Sonia Molina

20 total papers · 565 total citations
12 papers, 444 citations indexed

About

Sonia Molina is a scholar working on Hepatology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Sonia Molina has authored 12 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hepatology, 5 papers in Epidemiology and 3 papers in Artificial Intelligence. Recurrent topics in Sonia Molina's work include Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers) and Liver Disease Diagnosis and Treatment (3 papers). Sonia Molina is often cited by papers focused on Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers) and Liver Disease Diagnosis and Treatment (3 papers). Sonia Molina collaborates with scholars based in France, United Kingdom and Israel. Sonia Molina's co-authors include Patrick Maurel, Lydiane Pichard‐Garcia, António Sá Cunha, Jean‐Michel Fabre, Dominique Larrey, Joliette Coste, Chantal Fournier‐Wirth, Paola Ghersa, Jane A. McKeating and Joseph Roitelman and has published in prestigious journals such as Journal of Virology, Journal of Hepatology and Virology.

In The Last Decade

Sonia Molina

10 papers receiving 437 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sonia Molina 358 307 95 56 54 12 444
S. Iacovacci 323 0.9× 297 1.0× 38 0.4× 66 1.2× 62 1.1× 14 406
Jujin Satoi 287 0.8× 214 0.7× 24 0.3× 84 1.5× 68 1.3× 7 383
I Braunschweiger 292 0.8× 227 0.7× 77 0.8× 34 0.6× 40 0.7× 14 434
Kurt W. Roth 371 1.0× 327 1.1× 83 0.9× 21 0.4× 24 0.4× 8 404
Masato Yokoi 349 1.0× 290 0.9× 81 0.9× 57 1.0× 31 0.6× 7 378
S. H. Yap 353 1.0× 357 1.2× 25 0.3× 23 0.4× 76 1.4× 19 475
Chiharu Ohue 322 0.9× 279 0.9× 45 0.5× 65 1.2× 84 1.6× 9 420
David Delgrange 363 1.0× 267 0.9× 31 0.3× 100 1.8× 105 1.9× 7 453
Galia Askarieh 311 0.9× 262 0.9× 85 0.9× 13 0.2× 43 0.8× 11 438
Marie Petit 290 0.8× 331 1.1× 36 0.4× 21 0.4× 54 1.0× 21 479

Countries citing papers authored by Sonia Molina

Since Specialization
Citations

This map shows the geographic impact of Sonia Molina'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 Sonia Molina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Molina more than expected).

Fields of papers citing papers by Sonia Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonia Molina. 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 Sonia Molina. The network helps show where Sonia Molina may publish in the future.

Co-authorship network of co-authors of Sonia Molina

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Molina. A scholar is included among the top collaborators of Sonia Molina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sonia Molina. Sonia Molina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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