Tetsuji Naka
- Immunology top 0.2%
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 14
- interferon and immune responses 12
- Oncology top 0.2%
- Cytokine Signaling Pathways and Interactions 51
- Clusterin in disease pathology 18
- Pharmacology top 0.2%
- Pharmacological Effects of Natural Compounds 12
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism 10
- Biological Psychiatry top 2%
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- Glycosylation and Glycoproteins Research 13
- Co-authors
- Tadamitsu KishimotoMinoru FujimotoAkihiko YoshimuraMasato KuboSatoshi SeradaAkihiro KimuraNorihiro NishimotoMasashi Narazaki
- Cited by
- ImmunologyOncologyPharmacology
- Journals
- International Journal of Cancer (12 papers)Proceedings of the National Academy of Sciences (10 papers)Cancer Research (9 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Tetsuji Naka
196 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 6.4k
- Oncology 5.1k
- Pharmacology 887
- Cancer Research 1.5k
- Biological Psychiatry 174
Countries citing papers authored by Tetsuji Naka
This map shows the geographic impact of Tetsuji Naka'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 Tetsuji Naka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuji Naka more than expected).
Fields of papers citing papers by Tetsuji Naka
This network shows the impact of papers produced by Tetsuji Naka. 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 Tetsuji Naka. The network helps show where Tetsuji Naka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsuji Naka, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 15 | |
| 7 | 2020 | 10 | |
| 8 | 2019 | 5 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 37 | |
| 11 | 2017 | 33 | |
| 12 | 2015 | 8 | |
| 13 | 2013 | 55 | |
| 14 | 2012 | 36 | |
| 15 | 2010 | 14 | |
| 16 | 2008 | 429 | |
| 17 | 2005 | 11 | |
| 18 | 20. The effect influenced to physical movement by an insole | 2003 | 0 |
| 19 | 2000 | 86 | |
| 20 | 2000 | 65 |
About Tetsuji Naka
Tetsuji Naka is a scholar working on Oncology, Immunology and Pharmacology, having authored 202 papers that have together received 13.4k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (51 papers), Clusterin in disease pathology (18 papers), Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (14 papers), Glycosylation and Glycoproteins Research (13 papers), interferon and immune responses (12 papers), Pharmacological Effects of Natural Compounds (12 papers) and Cancer, Lipids, and Metabolism (10 papers). The work is most often cited by research in Immunology (6.4k citations), Oncology (5.1k citations) and Pharmacology (887 citations). Tetsuji Naka has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tadamitsu Kishimoto, Minoru Fujimoto, Akihiko Yoshimura, Masato Kubo, Satoshi Serada, Akihiro Kimura, Norihiro Nishimoto, Masashi Narazaki, Shizuo Akira and Tomoshige Matsumoto. Their work appears in journals such as International Journal of Cancer, Proceedings of the National Academy of Sciences, Cancer Research, The Journal of Immunology and Biochemical and Biophysical Research Communications.
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.