Kinya Nishimura

1.7k citations
74 papers · 1.4k · h-index 21

Impact in

Papers in

Kinya Nishimura

74 papers receiving 1.4k citations

Peers

Kinya Nishimura
Comparison fields: 5 of 109
  • Ecology, Evolution, Behavior and Systematics 563
  • Nature and Landscape Conservation 243
  • Global and Planetary Change 348
  • Ecological Modeling 52
  • Genetics 304
Replace Shuang Zhang with:
Shuang Zhang China
Matthias H. Hoffmann Germany
Feng Xie China
Jia‐Yong Zhang China
Jeremy L. Marshall United States
Yoichi Ito Japan
Takeshi Kawakami Japan
Marco Corti Italy
Jake M. Martin Australia
Joanna Baker United Kingdom
Kinya Nishimura relative to Shuang Zhang China Shuang Zhang's profile →
Citations per field
00.5×2.5×
Shuang Zhang · 1×
Citations per year

Countries citing papers authored by Kinya Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Kinya Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kinya Nishimura, 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 Kinya Nishimura Line = papers co-authored together Kinya Nishimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200986
2
Multiple inducible defences against multiple predators in the anuran tadpole, Rana pirica
200584
3 201674
4 199774
5 200472
6 199167
7 199953
8 200647
9 200846
10 200944
11 200743
12 201142
13 200639
14 200931
15 200326
16 200825
17 199524
18 200523
19 201823
20 200723

About Kinya Nishimura

Kinya Nishimura is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Global and Planetary Change, Sociology and Political Science and Public Health, Environmental and Occupational Health, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (18 papers), Amphibian and Reptile Biology (15 papers), Plant and animal studies (14 papers), Evolution and Genetic Dynamics (13 papers), Evolutionary Game Theory and Cooperation (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Animal Ecology and Behavior Studies (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (563 citations), Nature and Landscape Conservation (243 citations), Global and Planetary Change (348 citations), Ecological Modeling (52 citations) and Genetics (304 citations). Kinya Nishimura has collaborated with scholars based in Japan, United States and Zambia. Frequent co-authors include Osamu Kishida, Akihiko Mougi, Geoffrey C. Trussell, Michio Enyo, K. Machida, Yutaka Isoda, Hirofumi Michimae, Tsukasa Mori, Y. Kozono and Yasushi Muranaka. Their work appears in journals such as Journal of Theoretical Biology, PLoS ONE, Ecology, Oecologia 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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