fisica presso l’Università di Roma “La Sapienza” e il dottorato di ricerca presso l’Università G. D’Annunzio, dove si è classificata come miglior studente dell’anno. 

Durante la borsa di studio post-dottorato Eurotalents presso il CEA-Paris Saclay, ha lavorato su “Ultrasound aided delivery of theranostic agents to glioblastoma”. 

Allegra ha ricevuto numerosi premi, tra cui il MSCA Seal of Excellence, il premio Under 35 e il premio per la migliore presentazione orale. Fa parte del comitato editoriale di Frontiers in Physics, Frontiers in Physiology e Computational and Mathematical Methods in Medicine.

Progetti personali finanziati

  • Ricerca Finalizzata (Starting Grant). Anno 2020. Ruolo nel progetto: PI.
  • GIDRM Mobility Grant. Anno: 2019. Ruolo nel progetto: PI
  • Fellowship Marie Sklodowska-Curie Action Enhanced Eurotalent-ICF. Anno: 2016. Ruolo nel progetto: PI

Profili

Created with Fabric.js 4.6.0

Scopus

LinkedIn

Orcid

Google Scholar

Pubmed

Insegnamenti

Gomp

Ultime 5 pubblicazioni (Scopus)

opensearch:totalResults = 40
opensearch:startIndex = 0
opensearch:itemsPerPage = 25
@role = request
@searchTerms = AU-ID(56785222700)
@startPage = 0

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/search/scopus?start=0&count=25&query=AU-ID%2856785222700%29&apiKey=6ae70c855c11cca26b94ca23c22dcbcf
@type = application/json

@_fa = true
@ref = first
@href = https://api.elsevier.com/content/search/scopus?start=0&count=25&query=AU-ID%2856785222700%29&apiKey=6ae70c855c11cca26b94ca23c22dcbcf
@type = application/json

@_fa = true
@ref = next
@href = https://api.elsevier.com/content/search/scopus?start=25&count=25&query=AU-ID%2856785222700%29&apiKey=6ae70c855c11cca26b94ca23c22dcbcf
@type = application/json

@_fa = true
@ref = last
@href = https://api.elsevier.com/content/search/scopus?start=15&count=25&query=AU-ID%2856785222700%29&apiKey=6ae70c855c11cca26b94ca23c22dcbcf
@type = application/json


inizio

@_fa = true

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85196603069

@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85196603069?field=author,affiliation

@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85196603069&origin=inward

@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85196603069&origin=inward

The Mediterranean Diet in Pregnancy: Implications for Maternal Brain Morphometry in a Secondary Analysis of the IMPACT BCN Randomized Clinical Trial; Nutrients; 24 May 2024; DOI: 10.3390/nu16111604
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85196603069
dc:identifier = SCOPUS_ID:85196603069
eid = 2-s2.0-85196603069
dc:creator = Nakaki A.
prism:publicationName = Nutrients
prism:issn =
prism:eIssn = 20726643
prism:volume = 16
prism:issueIdentifier = 11
prism:pageRange =
prism:coverDate = 2024-05-24
prism:coverDisplayDate = 24 May 2024
prism:doi = 10.3390/nu16111604
citedby-count = 0

@_fa = true
affilname = Institut d'Investigacions Biomèdiques August Pi i Sunyer – IDIBAPS
affiliation-city = Barcelona
affiliation-country = Spain

@_fa = true
affilname = Universitat de Barcelona
affiliation-city = Barcelona
affiliation-country = Spain

pubmed-id = 38892540
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number =
source-id = 19700188323
openaccess = 1
openaccessFlag = true
value:

$ = all

$ = publisherfullgold

$ = repository

$ = repositoryvor

value:

$ = All Open Access

$ = Gold

$ = Green

prism:isbn:

@_fa =
$ =

pii =

inizio

@_fa = true

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85169156504

@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85169156504?field=author,affiliation

@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85169156504&origin=inward

@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85169156504&origin=inward

Multishell diffusion MRI reveals whole-brain white matter changes in HIV; Human Brain Mapping; 15 October 2023; DOI: 10.1002/hbm.26448
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85169156504
dc:identifier = SCOPUS_ID:85169156504
eid = 2-s2.0-85169156504
dc:creator = Minosse S.
prism:publicationName = Human Brain Mapping
prism:issn = 10659471
prism:eIssn = 10970193
prism:volume = 44
prism:issueIdentifier = 15
prism:pageRange = 5113-5124
prism:coverDate = 2023-10-15
prism:coverDisplayDate = 15 October 2023
prism:doi = 10.1002/hbm.26448
citedby-count = 2

@_fa = true
affilname = Policlinico Tor Vergata
affiliation-city = Rome
affiliation-country = Italy

pubmed-id = 37647214
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number =
source-id = 16101
openaccess = 1
openaccessFlag = true
value:

$ = all

$ = publisherfullgold

value:

$ = All Open Access

$ = Gold

prism:isbn:

@_fa =
$ =

pii =

inizio

@_fa = true

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85175274286

@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85175274286?field=author,affiliation

@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85175274286&origin=inward

@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85175274286&origin=inward

Preliminary Evidence of the Differential Expression of Human Endogenous Retroviruses in Kawasaki Disease and SARS-CoV-2-Associated Multisystem Inflammatory Syndrome in Children; International Journal of Molecular Sciences; October 2023; DOI: 10.3390/ijms242015086
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85175274286
dc:identifier = SCOPUS_ID:85175274286
eid = 2-s2.0-85175274286
dc:creator = Balestrieri E.
prism:publicationName = International Journal of Molecular Sciences
prism:issn = 16616596
prism:eIssn = 14220067
prism:volume = 24
prism:issueIdentifier = 20
prism:pageRange =
prism:coverDate = 2023-10-01
prism:coverDisplayDate = October 2023
prism:doi = 10.3390/ijms242015086
citedby-count = 2

@_fa = true
affilname = Università degli Studi di Roma "Tor Vergata"
affiliation-city = Rome
affiliation-country = Italy

pubmed-id = 37894766
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number = 15086
source-id = 25879
openaccess = 1
openaccessFlag = true
value:

$ = all

$ = publisherfullgold

$ = repository

$ = repositoryvor

value:

$ = All Open Access

$ = Gold

$ = Green

prism:isbn:

@_fa =
$ =

pii =

inizio

@_fa = true

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85163667984

@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85163667984?field=author,affiliation

@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85163667984&origin=inward

@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85163667984&origin=inward

Dynomics: A Novel and Promising Approach for Improved Breast Cancer Prognosis Prediction; Journal of Personalized Medicine; June 2023; DOI: 10.3390/jpm13061004
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85163667984
dc:identifier = SCOPUS_ID:85163667984
eid = 2-s2.0-85163667984
dc:creator = Inglese M.
prism:publicationName = Journal of Personalized Medicine
prism:issn =
prism:eIssn = 20754426
prism:volume = 13
prism:issueIdentifier = 6
prism:pageRange =
prism:coverDate = 2023-06-01
prism:coverDisplayDate = June 2023
prism:doi = 10.3390/jpm13061004
citedby-count = 1

@_fa = true
affilname = Università degli Studi di Roma "Tor Vergata"
affiliation-city = Rome
affiliation-country = Italy

@_fa = true
affilname = Imperial College London
affiliation-city = London
affiliation-country = United Kingdom

pubmed-id =
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number = 1004
source-id = 21100777379
openaccess = 1
openaccessFlag = true
value:

$ = all

$ = publisherfullgold

value:

$ = All Open Access

$ = Gold

prism:isbn:

@_fa =
$ =

pii =

inizio

@_fa = true

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85159082315

@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85159082315?field=author,affiliation

@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85159082315&origin=inward

@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85159082315&origin=inward

@_fa = true
@ref = full-text
@href = https://api.elsevier.com/content/article/eid/1-s2.0-S1932620323024628

Analyzing the sensitivity of quantitative 3D MRI of longitudinal relaxation at very low field in Gd-doped phantoms; PLoS ONE; May 2023; DOI: 10.1371/journal.pone.0285391
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85159082315
dc:identifier = SCOPUS_ID:85159082315
eid = 2-s2.0-85159082315
dc:creator = de Iure D.
prism:publicationName = PLoS ONE
prism:issn =
prism:eIssn = 19326203
prism:volume = 18
prism:issueIdentifier = 5 May
prism:pageRange =
prism:coverDate = 2023-05-01
prism:coverDisplayDate = May 2023
prism:doi = 10.1371/journal.pone.0285391
citedby-count = 0

@_fa = true
affilname = University of G. d'Annunzio Chieti and Pescara
affiliation-city = Chieti
affiliation-country = Italy

pubmed-id = 37146058
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number = e0285391
source-id = 10600153309
openaccess = 1
openaccessFlag = true
value:

$ = all

$ = publisherfullgold

value:

$ = All Open Access

$ = Gold

prism:isbn:

@_fa =
$ =

pii =

Ultime 5 pubblicazioni (PubMed)

Sito creato da An:Ca © 2023 Università di Roma Tor Vergata P.I. 02133971008 – C.F. 80213750583