Jin Yoshimura

3.7k citations
184 papers · 2.9k · h-index 28

Impact in

Papers in

Jin Yoshimura

175 papers receiving 2.7k citations

Peers

Jin Yoshimura
Comparison fields: 5 of 159
  • Ecology, Evolution, Behavior and Systematics 1.2k
  • Nature and Landscape Conservation 581
  • Genetics 1.1k
  • Ecological Modeling 141
  • Insect Science 314
Replace Stephen R. Proulx with:
Stephen R. Proulx United States
Gregor F. Fussmann Canada
Åke Brännström Sweden
Claudia Neuhauser United States
Howard B. Wilson United Kingdom
Melanie J. Hatcher United Kingdom
Karen C. Abbott United States
Louis‐Félix Bersier Switzerland
David S. Boukal Czechia
Peter Turchin United States
Jin Yoshimura relative to Stephen R. Proulx United States Stephen R. Proulx's profile →
Citations per field
00.5×2.8×
Stephen R. Proulx · 1×
Citations per year

Countries citing papers authored by Jin Yoshimura

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yoshimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin Yoshimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Yoshimura Line = papers co-authored together Jin Yoshimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994314
2 199197
3 199189
4 199887
5 201985
6 201081
7 199673
8 199465
9 199765
10 199359
11 201856
12 201955
13 201854
14 201346
15 201645
16 201845
17 201643
18 201642
19 201142
20 201542

About Jin Yoshimura

Jin Yoshimura is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Sociology and Political Science, Nature and Landscape Conservation and Ecology, having authored 184 papers that have together received 2.9k indexed citations. Recurring topics across this work include Plant and animal studies (66 papers), Evolutionary Game Theory and Cooperation (38 papers), Evolution and Genetic Dynamics (35 papers), Insect and Arachnid Ecology and Behavior (25 papers), Animal Behavior and Reproduction (25 papers), Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Ecology and Vegetation Dynamics Studies (20 papers) and Insect and Pesticide Research (10 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.2k citations), Nature and Landscape Conservation (581 citations), Genetics (1.1k citations), Ecological Modeling (141 citations) and Insect Science (314 citations). Jin Yoshimura has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include David Sloan Wilson, Vincent A. A. Jansen, Satoru Morita, Kei‐ichi Tainaka, Colin Clark, Hiromu Ito, William M. Shields, Tatsuya Togashi, Chris Simon and Eisuke Hasegawa. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of the Physical Society of Japan, Royal Society Open Science and Evolutionary Ecology.

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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