Kenichiro Ono
Impact in
- Small Animals top 2%
- Infectious Diseases and Mycology
- Equine top 5%
Papers in
- Immunology 31
- Mast cells and histamine 8
- T-cell and Retrovirus Studies 6
- Co-authors
- Naoaki MatsukiMakoto BonkobaraTsukimi WashizuSatoshi TamaharaAtsuhiko HasegawaMayu IsotaniKojiro WadaHiroko Yagihara
- Journals
- The Veterinary Journal (7 papers)Veterinary Immunology and Immunopathology (7 papers)Journal of Veterinary Medical Science (44 papers)Biochemical and Biophysical Research Communications (3 papers)Journal of Veterinary Diagnostic Investigation (3 papers)
- Partner nations
- JapanThailandUnited States
In The Last Decade
Kenichiro Ono
159 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 126
- Small Animals 211
- Equine 37
- Immunology and Allergy 119
- Immunology 414
- Microbiology 110
Countries citing papers authored by Kenichiro Ono
This map shows the geographic impact of Kenichiro Ono'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 Kenichiro Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichiro Ono more than expected).
Fields of papers citing papers by Kenichiro Ono
This network shows the impact of papers produced by Kenichiro Ono. 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 Kenichiro Ono. The network helps show where Kenichiro Ono may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenichiro Ono, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2019 | 10 | |
| 4 | 2013 | 25 | |
| 5 | 2009 | 5 | |
| 6 | 2009 | 39 | |
| 7 | 2008 | 70 | |
| 8 | 2005 | 11 | |
| 9 | 2005 | 37 | |
| 10 | SERUM INTERLEUKIN-12 LEVELS AND SPLENIC HELPER T CELL SUBPOPULATION IN BABESIA RODHAINI INOCULATED MICE PREIMMUNIZED WITH BABESIA MICROTI | 2004 | 0 |
| 11 | 2003 | 12 | |
| 12 | 1999 | 4 | |
| 13 | 1998 | 1 | |
| 14 | 1996 | 137 | |
| 15 | 1996 | 18 | |
| 16 | 1995 | 12 | |
| 17 | 1992 | 3 | |
| 18 | In Vitro Excystation and Cryoreservation of Ovine and Caprine Sarcocystis species | 1991 | 5 |
| 19 | 1990 | 36 | |
| 20 | 1990 | 4 |
About Kenichiro Ono
Kenichiro Ono is a scholar working on Immunology, Parasitology, Equine, Small Animals and Hematology, having authored 165 papers that have together received 2.3k indexed citations. Recurring topics across this work include Veterinary Oncology Research (20 papers), Virus-based gene therapy research (12 papers), Glycosylation and Glycoproteins Research (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Mast cells and histamine (8 papers), Pancreatic function and diabetes (7 papers), T-cell and Retrovirus Studies (6 papers) and Mosquito-borne diseases and control (6 papers). The work is most often cited by research in Small Animals (211 citations), Equine (37 citations), Immunology and Allergy (119 citations), Immunology (414 citations) and Microbiology (110 citations). Kenichiro Ono has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Naoaki Matsuki, Makoto Bonkobara, Tsukimi Washizu, Satoshi Tamahara, Atsuhiko Hasegawa, Mayu Isotani, Kojiro Wada, Hiroko Yagihara, Kyoichi Tamura and Toshiki Shirotani. Their work appears in journals such as The Veterinary Journal, Veterinary Immunology and Immunopathology, Journal of Veterinary Medical Science, Biochemical and Biophysical Research Communications and Journal of Veterinary Diagnostic Investigation.
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.