Daisuke Kojima

2.7k citations
63 papers · 2.0k · h-index 23

Impact in

Papers in

Daisuke Kojima

57 papers receiving 2.0k citations

Peers

Daisuke Kojima
Comparison fields: 5 of 119
  • Endocrine and Autonomic Systems 512
  • Cellular and Molecular Neuroscience 1.2k
  • Virology 100
  • Molecular Biology 1.2k
  • Cell Biology 277
Replace Darren W. Logan with:
Darren W. Logan United Kingdom
Berta Scharrer United States
Jean‐François Poulin Canada
Andrew Murray United Kingdom
Marion D. Kendall United Kingdom
Liliane Astic France
Michael J. Williams Sweden
Xiaojing Gao China
Sviatoslav N. Bagriantsev United States
Cynthia A. Smeraski United States
Daisuke Kojima relative to Darren W. Logan United Kingdom Darren W. Logan's profile →
Citations per field
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Darren W. Logan · 1×
Citations per year

Countries citing papers authored by Daisuke Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992281
2 2011146
3 2000125
4 1997124
5 1997114
6 1999110
7 199298
8 201391
9 200775
10 199063
11 200257
12 199753
13 201046
14 201245
15 200743
16 201538
17 200238
18 201734
19 201931
20 199929

About Daisuke Kojima

Daisuke Kojima is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Endocrine and Autonomic Systems and Electrical and Electronic Engineering, having authored 63 papers that have together received 2.0k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (20 papers), Retinal Development and Disorders (16 papers), Circadian rhythm and melatonin (10 papers), Zebrafish Biomedical Research Applications (10 papers), Neurobiology and Insect Physiology Research (8 papers), Rabies epidemiology and control (5 papers), Thermoregulation and physiological responses (4 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (512 citations), Cellular and Molecular Neuroscience (1.2k citations), Virology (100 citations), Molecular Biology (1.2k citations) and Cell Biology (277 citations). Daisuke Kojima has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yoshitaka Fukada, Hiroaki Mano, Yoshinori Shichida, Toshiyuki Okano, Y. Shichida, Akihisa Terakita, Toru Yoshizawa, Akimori Wada, Akio Maeda and Yoshitaka Fukada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry, International Journal of Hyperthermia, Journal of Biological Chemistry and Journal of Neuroscience.

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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