Nobuhiko Kamada
- Molecular Biology top 0.5%
- Immunology top 0.5%
- Genetics top 0.5%
- Infectious Diseases top 0.5%
- Surgery top 1%
- Co-authors
- Gabriel NúñezGrace ChenSang‐Uk SeoNaohiro InoharaSho KitamotoToshifumi Hibi∥Hiroko Nagao‐KitamotoTadakazu Hisamatsu
- Topics
- Gut microbiota and health (57 papers)Inflammatory Bowel Disease (30 papers)Clostridium difficile and Clostridium perfringens research (28 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Nobuhiko Kamada
128 papers receiving 15.4k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 8.5k
- Immunology 4.1k
- Genetics 2.8k
- Infectious Diseases 2.8k
- Surgery 1.9k
Countries citing papers authored by Nobuhiko Kamada
This map shows the geographic impact of Nobuhiko Kamada'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 Nobuhiko Kamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuhiko Kamada more than expected).
Fields of papers citing papers by Nobuhiko Kamada
This network shows the impact of papers produced by Nobuhiko Kamada. 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 Nobuhiko Kamada. The network helps show where Nobuhiko Kamada may publish in the future.
Co-authorship network of co-authors of Nobuhiko Kamada
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhiko Kamada. A scholar is included among the top collaborators of Nobuhiko Kamada 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 Nobuhiko Kamada. Nobuhiko Kamada 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 42 | |
| 10 | Generation of systemic antitumour immunity via the in situ modulation of the gut microbiome by an orally administered inulin gelbreakdown → | 203 |
| 11 | 164 | |
| 12 | Hyaluronic acid–bilirubin nanomedicine for targeted modulation of dysregulated intestinal barrier, microbiome and immune responses in colitisbreakdown → | 551 |
| 13 | 30 | |
| 14 | 11 | |
| 15 | 258 | |
| 16 | Regulated Virulence Controls the Ability of a Pathogen to Compete with the Gut Microbiotabreakdown → | 499 |
| 17 | 281 | |
| 18 | 11 | |
| 19 | 187 | |
| 20 | Chromosome aberrations in normal leucocyte cultures induced by plasma irradiated in vitro. | 2 |
About Nobuhiko Kamada
Nobuhiko Kamada is a scholar working on Immunology, Endocrinology and Periodontics, having authored 132 papers that have together received 15.6k indexed citations. Recurring topics across this work include Gut microbiota and health (57 papers), Inflammatory Bowel Disease (30 papers) and Clostridium difficile and Clostridium perfringens research (28 papers). The work is most often cited by research in Gastroenterology (1.1k citations), Immunology (4.1k citations) and Biological Psychiatry (479 citations). Nobuhiko Kamada has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Gabriel Núñez, Grace Chen, Sang‐Uk Seo, Naohiro Inohara, Sho Kitamoto, Toshifumi Hibi∥, Hiroko Nagao‐Kitamoto, Tadakazu Hisamatsu, Yun‐Gi Kim and Eric C. Martens. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.