Ikuo Kaiho
Impact in
- Parasitology top 2%
- Vector-borne infectious diseases
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
- Parasitology 10
- Vector-borne infectious diseases 10
- Parasites and Host Interactions 2
-
- Viral gastroenteritis research and epidemiology 5
- Co-authors
- Tomoko Ogawa (4 shared papers)Kuniko Shinozaki (4 shared papers)Mineyuki Okada (4 shared papers)Yumiko Furuya (8 shared papers)Kazuo Shinozaki (1 shared paper)Michiaki Okada (1 shared paper)Hiroshi Shirasawa (1 shared paper)Yoshimi Tomita (1 shared paper)
In The Last Decade
Ikuo Kaiho
20 papers receiving 688 citations
Peers
Comparison fields: 5 of 50
- Parasitology 297
- Infectious Diseases 434
- Animal Science and Zoology 115
- Microbiology 51
- Cardiology and Cardiovascular Medicine 170
Countries citing papers authored by Ikuo Kaiho
This map shows the geographic impact of Ikuo Kaiho'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 Ikuo Kaiho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuo Kaiho more than expected).
Fields of papers citing papers by Ikuo Kaiho
This network shows the impact of papers produced by Ikuo Kaiho. 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 Ikuo Kaiho. The network helps show where Ikuo Kaiho may publish in the future.
Co-authors
The 25 scholars most cited alongside Ikuo Kaiho, 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 | 2002 | 139 | |
| 2 | 2004 | 123 | |
| 3 | 2002 | 80 | |
| 4 | 2005 | 72 | |
| 5 | 2004 | 57 | |
| 6 | 2003 | 56 | |
| 7 | Adenovirus type 5 substituted with type 11 or 35 fiber structure increases its infectivity to human cells enabling dual gene transfer in CD46-dependent and -independent manners. | 2007 | 34 |
| 8 | 1995 | 34 | |
| 9 | 1996 | 27 | |
| 10 | 2006 | 21 | |
| 11 | 1988 | 14 | |
| 12 | 1998 | 12 | |
| 13 | 2003 | 11 | |
| 14 | 2001 | 9 | |
| 15 | 2001 | 8 | |
| 16 | 1994 | 6 | |
| 17 | 1992 | 6 | |
| 18 | 1993 | 4 | |
| 19 | 1997 | 2 | |
| 20 | 2004 | 1 |
About Ikuo Kaiho
Ikuo Kaiho is a scholar working on Parasitology, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Animal Science and Zoology, having authored 20 papers that have together received 716 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (10 papers), Mosquito-borne diseases and control (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (2 papers), Streptococcal Infections and Treatments (2 papers), Viral Infections and Immunology Research (2 papers) and Parasites and Host Interactions (2 papers). The work is most often cited by research in Parasitology (297 citations), Infectious Diseases (434 citations), Animal Science and Zoology (115 citations), Microbiology (51 citations) and Cardiology and Cardiovascular Medicine (170 citations). Ikuo Kaiho has collaborated with scholars based in Japan, Thailand and Sri Lanka. Frequent co-authors include Tomoko Ogawa, Kuniko Shinozaki, Mineyuki Okada, Yumiko Furuya, Kazuo Shinozaki, Michiaki Okada, Hiroshi Shirasawa, Yoshimi Tomita, Takashi Katayama and Motohiko Ogawa. Their work appears in journals such as Journal of Clinical Microbiology, Kansenshogaku zasshi, Virus Genes, Journal of General Virology and Tropical Medicine & International Health.
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.