Paula Sol Ventura

568 citations
28 papers · 339 indexed · h-index 11

Paula Sol Ventura

25 papers receiving 332 citations

Peers

Paula Sol Ventura
Comparison fields: 5 of 76
  • Infectious Diseases 126
  • Obstetrics and Gynecology 47
  • Neurology 66
  • Oncology 79
  • Critical Care and Intensive Care Medicine 14
Replace Anthony Paulo Sunjaya with:
Anthony Paulo Sunjaya Australia
Nathan M. Pajor United States
Patrícia Médici Dualib Brazil
Michael Ng United Kingdom
Caizheng Yu China
G. Wang China
Euclides José Oliveira da Cunha Brazil
Ruhul Munshi United States
Marco Deganello Saccomani Italy
Thomas F. Osborne United States
Paula Sol Ventura relative to Anthony Paulo Sunjaya Australia Anthony Paulo Sunjaya's profile →
Citations per field
00.5×1.5×
Anthony Paulo Sunjaya · 1×
Citations per year

Countries citing papers authored by Paula Sol Ventura

Since Specialization
Citations

This map shows the geographic impact of Paula Sol Ventura's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paula Sol Ventura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Sol Ventura more than expected).

Fields of papers citing papers by Paula Sol Ventura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula Sol Ventura. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paula Sol Ventura. The network helps show where Paula Sol Ventura may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Paula Sol Ventura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paula Sol Ventura Line = papers co-authored together Paula Sol Ventura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3 20234
4 20232
5 202221
6 20220
7 202213
8 20227
9 202113
10 20215
11 202144
12 202124
13 202111
14 202121
15 20205
16 20201
17 201813
18
Monoallelic mutations in DUOXA2 are associated with mild permanent hypothyroidism and goiter
20081
19
Congenital hypothyroidism and dyshormonogenesis: Role of 123I perchlorate discharge test
20071
20 200610

About Paula Sol Ventura

Paula Sol Ventura is a scholar working on Obstetrics and Gynecology, Microbiology and Infectious Diseases, having authored 28 papers that have together received 339 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Cardiovascular Disease and Adiposity (3 papers), COVID-19 and Mental Health (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), COVID-19 Impact on Reproduction (3 papers), Shoulder and Clavicle Injuries (2 papers), Respiratory viral infections research (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Infectious Diseases (126 citations), Obstetrics and Gynecology (47 citations) and Neurology (66 citations). Paula Sol Ventura has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include José M. Castellano, Rodrigo Madurga, Marisa Torres, Ana Ortigoza, Jesús Rodríguez-Pascual, M. Simon, J.I. Montero, Héctor J. Hernández, Virginia García-Virto and Ferran Rosés‐Noguer.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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