Eiko Nishiuchi

13 total papers · 1.4k total citations
11 papers, 1.0k citations indexed

About

Eiko Nishiuchi is a scholar working on Molecular Biology, Hepatology and Cancer Research. According to data from OpenAlex, Eiko Nishiuchi has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Hepatology and 4 papers in Cancer Research. Recurrent topics in Eiko Nishiuchi's work include Hepatitis C virus research (5 papers), MicroRNA in disease regulation (4 papers) and RNA Research and Splicing (3 papers). Eiko Nishiuchi is often cited by papers focused on Hepatitis C virus research (5 papers), MicroRNA in disease regulation (4 papers) and RNA Research and Splicing (3 papers). Eiko Nishiuchi collaborates with scholars based in United States, Denmark and United Kingdom. Eiko Nishiuchi's co-authors include Charles M. Rice, Troels K. H. Scheel, Joseph M. Luna, Robert B. Darnell, John J. Fak, Michael J. Moore, Christopher Y. Park, Constantin N. Takacs, Tal Danino and Ype P. de Jong and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Eiko Nishiuchi

11 papers receiving 1.0k citations

Hit Papers

Hepatitis C Virus RNA Fun... 2015 2026 2018 2022 2015 2015 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Eiko Nishiuchi 662 425 194 170 146 11 1.0k
Xi-Yu Jia 589 0.9× 244 0.6× 138 0.7× 55 0.3× 51 0.3× 16 887
Takeshi Kameyama 466 0.7× 136 0.3× 220 1.1× 331 1.9× 65 0.4× 30 1.1k
Joel W. Graff 416 0.6× 320 0.8× 50 0.3× 173 1.0× 107 0.7× 14 1.2k
Ti‐Chun Chao 721 1.1× 534 1.3× 98 0.5× 270 1.6× 53 0.4× 12 1.1k
Vincent O’Brien 534 0.8× 167 0.4× 31 0.2× 197 1.2× 146 1.0× 18 1.1k
Kara L. Norman 511 0.8× 243 0.6× 54 0.3× 159 0.9× 733 5.0× 19 1.2k
Wei Hou 555 0.8× 169 0.4× 60 0.3× 116 0.7× 88 0.6× 17 902
Jacob D. Cooper 409 0.6× 165 0.4× 558 2.9× 413 2.4× 67 0.5× 6 1.0k
Pieter C. Van Breugel 558 0.8× 67 0.2× 317 1.6× 564 3.3× 97 0.7× 9 1.0k
Alicia Barroso‐delJesus 759 1.1× 240 0.6× 125 0.6× 73 0.4× 61 0.4× 28 921

Countries citing papers authored by Eiko Nishiuchi

Since Specialization
Citations

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

Fields of papers citing papers by Eiko Nishiuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiko Nishiuchi

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