Noritada Kobayashi
- Immunology top 5%
- Molecular Biology
- Infectious Diseases top 5%
- Epidemiology top 10%
- Oncology top 10%
- Co-authors
- Yasunobu YoshikaiTakayuki UematsuMasakazu HatanakaKenji HiromatsuNaoki YamamotoHitoshi NishimuraShinji HaradaYoshio Koyanagi
- Topics
- Immune Cell Function and Interaction (15 papers)Immunotherapy and Immune Responses (10 papers)T-cell and Retrovirus Studies (6 papers)
- Cited by
- VirologyImmunologySensory Systems
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Noritada Kobayashi
94 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 128
- Immunology 902
- Molecular Biology 530
- Infectious Diseases 431
- Epidemiology 307
- Oncology 244
Countries citing papers authored by Noritada Kobayashi
This map shows the geographic impact of Noritada 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 Noritada Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noritada Kobayashi more than expected).
Fields of papers citing papers by Noritada Kobayashi
This network shows the impact of papers produced by Noritada 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 Noritada Kobayashi. The network helps show where Noritada Kobayashi may publish in the future.
Co-authorship network of co-authors of Noritada Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Noritada Kobayashi. A scholar is included among the top collaborators of Noritada 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 Noritada Kobayashi. Noritada 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 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 16 | |
| 8 | 21 | |
| 9 | Stratigraphy of the Middle-Upper Permian and Lowermost Triassic at Chaotian, Sichuan, China Record of Late Permian double mass extinction event:Record of Late Permian double mass extinction event | 5 |
| 10 | 1 | |
| 11 | 7 | |
| 12 | Reducing activity and flavor stability of beer | 46 |
| 13 | 74 | |
| 14 | 113 | |
| 15 | 69 | |
| 16 | 161 | |
| 17 | 75 | |
| 18 | 15 | |
| 19 | 30 | |
| 20 | 1 |
About Noritada Kobayashi
Noritada Kobayashi is a scholar working on Immunology, Hematology and Gastroenterology, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and Retrovirus Studies (6 papers). The work is most often cited by research in Virology (220 citations), Immunology (902 citations) and Sensory Systems (120 citations). Noritada Kobayashi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yasunobu Yoshikai, Takayuki Uematsu, Masakazu Hatanaka, Kenji Hiromatsu, Naoki Yamamoto, Hitoshi Nishimura, Shinji Harada, Yoshio Koyanagi, Y Nimura and Goro Matsuzaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.
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.