Shigeru Chohnan

49 papers receiving 1.8k citations

Peers

Shigeru Chohnan
Comparison fields: 5 of 108
  • Endocrine and Autonomic Systems 453
  • Neurology 304
  • Clinical Biochemistry 203
  • Physiology 586
  • Biological Psychiatry 34
Replace Christian Lefebvre d’Hellencourt with:
Christian Lefebvre d’Hellencourt France
Xinchun Lin United States
Gholamreza Ahmadian Iran
Stefano Falone Italy
Yang He China
Andrzej W. Lipkowski Poland
Il‐Doo Kim South Korea
Ignacio Bejarano Spain
Lei Jiang China
Zhiwei Guan United States
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Citations per field
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Citations per year

Countries citing papers authored by Shigeru Chohnan

Since Specialization
Citations

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

Fields of papers citing papers by Shigeru Chohnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003226
2 2007171
3 2008149
4 2005104
5 2007101
6 200791
7 200487
8 200585
9 199760
10 200658
11 200648
12 200348
13 201545
14 200640
15 199838
16 201235
17 201431
18 202026
19 202025
20 201124

About Shigeru Chohnan

Shigeru Chohnan is a scholar working on Molecular Biology, Neurology, Physiology, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurological diseases and metabolism (20 papers), Metabolism and Genetic Disorders (9 papers), Regulation of Appetite and Obesity (9 papers), Adipose Tissue and Metabolism (8 papers), Porphyrin Metabolism and Disorders (6 papers), Enzyme Production and Characterization (6 papers), RNA regulation and disease (6 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (453 citations), Neurology (304 citations), Clinical Biochemistry (203 citations), Physiology (586 citations) and Biological Psychiatry (34 citations). Shigeru Chohnan has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include M. Daniel Lane, Seung Hun, Zhiyuan Hu, Yuka Tokutake, Yoshichika Takamura, Michael J. Wolfgang, Suzanne Jackowski, Atsushi Toyoda, Charles O. Rock and Takeharu Masaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioscience Biotechnology and Biochemistry, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry and Microbes and Environments.

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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