Fernando E. Membreno

23 total papers · 967 total citations
14 papers, 717 citations indexed

About

Fernando E. Membreno is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Fernando E. Membreno has authored 14 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 11 papers in Hepatology and 2 papers in Surgery. Recurrent topics in Fernando E. Membreno's work include Liver Disease Diagnosis and Treatment (8 papers), Hepatitis C virus research (8 papers) and Hepatitis B Virus Studies (7 papers). Fernando E. Membreno is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Hepatitis C virus research (8 papers) and Hepatitis B Virus Studies (7 papers). Fernando E. Membreno collaborates with scholars based in United States, United Kingdom and Australia. Fernando E. Membreno's co-authors include Eric Lawitz, William T. Symonds, John G. McHutchison, Fred Poordad, Robert H. Hyland, Hongmei Mo, Phillip S. Pang, Xiao Ding, Di An and Hadas Dvory‐Sobol and has published in prestigious journals such as The Lancet, Hepatology and Transplantation.

In The Last Decade

Fernando E. Membreno

14 papers receiving 694 citations

Hit Papers

Sofosbuvir and ledipasvir... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Fernando E. Membreno 625 597 126 54 52 14 717
J. Kirschner 629 1.0× 688 1.2× 112 0.9× 70 1.3× 44 0.8× 24 803
Jaime Enríquez 690 1.1× 597 1.0× 95 0.8× 58 1.1× 87 1.7× 16 849
Jennifer E. Layden‐Almer 709 1.1× 654 1.1× 87 0.7× 64 1.2× 67 1.3× 16 903
Gian Maria Prati 745 1.2× 698 1.2× 52 0.4× 91 1.7× 60 1.2× 11 894
Gabriella Di Lorenzo 350 0.6× 396 0.7× 144 1.1× 64 1.2× 83 1.6× 14 750
Marion Corouge 395 0.6× 466 0.8× 107 0.8× 24 0.4× 46 0.9× 26 654
W. Effenberger 464 0.7× 414 0.7× 226 1.8× 41 0.8× 44 0.8× 13 843
Riina Salupere 593 0.9× 561 0.9× 112 0.9× 51 0.9× 44 0.8× 12 705
P. Wantzin 537 0.9× 513 0.9× 98 0.8× 28 0.5× 14 0.3× 26 671
Silvia Bresci 455 0.7× 577 1.0× 109 0.9× 23 0.4× 103 2.0× 15 709

Countries citing papers authored by Fernando E. Membreno

Since Specialization
Citations

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

Fields of papers citing papers by Fernando E. Membreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando E. Membreno. 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 Fernando E. Membreno. The network helps show where Fernando E. Membreno may publish in the future.

Co-authorship network of co-authors of Fernando E. Membreno

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando E. Membreno. A scholar is included among the top collaborators of Fernando E. Membreno 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 Fernando E. Membreno. Fernando E. Membreno 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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