Mitsuru Tsudo
- Immunology top 1%
- T-cell and Retrovirus Studies 25
- Immune Cell Function and Interaction 19
- Oncology top 5%
- Hematology top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 10
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- Lymphoma Diagnosis and Treatment 22
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- Monoclonal and Polyclonal Antibodies Research 9
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- Animal Disease Management and Epidemiology 9
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- Vector-Borne Animal Diseases 8
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- CNS Lymphoma Diagnosis and Treatment 6
- Co-authors
- C K GoldmanRobert W. KozakT. A. WaldmannTadatsugu TaniguchiMasayuki MiyasakaMasanori HatakeyamaSeijiro MinamotoTakeshi Doi
- Cited by
- ImmunologyOncologyHematology
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Mitsuru Tsudo
73 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Immunology 2.1k
- Oncology 862
- Hematology 287
- Genetics 258
- Pathology and Forensic Medicine 402
Countries citing papers authored by Mitsuru Tsudo
This map shows the geographic impact of Mitsuru Tsudo'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 Mitsuru Tsudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuru Tsudo more than expected).
Fields of papers citing papers by Mitsuru Tsudo
This network shows the impact of papers produced by Mitsuru Tsudo. 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 Mitsuru Tsudo. The network helps show where Mitsuru Tsudo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mitsuru Tsudo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 10 | |
| 2 | 2013 | 129 | |
| 3 | 2012 | 13 | |
| 4 | 2011 | 75 | |
| 5 | 2010 | 23 | |
| 6 | 2009 | 13 | |
| 7 | 2008 | 10 | |
| 8 | 2008 | 7 | |
| 9 | 2006 | 7 | |
| 10 | 2006 | 18 | |
| 11 | 2003 | 25 | |
| 12 | 1994 | 11 | |
| 13 | 1993 | 34 | |
| 14 | 1992 | 81 | |
| 15 | 1992 | 3 | |
| 16 | 1992 | 37 | |
| 17 | 1990 | 48 | |
| 18 | Involvement of both Tac and non-Tac interleukin 2-binding peptides in the interleukin 2-dependent proliferation of human tumor-infiltrating lymphocytes. | 1989 | 15 |
| 19 | 1989 | 2 | |
| 20 | 1986 | 403 |
About Mitsuru Tsudo
Mitsuru Tsudo is a scholar working on Immunology, Genetics and Pathology and Forensic Medicine, having authored 75 papers that have together received 3.1k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (25 papers), Lymphoma Diagnosis and Treatment (22 papers), Immune Cell Function and Interaction (19 papers), Chronic Lymphocytic Leukemia Research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Animal Disease Management and Epidemiology (9 papers), Vector-Borne Animal Diseases (8 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Immunology (2.1k citations), Oncology (862 citations) and Hematology (287 citations). Mitsuru Tsudo has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include C K Goldman, Robert W. Kozak, T. A. Waldmann, Tadatsugu Taniguchi, Masayuki Miyasaka, Masanori Hatakeyama, Seijiro Minamoto, Takeshi Doi, Takashi Miyata and Takeshi Kono. Their work appears in journals such as The Journal of Immunology, Blood, Leukemia Research, Proceedings of the National Academy of Sciences and International Journal of Hematology.
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.