Shingo Hatoya
Impact in
- Small Animals top 2%
- Veterinary Medicine and Surgery
- Equine top 5%
Papers in
-
- Pluripotent Stem Cells Research 17
- CRISPR and Genetic Engineering 11
- Immunology 21
- Immunotherapy and Immune Responses 13
- Reproductive System and Pregnancy 8
- Co-authors
- Toshio Inaba (54 shared papers)Kikuya Sugiura (50 shared papers)H. Tamada (28 shared papers)N. Kawate (28 shared papers)Viskam Wijewardana (15 shared papers)Ryuzo Torii (10 shared papers)Tsutomu Sawada (13 shared papers)D. Kumagai (8 shared papers)
- Journals
- Theriogenology (9 papers)Veterinary Immunology and Immunopathology (7 papers)Stem Cells and Development (5 papers)Journal of Reproduction and Development (5 papers)PLoS ONE (2 papers)
- Partner nations
- JapanUnited StatesSri Lanka
In The Last Decade
Shingo Hatoya
78 papers receiving 966 citations
Peers
Comparison fields: 5 of 86
- Small Animals 163
- Equine 31
- Reproductive Medicine 112
- Agronomy and Crop Science 139
- Molecular Medicine 41
Countries citing papers authored by Shingo Hatoya
This map shows the geographic impact of Shingo Hatoya'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 Shingo Hatoya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shingo Hatoya more than expected).
Fields of papers citing papers by Shingo Hatoya
This network shows the impact of papers produced by Shingo Hatoya. 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 Shingo Hatoya. The network helps show where Shingo Hatoya may publish in the future.
Co-authors
The 25 scholars most cited alongside Shingo Hatoya, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 84 | |
| 2 | 2004 | 51 | |
| 3 | 2011 | 42 | |
| 4 | 2012 | 39 | |
| 5 | 2013 | 38 | |
| 6 | 2003 | 35 | |
| 7 | 2012 | 34 | |
| 8 | 2011 | 32 | |
| 9 | 2006 | 31 | |
| 10 | 2006 | 29 | |
| 11 | 2015 | 27 | |
| 12 | 2014 | 25 | |
| 13 | 2010 | 25 | |
| 14 | 2006 | 25 | |
| 15 | 2018 | 22 | |
| 16 | 2008 | 21 | |
| 17 | 2020 | 20 | |
| 18 | 2009 | 20 | |
| 19 | 2017 | 19 | |
| 20 | 2011 | 19 |
About Shingo Hatoya
Shingo Hatoya is a scholar working on Molecular Biology, Immunology, Public Health, Environmental and Occupational Health, Genetics and Reproductive Medicine, having authored 81 papers that have together received 996 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (17 papers), Immunotherapy and Immune Responses (13 papers), CRISPR and Genetic Engineering (11 papers), Sperm and Testicular Function (9 papers), Reproductive Biology and Fertility (9 papers), Reproductive System and Pregnancy (8 papers), Reproductive Physiology in Livestock (8 papers) and Animal Genetics and Reproduction (8 papers). The work is most often cited by research in Small Animals (163 citations), Equine (31 citations), Reproductive Medicine (112 citations), Agronomy and Crop Science (139 citations) and Molecular Medicine (41 citations). Shingo Hatoya has collaborated with scholars based in Japan, United States and Sri Lanka. Frequent co-authors include Toshio Inaba, Kikuya Sugiura, H. Tamada, N. Kawate, Viskam Wijewardana, Ryuzo Torii, Tsutomu Sawada, D. Kumagai, Hidetaka Nishida and Masanari Nakayama. Their work appears in journals such as Theriogenology, Veterinary Immunology and Immunopathology, Stem Cells and Development, Journal of Reproduction and Development and PLoS ONE.
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.