Shohei Kohno

2.0k total citations
77 papers, 1.5k citations indexed

About

Shohei Kohno is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Shohei Kohno has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Genetics and 14 papers in Epidemiology. Recurrent topics in Shohei Kohno's work include Glioma Diagnosis and Treatment (18 papers), Muscle Physiology and Disorders (10 papers) and Adipose Tissue and Metabolism (10 papers). Shohei Kohno is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), Muscle Physiology and Disorders (10 papers) and Adipose Tissue and Metabolism (10 papers). Shohei Kohno collaborates with scholars based in Japan, United States and South Korea. Shohei Kohno's co-authors include Takanori Ohnishi, Shiro Ohue, Akihiro Inoue, Hironobu Harada, Daisuke Yamashita, Makoto Miyazaki, Audrey L. Keenan, Katsuya Hirasaka, Yoshiaki Kumon and Takeshi Nikawa and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shohei Kohno

76 papers receiving 1.5k citations

Peers

Shohei Kohno
Comparison fields: 5 of 107
  • Molecular Biology 569
  • Genetics 296
  • Epidemiology 276
  • Physiology 266
  • Oncology 187
Replace Nancy Tresser with:
Nancy Tresser United States
Weiquan Zhu China
Claudia Korn Germany
Manuel Deprez Belgium
Holger Jastrow Germany
Hans Maier Austria
Yasunori Shintani Japan
Manae S. Kurokawa Japan
Yakov Fellig Israel
Kazuo Tabuchi Japan
Nancy Tresser United States View profile →
Citations per field, relative to Shohei Kohno
Shohei Kohno · 1×
Citations per year, relative to Shohei Kohno
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Countries citing papers authored by Shohei Kohno

Since Specialization
Citations

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

Fields of papers citing papers by Shohei Kohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shohei Kohno

This figure shows the co-authorship network connecting the top 25 collaborators of Shohei Kohno. A scholar is included among the top collaborators of Shohei Kohno 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 Shohei Kohno. Shohei Kohno 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 2
2 1
3 1
4 19
5 5
6 3
7 51
8 3
9 6
10 10
11 52
12 11
13 16
14 13
15 9
16 8
17 33
18 25
19
Multidrug resistance-associated protein gene expression and drug sensitivity in human lung cancer cells.
12
20 6

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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