Y Nishimura

57 total papers · 2.8k total citations
28 papers, 2.4k citations indexed

About

Y Nishimura is a scholar working on Epidemiology, Surgery and Hepatology. According to data from OpenAlex, Y Nishimura has authored 28 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Surgery and 8 papers in Hepatology. Recurrent topics in Y Nishimura's work include Liver Disease and Transplantation (6 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Mitochondrial Function and Pathology (5 papers). Y Nishimura is often cited by papers focused on Liver Disease and Transplantation (6 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Mitochondrial Function and Pathology (5 papers). Y Nishimura collaborates with scholars based in Japan and United States. Y Nishimura's co-authors include Cynthia A. Bradham, David A. Brenner, Lawrence C. Trost, Wayne E. Cascio, John J. Lemasters, Steven P. Elmore, Brian Herman, Anna‐Liisa Nieminen, Ting Qian and John J. Lemasters and has published in prestigious journals such as Journal of Clinical Investigation, Gastroenterology and Hepatology.

In The Last Decade

Y Nishimura

28 papers receiving 2.3k citations

Hit Papers

The mitochondrial permeab... 1998 2026 2007 2016 1998 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Y Nishimura 1.2k 462 403 343 334 28 2.4k
Ting Qian 1.3k 1.1× 793 1.7× 353 0.9× 344 1.0× 510 1.5× 46 2.7k
Zongxian Cao 958 0.8× 344 0.7× 295 0.7× 267 0.8× 177 0.5× 30 2.3k
Ting Qian 1.2k 1.0× 760 1.6× 169 0.4× 230 0.7× 269 0.8× 27 2.3k
Lihua He 1.4k 1.2× 393 0.9× 203 0.5× 233 0.7× 118 0.4× 24 2.5k
Rita Carini 618 0.5× 371 0.8× 518 1.3× 332 1.0× 363 1.1× 58 2.0k
Marta Varela‐Rey 1.7k 1.4× 899 1.9× 305 0.8× 179 0.5× 357 1.1× 45 2.9k
Esther Ardite 1.2k 1.0× 332 0.7× 311 0.8× 263 0.8× 137 0.4× 23 2.5k
P. Ortiz 682 0.6× 555 1.2× 217 0.5× 248 0.7× 219 0.7× 47 2.2k
Robert F. Stachlewitz 600 0.5× 261 0.6× 344 0.9× 188 0.5× 297 0.9× 30 1.9k
Byoung‐Joon Song 1.4k 1.2× 897 1.9× 161 0.4× 723 2.1× 241 0.7× 47 3.0k

Countries citing papers authored by Y Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Y Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Nishimura

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