Eiji Kawamoto
- Molecular Biology
- Immunology top 10%
- Epidemiology top 10%
- Microbiology top 2%
- Cancer Research
- Co-authors
- Motomu ShimaokaEun Jeong ParkTakayuki OkamotoArong GaowaMichael G. AppiahTakuo SawadaSamuel DarkwahPhyoe Kyawe Myint
- Topics
- Microbial infections and disease research (19 papers)Rabies epidemiology and control (13 papers)Extracellular vesicles in disease (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesBrazil
In The Last Decade
Eiji Kawamoto
91 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 497
- Immunology 276
- Epidemiology 259
- Microbiology 257
- Cancer Research 147
Countries citing papers authored by Eiji Kawamoto
This map shows the geographic impact of Eiji Kawamoto'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 Eiji Kawamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Kawamoto more than expected).
Fields of papers citing papers by Eiji Kawamoto
This network shows the impact of papers produced by Eiji Kawamoto. 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 Eiji Kawamoto. The network helps show where Eiji Kawamoto may publish in the future.
Co-authorship network of co-authors of Eiji Kawamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Kawamoto. A scholar is included among the top collaborators of Eiji Kawamoto 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 Eiji Kawamoto. Eiji Kawamoto 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 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 21 | |
| 7 | 4 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 10 | |
| 12 | 44 | |
| 13 | 8 | |
| 14 | 28 | |
| 15 | 0 | |
| 16 | 11 | |
| 17 | 37 | |
| 18 | HYPO-ACTIVITY OF LIVER INSULIN RECEPTOR IN GOTO-KAKISAKI RATS IMPROVED BY NATURAL VANADIUM CONTANING WATER(Endocrinology,Abstracts of papers presented at the 74^ Annual Meeting of the Zoological Society of Japan) | 1 |
| 19 | 27 | |
| 20 | 13 |
About Eiji Kawamoto
Eiji Kawamoto is a scholar working on Microbiology, Virology and Immunology and Allergy, having authored 100 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial infections and disease research (19 papers), Rabies epidemiology and control (13 papers) and Extracellular vesicles in disease (11 papers). The work is most often cited by research in Microbiology (257 citations), Virology (96 citations) and Immunology and Allergy (98 citations). Eiji Kawamoto has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Motomu Shimaoka, Eun Jeong Park, Takayuki Okamoto, Arong Gaowa, Michael G. Appiah, Takuo Sawada, Samuel Darkwah, Phyoe Kyawe Myint, Seigo Shimakura and Hiraku Sasaki. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.
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.