Kiyoshi Ohtani

5.9k citations
78 papers · 5.0k indexed · 2 hit papers · h-index 33
Topics
T-cell and Retrovirus Studies (28 papers)Cancer-related Molecular Pathways (26 papers)Animal Disease Management and Epidemiology (25 papers)

In The Last Decade

Kiyoshi Ohtani

77 papers receiving 4.9k citations

Hit Papers

Cloning of the γ Chain of the Human IL-2 Receptor199220262003201419921995200400600

Peers

Kiyoshi Ohtani
Comparison fields: 5 of 103
  • Molecular Biology 2.6k
  • Immunology 2.1k
  • Oncology 1.9k
  • Agronomy and Crop Science 808
  • Ecology, Evolution, Behavior and Systematics 801
Replace Tetsuya Nosaka with:
Tetsuya Nosaka Japan
Jun–ichi Fujisawa Japan
James C. Mulloy United States
Ramón Garcı́a-Escudero Spain
Isao Hamaguchi Japan
Michiyuki Maeda Japan
W C Greene United States
Jacob-S. Seeler France
David C. Scherer United States
Masaharu Isobe Japan
Kiyoshi Ohtani relative to Tetsuya Nosaka Japan Tetsuya Nosaka's profile →
Citations per field
00.5×1.5×
Tetsuya Nosaka · 1×
Citations per year

Countries citing papers authored by Kiyoshi Ohtani

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Ohtani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoshi Ohtani

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Ohtani. A scholar is included among the top collaborators of Kiyoshi Ohtani 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 Kiyoshi Ohtani. Kiyoshi Ohtani 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 1
2 1
3 1
4 2
5 2
6 12
7 9
8 17
9 12
10 10
11 12
12 56
13 21
14 39
15 55
16
MOLECULAR MECHANISMS OF Tax-MEDIATED CELL GROWTH OF HUMAN T LYMPHOCYTES
1
17 97
18 16
19 80
20 27

About Kiyoshi Ohtani

Kiyoshi Ohtani is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 78 papers that have together received 5.0k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (28 papers), Cancer-related Molecular Pathways (26 papers) and Animal Disease Management and Epidemiology (25 papers). The work is most often cited by research in Immunology (2.1k citations), Agronomy and Crop Science (808 citations) and Oncology (1.9k citations). Kiyoshi Ohtani has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Joseph R. Nevins, Kazuo Sugamura, James DeGregori, Masataka Nakamura, D. Gale Johnson, Ritsuko Iwanaga, Masataka Nakamura, Hironobu Asao, Satoru Kumaki and Nobuyuki Tanaka. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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