Tohru Kamata

5.4k total citations · 1 hit paper
74 papers, 4.6k citations indexed

About

Tohru Kamata is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Tohru Kamata has authored 74 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 25 papers in Immunology and 16 papers in Oncology. Recurrent topics in Tohru Kamata's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (15 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and Nitric Oxide and Endothelin Effects (9 papers). Tohru Kamata is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (15 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and Nitric Oxide and Endothelin Effects (9 papers). Tohru Kamata collaborates with scholars based in Japan, United States and Taiwan. Tohru Kamata's co-authors include James R. Feramisco, Junji Mitsushita, Raymond W. Sweet, Mitchell Gross, Martin Rosenberg, Masayoshi Kato, J. David Lambeth, Shiro Yokoyama, Kunitaka Hirose and Shuichi Furuta and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Tohru Kamata

74 papers receiving 4.4k citations

Hit Papers

The product of ras is a GTPase and the T24 oncogenic muta... 1984 2026 1998 2012 1984 100 200 300 400

Peers

Tohru Kamata
Comparison fields: 5 of 113
  • Molecular Biology 2.7k
  • Immunology 1.2k
  • Oncology 881
  • Physiology 656
  • Cancer Research 495
Replace Rosemary O’Connor with:
Rosemary O’Connor Ireland
William F. Matter United States
Ronald L. Magolda United States
Steven Xanthoudakis United States
Giovanni Raugei Italy
Joseph Fargnoli United States
Gregory Hollis United States
Stéphane Rocchi France
Joseph J. Baldassare United States
Abelardo López‐Rivas Spain
Rosemary O’Connor Ireland View profile →
Citations per field, relative to Tohru Kamata
Tohru Kamata · 1×
Citations per year, relative to Tohru Kamata
Tohru Kamata · 1×

Countries citing papers authored by Tohru Kamata

Since Specialization
Citations

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

Fields of papers citing papers by Tohru Kamata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tohru Kamata

This figure shows the co-authorship network connecting the top 25 collaborators of Tohru Kamata. A scholar is included among the top collaborators of Tohru Kamata 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 Tohru Kamata. Tohru Kamata 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 25
2 4
3 158
4 86
5 74
6 91
7 97
8 12
9 86
10 7
11 3
12 23
13 14
14 2
15 94
16 230
17 2
18 50
19 26
20
[An operated case of Mycobacterium fortuitum infection with hemoptysis].
1

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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2026