Takayuki Nishimura

92 total papers · 972 total citations
58 papers, 642 citations indexed

About

Takayuki Nishimura is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Takayuki Nishimura has authored 58 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 10 papers in Public Health, Environmental and Occupational Health and 10 papers in Genetics. Recurrent topics in Takayuki Nishimura's work include High Altitude and Hypoxia (10 papers), Thermoregulation and physiological responses (9 papers) and Bone health and osteoporosis research (8 papers). Takayuki Nishimura is often cited by papers focused on High Altitude and Hypoxia (10 papers), Thermoregulation and physiological responses (9 papers) and Bone health and osteoporosis research (8 papers). Takayuki Nishimura collaborates with scholars based in Japan, Slovenia and United States. Takayuki Nishimura's co-authors include Shigeki Watanuki, Kiyoshi Aoyagi, Kazuhiko Arima, Yasuyo Abe, Satoshi Mizukami, Yoshihito Tomita, Mitsuo Kanagae, Damee Choi, Hisashi Goto and Taro Yamamoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Takayuki Nishimura

53 papers receiving 622 citations

Author Peers

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

Author Last Decade Papers Cites
Takayuki Nishimura 172 84 74 73 69 58 642
Khadijeh Irandoust 202 1.2× 96 1.1× 113 1.5× 49 0.7× 11 0.2× 74 727
CH How 82 0.5× 53 0.6× 99 1.3× 128 1.8× 20 0.3× 40 706
Raphael Knaier 238 1.4× 35 0.4× 64 0.9× 38 0.5× 26 0.4× 46 673
Eugenio Merellano-Navarro 140 0.8× 50 0.6× 111 1.5× 88 1.2× 48 0.7× 83 680
Jani P. Vaara 223 1.3× 79 0.9× 122 1.6× 14 0.2× 25 0.4× 55 754
Junrui Di 288 1.7× 49 0.6× 149 2.0× 58 0.8× 21 0.3× 32 696
Uday Sankar Ray 180 1.0× 23 0.3× 42 0.6× 33 0.5× 144 2.1× 30 745
Tina Smith 104 0.6× 37 0.4× 108 1.5× 93 1.3× 18 0.3× 41 770
Cristina Casals 211 1.2× 37 0.4× 80 1.1× 44 0.6× 31 0.4× 67 667
Rubén Fernández‐Rodríguez 194 1.1× 23 0.3× 165 2.2× 90 1.2× 15 0.2× 48 675

Countries citing papers authored by Takayuki Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Nishimura

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