Nobumasa Watanabe
- Immunology top 5%
- Oncology top 5%
- Molecular Biology
- Cancer Research top 10%
- Epidemiology
- Co-authors
- Tadatsugu TaniguchiTakashi FujitaLuiz F. L. ReisT TaniguchiJ VilčekToshitsugu FujitaY. KimuraJun Sakakibara
- Topics
- interferon and immune responses (4 papers)Immune Cell Function and Interaction (4 papers)Cytokine Signaling Pathways and Interactions (4 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Nobumasa Watanabe
19 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Immunology 886
- Oncology 531
- Molecular Biology 378
- Cancer Research 196
- Epidemiology 157
Countries citing papers authored by Nobumasa Watanabe
This map shows the geographic impact of Nobumasa Watanabe'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 Nobumasa Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobumasa Watanabe more than expected).
Fields of papers citing papers by Nobumasa Watanabe
This network shows the impact of papers produced by Nobumasa Watanabe. 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 Nobumasa Watanabe. The network helps show where Nobumasa Watanabe may publish in the future.
Co-authorship network of co-authors of Nobumasa Watanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Nobumasa Watanabe. A scholar is included among the top collaborators of Nobumasa Watanabe 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 Nobumasa Watanabe. Nobumasa Watanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 109 | |
| 12 | 36 | |
| 13 | 23 | |
| 14 | Targeted disruption of IRF-1 or IRF-2 results in abnormal type I IFN gene induction and aberrant lymphocyte developmentbreakdown → | 566 |
| 15 | [Involvement of positive (IRF-1) and negative (IRF-2) transcription factors in the gene regulation of the type I interferon system]. | 4 |
| 16 | 186 | |
| 17 | 12 | |
| 18 | 19 | |
| 19 | 263 |
About Nobumasa Watanabe
Nobumasa Watanabe is a scholar working on Immunology, Immunology and Allergy and Biotechnology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include interferon and immune responses (4 papers), Immune Cell Function and Interaction (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Immunology (886 citations), Oncology (531 citations) and Cancer Research (196 citations). Nobumasa Watanabe has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Tadatsugu Taniguchi, Takashi Fujita, Luiz F. L. Reis, T Taniguchi, J Vilček, Toshitsugu Fujita, Y. Kimura, Jun Sakakibara, Ara G. Hovanessian and Takatoshi Kawakami. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.