Eugénia Lamas

33 total papers · 1.2k total citations
29 papers, 986 citations indexed

About

Eugénia Lamas is a scholar working on Molecular Biology, Hepatology and Epidemiology. According to data from OpenAlex, Eugénia Lamas has authored 29 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Hepatology and 7 papers in Epidemiology. Recurrent topics in Eugénia Lamas's work include Hepatitis C virus research (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Pancreatic function and diabetes (4 papers). Eugénia Lamas is often cited by papers focused on Hepatitis C virus research (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Pancreatic function and diabetes (4 papers). Eugénia Lamas collaborates with scholars based in France, Chile and Italy. Eugénia Lamas's co-authors include Christian Bréchot, Frédérique Zindy, Xavier Chenivesse, C. Bréchot, Berthold Henglein, Chantal Housset, Jian Wang, Didier Fesquet, Joëlle Sobczak‐Thépot and Stanislas Pol and has published in prestigious journals such as Blood, Hepatology and Oncogene.

In The Last Decade

Eugénia Lamas

29 papers receiving 963 citations

Author Peers

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

Author Last Decade Papers Cites
Eugénia Lamas 436 315 309 303 133 29 986
Francesca De Nicola 658 1.5× 234 0.7× 227 0.7× 400 1.3× 108 0.8× 39 1.1k
Martin R. Higgs 641 1.5× 307 1.0× 193 0.6× 265 0.9× 77 0.6× 32 964
Bruno Dumont 375 0.9× 134 0.4× 131 0.4× 230 0.8× 115 0.9× 20 831
Maggie Cam 386 0.9× 282 0.9× 226 0.7× 350 1.2× 106 0.8× 37 1.1k
Farhad Sedarati 633 1.5× 319 1.0× 87 0.3× 406 1.3× 185 1.4× 36 1.2k
Tatjana Milovanović 629 1.4× 134 0.4× 200 0.6× 182 0.6× 103 0.8× 15 1.0k
Susan S. Kaplan 483 1.1× 199 0.6× 92 0.3× 164 0.5× 45 0.3× 26 983
Fabienne Vernejoul 372 0.9× 178 0.6× 113 0.4× 322 1.1× 79 0.6× 21 935
Kazumasa Hikiji 328 0.8× 123 0.4× 449 1.5× 483 1.6× 65 0.5× 53 1.1k
Meir Shamay 350 0.8× 433 1.4× 71 0.2× 463 1.5× 79 0.6× 31 910

Countries citing papers authored by Eugénia Lamas

Since Specialization
Citations

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

Fields of papers citing papers by Eugénia Lamas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugénia Lamas

This figure shows the co-authorship network connecting the top 25 collaborators of Eugénia Lamas. A scholar is included among the top collaborators of Eugénia Lamas 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 Eugénia Lamas. Eugénia Lamas 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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