Kazuo Sugamura

25.1k total citations · 4 hit papers
304 papers, 20.8k citations indexed

About

Kazuo Sugamura is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Kazuo Sugamura has authored 304 papers receiving a total of 20.8k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Immunology, 67 papers in Oncology and 50 papers in Molecular Biology. Recurrent topics in Kazuo Sugamura's work include Immune Cell Function and Interaction (102 papers), T-cell and Retrovirus Studies (68 papers) and T-cell and B-cell Immunology (62 papers). Kazuo Sugamura is often cited by papers focused on Immune Cell Function and Interaction (102 papers), T-cell and Retrovirus Studies (68 papers) and T-cell and B-cell Immunology (62 papers). Kazuo Sugamura collaborates with scholars based in Japan, United States and France. Kazuo Sugamura's co-authors include Naoto Ishii, Hironobu Asao, Masataka Nakamura, Toshikazu Takeshita, Nobuyuki Tanaka, Motonari Kondo, Kiyoshi Ohtani, Masataka Nakamura, Yorio Hinuma and Satoru Kumaki and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Kazuo Sugamura

303 papers receiving 20.2k citations

Hit Papers

NOD/SCID/γcnull mouse: an excellent recipient mouse model... 1992 2026 2003 2014 2002 2001 1992 1993 250 500 750 1000

Peers

Kazuo Sugamura
Comparison fields: 5 of 134
  • Immunology 12.2k
  • Molecular Biology 4.9k
  • Oncology 4.0k
  • Infectious Diseases 1.8k
  • Physiology 1.8k
Replace Shoji Yamaoka with:
Shoji Yamaoka Japan
Francis W. Ruscetti United States
Paula M. Pitha United States
Kendall A. Smith United States
Ulrich Siebenlist United States
Curt M. Horvath United States
Naoko Arai Japan
David Cosman United States
Ganes C. Sen United States
Shin Yonehara Japan
Shoji Yamaoka Japan View profile →
Citations per field, relative to Kazuo Sugamura
Kazuo Sugamura · 1×
Citations per year, relative to Kazuo Sugamura
Kazuo Sugamura · 1×

Countries citing papers authored by Kazuo Sugamura

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Sugamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuo Sugamura

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Sugamura. A scholar is included among the top collaborators of Kazuo Sugamura 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 Kazuo Sugamura. Kazuo Sugamura 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
2 165
3 23
4 126
5 49
6 56
7 151
8 65
9 179
10 249
11
Two Decades of Adult T-Cell Leukemia and HTLV-I Research
5
12 100
13 37
14 430
15 56
16 89
17 179
18 48
19 18
20 32

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