Shoki Yano
Impact in
-
- T-cell and Retrovirus Studies
Papers in
- Immunology 12
- T-cell and Retrovirus Studies 8
-
- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Yuji Ohtsuki (10 shared papers)Kuniaki Otsuka (4 shared papers)Isao Miyoshi (9 shared papers)Kei Fujinaga (3 shared papers)Toru Kita (2 shared papers)Hiroto Shimojo (1 shared paper)Taizo Wada (3 shared papers)Hiroshi Handa (1 shared paper)
- Journals
- Cancer (4 papers)Vaccine (3 papers)Virology (2 papers)Journal of Medical Microbiology (2 papers)American Journal of Hematology (2 papers)
- Partner nations
- JapanUnited StatesSlovakia
In The Last Decade
Shoki Yano
37 papers receiving 679 citations
Peers
Comparison fields: 5 of 98
- Neuropsychology and Physiological Psychology 12
- Immunology 143
- Agronomy and Crop Science 70
- Pathology and Forensic Medicine 95
- Endocrinology 29
Countries citing papers authored by Shoki Yano
This map shows the geographic impact of Shoki Yano'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 Shoki Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoki Yano more than expected).
Fields of papers citing papers by Shoki Yano
This network shows the impact of papers produced by Shoki Yano. 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 Shoki Yano. The network helps show where Shoki Yano may publish in the future.
Co-authors
The 25 scholars most cited alongside Shoki Yano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 131 | |
| 2 | 1977 | 95 | |
| 3 | 2002 | 76 | |
| 4 | Experimental infection of rabbits with human T-cell leukemia virus type I. | 1985 | 41 |
| 5 | 1989 | 35 | |
| 6 | 1986 | 33 | |
| 7 | 2004 | 27 | |
| 8 | 1982 | 23 | |
| 9 | 2003 | 22 | |
| 10 | 2004 | 21 | |
| 11 | Oral transmission of human T-cell leukemia virus type I in the rabbit. | 1986 | 21 |
| 12 | 1999 | 20 | |
| 13 | 2004 | 19 | |
| 14 | 2000 | 18 | |
| 15 | 2001 | 18 | |
| 16 | 1999 | 18 | |
| 17 | 1992 | 13 | |
| 18 | 1995 | 12 | |
| 19 | 2002 | 11 | |
| 20 | 1997 | 11 |
About Shoki Yano
Shoki Yano is a scholar working on Immunology, Pathology and Forensic Medicine, Oncology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 37 papers that have together received 746 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (9 papers), Lymphoma Diagnosis and Treatment (9 papers), T-cell and Retrovirus Studies (8 papers), Vector-Borne Animal Diseases (5 papers), Animal Disease Management and Epidemiology (5 papers), Parvovirus B19 Infection Studies (3 papers), Eosinophilic Disorders and Syndromes (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (12 citations), Immunology (143 citations), Agronomy and Crop Science (70 citations), Pathology and Forensic Medicine (95 citations) and Endocrinology (29 citations). Shoki Yano has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Yuji Ohtsuki, Kuniaki Otsuka, Isao Miyoshi, Kei Fujinaga, Toru Kita, Hiroto Shimojo, Taizo Wada, Hiroshi Handa, Kozo Matsubayashi and Kazuko Shiroki. Their work appears in journals such as Cancer, Vaccine, Virology, Journal of Medical Microbiology and American Journal of Hematology.
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.