Ken‐ichi Tanamoto
- Immunology top 1%
- Molecular Biology top 10%
- Health, Toxicology and Mutagenesis top 5%
- Cancer Research top 10%
- Epidemiology top 10%
- Co-authors
- Masashi MuroiTakahiro OhnishiHisami IkedaMitsuhiro FujiharaTsuneo SuzukiHiroshi AzumaMotoh MutsugaYuji Haishima
- Topics
- Immune Response and Inflammation (48 papers)NF-κB Signaling Pathways (10 papers)Fatty Acid Research and Health (9 papers)
- Cited by
- ImmunologyMicrobiologyPeriodontics
- Partner nations
- JapanSri LankaUnited States
In The Last Decade
Ken‐ichi Tanamoto
117 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 145
- Immunology 1.5k
- Molecular Biology 936
- Health, Toxicology and Mutagenesis 311
- Cancer Research 303
- Epidemiology 297
Countries citing papers authored by Ken‐ichi Tanamoto
This map shows the geographic impact of Ken‐ichi Tanamoto'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 Ken‐ichi Tanamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken‐ichi Tanamoto more than expected).
Fields of papers citing papers by Ken‐ichi Tanamoto
This network shows the impact of papers produced by Ken‐ichi Tanamoto. 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 Ken‐ichi Tanamoto. The network helps show where Ken‐ichi Tanamoto may publish in the future.
Co-authorship network of co-authors of Ken‐ichi Tanamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐ichi Tanamoto. A scholar is included among the top collaborators of Ken‐ichi Tanamoto 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 Ken‐ichi Tanamoto. Ken‐ichi Tanamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 20 | |
| 9 | 20 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 465 | |
| 16 | 9 | |
| 17 | 76 | |
| 18 | 72 | |
| 19 | 15 | |
| 20 | Effectiveness of immunization with single and multi-component vaccines prepared from a common antigen (OEP), protease and elastase toxoids of Pseudomonas aeruginosa on protection against hemorrhagic pneumonia in mink due to P. aeruginosa. | 50 |
About Ken‐ichi Tanamoto
Ken‐ichi Tanamoto is a scholar working on Immunology, Microbiology and Nutrition and Dietetics, having authored 117 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Response and Inflammation (48 papers), NF-κB Signaling Pathways (10 papers) and Fatty Acid Research and Health (9 papers). The work is most often cited by research in Immunology (1.5k citations), Microbiology (292 citations) and Periodontics (139 citations). Ken‐ichi Tanamoto has collaborated with scholars based in Japan, Sri Lanka and United States. Frequent co-authors include Masashi Muroi, Takahiro Ohnishi, Hisami Ikeda, Mitsuhiro Fujihara, Tsuneo Suzuki, Hiroshi Azuma, Motoh Mutsuga, Yuji Haishima, Tomoyuki Umemoto and H. Kumada. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Clinical Infectious Diseases.
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.