David Pereyra

143 total papers · 1.2k total citations
51 papers, 564 citations indexed

About

David Pereyra is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, David Pereyra has authored 51 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Hepatology, 22 papers in Surgery and 19 papers in Epidemiology. Recurrent topics in David Pereyra's work include Liver Disease Diagnosis and Treatment (18 papers), Liver Disease and Transplantation (15 papers) and Organ Transplantation Techniques and Outcomes (13 papers). David Pereyra is often cited by papers focused on Liver Disease Diagnosis and Treatment (18 papers), Liver Disease and Transplantation (15 papers) and Organ Transplantation Techniques and Outcomes (13 papers). David Pereyra collaborates with scholars based in Austria, United States and Switzerland. David Pereyra's co-authors include Patrick Starlinger, Thomas Gruenberger, Christine Brostjan, Alice Assinger, Stefanie Haegele, Thomas Reiberger, Waltraud C. Schrottmaier, Hubert Hackl, Judith Stift and Arnulf Ferlitsch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

David Pereyra

51 papers receiving 549 citations

Author Peers

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

Author						Papers	Cites
David Pereyra	281	226	179	88	80	51	564
Marco Sciveres	279 1.0×	260 1.2×	214 1.2×	58 0.7×	28 0.3×	51	526
G Ramadori	323 1.1×	247 1.1×	172 1.0×	75 0.9×	101 1.3×	44	665
K.‐H. Meyer zum Büschenfelde	235 0.8×	221 1.0×	61 0.3×	86 1.0×	137 1.7×	44	580
Yasuaki Takeyama	218 0.8×	266 1.2×	200 1.1×	80 0.9×	28 0.3×	67	613
Yoshihiro Aiba	184 0.7×	188 0.8×	118 0.7×	173 2.0×	211 2.6×	36	612
Ken Watanabe	226 0.8×	101 0.4×	158 0.9×	67 0.8×	28 0.3×	44	510
Yingliang Wang	243 0.9×	190 0.8×	113 0.6×	147 1.7×	59 0.7×	55	584
Yona Kitay‐Cohen	200 0.7×	244 1.1×	55 0.3×	112 1.3×	46 0.6×	44	589
M. Koulentaki	389 1.4×	374 1.7×	151 0.8×	38 0.4×	70 0.9×	43	667
Xiaoshun He	174 0.6×	163 0.7×	189 1.1×	59 0.7×	168 2.1×	30	582

Countries citing papers authored by David Pereyra

Since Specialization

Citations

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

Fields of papers citing papers by David Pereyra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Pereyra

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