Koichi KADOTA
- Pulmonary and Respiratory Medicine top 10%
- Immunology top 10%
- Epidemiology top 10%
- Small Animals top 2%
- Genetics
- Co-authors
- Tomoyuki SHIBAHARAYoshiharu ISHIKAWAY. IshikawaShinichi HatamaYoshihiro WadaHiroshi KondoHiromi NakajimaIkuo Uchida
- Topics
- T-cell and Retrovirus Studies (43 papers)Veterinary Oncology Research (31 papers)Mycobacterium research and diagnosis (17 papers)
- Journals
- European Journal of PharmacologyBiochimica et Biophysica Acta (BBA) - General SubjectsVeterinary Parasitology
- Partner nations
- JapanFranceUnited States
In The Last Decade
Koichi KADOTA
140 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Pulmonary and Respiratory Medicine 387
- Immunology 325
- Epidemiology 259
- Small Animals 204
- Genetics 176
Countries citing papers authored by Koichi KADOTA
This map shows the geographic impact of Koichi KADOTA'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 Koichi KADOTA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi KADOTA more than expected).
Fields of papers citing papers by Koichi KADOTA
This network shows the impact of papers produced by Koichi KADOTA. 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 Koichi KADOTA. The network helps show where Koichi KADOTA may publish in the future.
Co-authorship network of co-authors of Koichi KADOTA
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi KADOTA. A scholar is included among the top collaborators of Koichi KADOTA 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 Koichi KADOTA. Koichi KADOTA is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | Swine Lymphoma:Histological Characterization and Classification | 1 |
| 8 | An Immunohistochemical and Ultrastructural Study of Thymic Lymphoma in a Steer | 7 |
| 9 | 7 | |
| 10 | Study on relationships between serum gamma-globulin concentration and pathological characteristics in bovine lymphosarcoma | 2 |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 4 |
About Koichi KADOTA
Koichi KADOTA is a scholar working on Small Animals, Microbiology and Immunology, having authored 143 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (43 papers), Veterinary Oncology Research (31 papers) and Mycobacterium research and diagnosis (17 papers). The work is most often cited by research in Small Animals (204 citations), Microbiology (126 citations) and Animal Science and Zoology (170 citations). Koichi KADOTA has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Tomoyuki SHIBAHARA, Yoshiharu ISHIKAWA, Y. Ishikawa, Shinichi Hatama, Yoshihiro Wada, Hiroshi Kondo, Hiromi Nakajima, Ikuo Uchida, Toru Kanno and Yukio Kitano. Their work appears in journals such as European Journal of Pharmacology, Biochimica et Biophysica Acta (BBA) - General Subjects and Veterinary Parasitology.
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.