Kei‐ichi Tainaka

2.0k total citations
110 papers, 1.5k citations indexed

About

Kei‐ichi Tainaka is a scholar working on Sociology and Political Science, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kei‐ichi Tainaka has authored 110 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Sociology and Political Science, 43 papers in Genetics and 38 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kei‐ichi Tainaka's work include Evolutionary Game Theory and Cooperation (48 papers), Evolution and Genetic Dynamics (42 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (38 papers). Kei‐ichi Tainaka is often cited by papers focused on Evolutionary Game Theory and Cooperation (48 papers), Evolution and Genetic Dynamics (42 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (38 papers). Kei‐ichi Tainaka collaborates with scholars based in Japan, United States and Philippines. Kei‐ichi Tainaka's co-authors include Jin Yoshimura, Takashi Nagatani, Genki Ichinose, Yoshiaki Itoh, Satoru Morita, Tatsuya Togashi, Hiromu Ito, Kazunori Satō, Tarō Hayashi and Chris Simon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Kei‐ichi Tainaka

106 papers receiving 1.5k citations

Peers

Kei‐ichi Tainaka
Comparison fields: 5 of 122
  • Sociology and Political Science 725
  • Genetics 634
  • Public Health, Environmental and Occupational Health 535
  • Ecology, Evolution, Behavior and Systematics 271
  • Statistical and Nonlinear Physics 262
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Citations per field, relative to Kei‐ichi Tainaka
Kei‐ichi Tainaka · 1×
Citations per year, relative to Kei‐ichi Tainaka
Kei‐ichi Tainaka · 1×

Countries citing papers authored by Kei‐ichi Tainaka

Since Specialization
Citations

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

Fields of papers citing papers by Kei‐ichi Tainaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kei‐ichi Tainaka. 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 Kei‐ichi Tainaka. The network helps show where Kei‐ichi Tainaka may publish in the future.

Co-authorship network of co-authors of Kei‐ichi Tainaka

This figure shows the co-authorship network connecting the top 25 collaborators of Kei‐ichi Tainaka. A scholar is included among the top collaborators of Kei‐ichi Tainaka 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 Kei‐ichi Tainaka. Kei‐ichi Tainaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 0
4 51
5 3
6 32
7 13
8 22
9 4
10 1
11 0
12 8
13
Slightly male-biased sex ratios for the avoidance of extinction
3
14 24
15 9
16 18
17 17
18 2
19
LK_006 Pattern analysis of fashion with the personal communication
1
20
The role of rare species in the community stability of a model ecosystem
4

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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