Masaya Kobayashi
- Immunology top 2%
- Cancer Research top 10%
- Molecular Biology
- Epidemiology
- Oncology
- Co-authors
- Kiyoshi TakedaShizuo AkiraMasahiro YamamotoSatoshi UematsuOsamu TakeuchiTsuneyasu KaishoHideki SanjoTakashi Fujita
- Topics
- Immune Response and Inflammation (3 papers)IL-33, ST2, and ILC Pathways (2 papers)Helicobacter pylori-related gastroenterology studies (2 papers)
- Journals
- NatureJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited States
In The Last Decade
Masaya Kobayashi
11 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Immunology 933
- Cancer Research 229
- Molecular Biology 216
- Epidemiology 186
- Oncology 178
Countries citing papers authored by Masaya Kobayashi
This map shows the geographic impact of Masaya Kobayashi'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 Masaya Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaya Kobayashi more than expected).
Fields of papers citing papers by Masaya Kobayashi
This network shows the impact of papers produced by Masaya Kobayashi. 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 Masaya Kobayashi. The network helps show where Masaya Kobayashi may publish in the future.
Co-authorship network of co-authors of Masaya Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Masaya Kobayashi. A scholar is included among the top collaborators of Masaya Kobayashi 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 Masaya Kobayashi. Masaya Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | Enhanced expression of programmed death-1 (PD-1)/PD-L1 in salivary glands of patients with Sjögren's syndrome. | 68 |
| 8 | 199 | |
| 9 | CD4+ PD-1+ T cells accumulate as unique anergic cells in rheumatoid arthritis synovial fluid. | 83 |
| 10 | 15 | |
| 11 | Essential role for TIRAP in activation of the signalling cascade shared by TLR2 and TLR4breakdown → | 801 |
| 12 | [Myocardial tissue calcium kinetics in human atria during cardiopulmonary bypass]. | 1 |
About Masaya Kobayashi
Masaya Kobayashi is a scholar working on Immunology, Endocrine and Autonomic Systems and Biochemistry, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (3 papers), IL-33, ST2, and ILC Pathways (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Immunology (933 citations), Cancer Research (229 citations) and Microbiology (87 citations). Masaya Kobayashi has collaborated with scholars based in Japan and United States. Frequent co-authors include Kiyoshi Takeda, Shizuo Akira, Masahiro Yamamoto, Satoshi Uematsu, Osamu Takeuchi, Tsuneyasu Kaisho, Hideki Sanjo, Takashi Fujita, Shintaro Sato and Katsuaki Hoshino. Their work appears in journals such as Nature, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.