Nobuyuki Tanaka
- Immunology top 0.1%
- interferon and immune responses 31
- Immune Cell Function and Interaction 26
- Immune Response and Inflammation 20
- Oncology top 0.2%
- Cytokine Signaling Pathways and Interactions 49
- Cancer-related Molecular Pathways 36
- Cancer Research top 0.2%
- Molecular Biology top 0.5%
- Hepatology top 1%
- Liver physiology and pathology 22
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- Organ Transplantation Techniques and Outcomes 33
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- Chemical Looping and Thermochemical Processes 26
- Co-authors
- Tadatsugu TaniguchiAkinori TakaokaMitsuharu SatoKouetsu OgasawaraEri OdaNaoki HataTakashi TokinoHideki Murasawa
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Nobuyuki Tanaka
558 papers receiving 21.7k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Immunology 7.5k
- Oncology 6.7k
- Cancer Research 3.5k
- Molecular Biology 9.3k
- Hepatology 794
Countries citing papers authored by Nobuyuki Tanaka
This map shows the geographic impact of Nobuyuki Tanaka'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 Nobuyuki Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuyuki Tanaka more than expected).
Fields of papers citing papers by Nobuyuki Tanaka
This network shows the impact of papers produced by Nobuyuki Tanaka. 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 Nobuyuki Tanaka. The network helps show where Nobuyuki Tanaka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nobuyuki Tanaka, 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 | 2024 | 4 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 11 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 12 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 24 | |
| 11 | 2019 | 18 | |
| 12 | 2008 | 56 | |
| 13 | 2008 | 113 | |
| 14 | 2008 | 1 | |
| 15 | 1xN ultra high speed optical switching sub-systems using PLZT waveguide devices | 2006 | 5 |
| 16 | 2003 | 269 | |
| 17 | 2000 | 2 | |
| 18 | EFFECT OF 1-ALPHA-HYDROXYVITAMIN-D3 ON POSTMENOPAUSAL OSTEOPOROSIS WAS ACCOMPANIED WITH INCREASED CALCITONIN SECRETION | 1995 | 0 |
| 19 | 1992 | 79 | |
| 20 | Comparative studies on activities of antimicrobial agents against causative organisms isolated from urinary tract infections (1987) | 1990 | 3 |
About Nobuyuki Tanaka
Nobuyuki Tanaka is a scholar working on Oncology, Hepatology and Immunology, having authored 586 papers that have together received 22.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (49 papers), Cancer-related Molecular Pathways (36 papers), Organ Transplantation Techniques and Outcomes (33 papers), interferon and immune responses (31 papers), Chemical Looping and Thermochemical Processes (26 papers), Immune Cell Function and Interaction (26 papers), Liver physiology and pathology (22 papers) and Immune Response and Inflammation (20 papers). The work is most often cited by research in Immunology (7.5k citations), Oncology (6.7k citations) and Cancer Research (3.5k citations). Nobuyuki Tanaka has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tadatsugu Taniguchi, Akinori Takaoka, Mitsuharu Sato, Kouetsu Ogasawara, Eri Oda, Naoki Hata, Takashi Tokino, Hideki Murasawa, Keiko Kawauchi and Masataka Asagiri. Their work appears in journals such as Nature, Science and Cell.
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.