Kazuyoshi Okamoto

1.0k citations
28 papers · 842 indexed · h-index 14
Topics
Cell death mechanisms and regulation (5 papers)T-cell and Retrovirus Studies (4 papers)Animal Disease Management and Epidemiology (4 papers)
Partner nations
Japan

In The Last Decade

Kazuyoshi Okamoto

27 papers receiving 826 citations

Peers

Kazuyoshi Okamoto
Comparison fields: 5 of 87
  • Molecular Biology 549
  • Immunology 180
  • Cellular and Molecular Neuroscience 173
  • Rheumatology 131
  • Cardiology and Cardiovascular Medicine 100
Replace Minako Nakazawa with:
Minako Nakazawa Japan
Sophie Conchon France
Guangpu Shi United States
Grace Chan United States
Byungki Jang South Korea
Nabil El Zein Lebanon
Tone Berge Norway
Roberto Fagnani United States
Zee‐Fen Chang Taiwan
Brian J. Aneskievich United States
Kazuyoshi Okamoto relative to Minako Nakazawa Japan Minako Nakazawa's profile →
Citations per field
00.5×7.1×
Minako Nakazawa · 1×
Citations per year

Countries citing papers authored by Kazuyoshi Okamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kazuyoshi Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuyoshi Okamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyoshi Okamoto. A scholar is included among the top collaborators of Kazuyoshi Okamoto 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 Kazuyoshi Okamoto. Kazuyoshi Okamoto 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
#WorkIndexed citations
1 2
2 25
3 10
4 4
5 17
6 8
7 16
8 9
9 52
10 43
11 24
12 58
13 77
14 33
15 63
16 65
17 163
18 100
19
3
20 3

About Kazuyoshi Okamoto

Kazuyoshi Okamoto is a scholar working on Agronomy and Crop Science, Immunology and Immunology and Allergy, having authored 28 papers that have together received 842 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), T-cell and Retrovirus Studies (4 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (173 citations), Rheumatology (131 citations) and Immunology (180 citations). Kazuyoshi Okamoto has collaborated with scholars based in Japan. Frequent co-authors include Tetsuya Kobayashi, Tomoko Hasunuma, Shiro Mita, Kiyoshi Matsuno, Takayuki Sumida, Minako Nakazawa, Tetsuji Kobata, T Kobata, K Nishioka and Toshihiko Senda. Their work appears in journals such as Journal of Clinical Investigation, International Journal of Radiation Oncology*Biology*Physics and European Journal of Pharmacology.

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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