H. Shingu
- Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock 15
- Ruminant Nutrition and Digestive Physiology 8
- Milk Quality and Mastitis in Dairy Cows 5
- Animal Science and Zoology top 2%
- Effects of Environmental Stressors on Livestock 7
- Small Animals top 5%
- Animal health and immunology 5
- Endocrine and Autonomic Systems top 10%
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- Genetic and phenotypic traits in livestock 6
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- Adipose Tissue and Metabolism 5
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- Infant Nutrition and Health 5
- Co-authors
- Shiro KushibikiK. HodateM. ShinodaYuichi YokomizoEiko TounoY. ObaraAkira WatanabeYusuke Ueda
- Journals
- Journal of Animal Science (8 papers)Animal Science Journal (7 papers)Journal of Dairy Science (4 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
H. Shingu
39 papers receiving 574 citations
Peers
Comparison fields: 5 of 79
- Agronomy and Crop Science 326
- Animal Science and Zoology 209
- Small Animals 112
- Endocrine and Autonomic Systems 51
- Genetics 153
Countries citing papers authored by H. Shingu
This map shows the geographic impact of H. Shingu'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 H. Shingu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Shingu more than expected).
Fields of papers citing papers by H. Shingu
This network shows the impact of papers produced by H. Shingu. 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 H. Shingu. The network helps show where H. Shingu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside H. Shingu, 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 | 2023 | 0 | |
| 2 | 2019 | 5 | |
| 3 | 2017 | 12 | |
| 4 | 2013 | 30 | |
| 5 | 2012 | 2 | |
| 6 | 2011 | 9 | |
| 7 | 2011 | 9 | |
| 8 | 2009 | 11 | |
| 9 | 2008 | 22 | |
| 10 | 2008 | 12 | |
| 11 | 2007 | 15 | |
| 12 | 2005 | 1 | |
| 13 | 2003 | 83 | |
| 14 | 2002 | 19 | |
| 15 | 2002 | 27 | |
| 16 | 2001 | 21 | |
| 17 | 2001 | 28 | |
| 18 | 2001 | 39 | |
| 19 | Profiles of growth hormone and insulin secretory functions during growing and lactating Japanese black and Japanese shorthorn female cattle: Comparison with Holstein female cattle | 2001 | 1 |
| 20 | 2001 | 24 |
About H. Shingu
H. Shingu is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Small Animals, Leadership and Management and Equine, having authored 40 papers that have together received 595 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (15 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Effects of Environmental Stressors on Livestock (7 papers), Genetic and phenotypic traits in livestock (6 papers), Adipose Tissue and Metabolism (5 papers), Infant Nutrition and Health (5 papers), Animal health and immunology (5 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). The work is most often cited by research in Agronomy and Crop Science (326 citations), Animal Science and Zoology (209 citations), Small Animals (112 citations), Endocrine and Autonomic Systems (51 citations) and Genetics (153 citations). H. Shingu has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Shiro Kushibiki, K. Hodate, M. Shinoda, Yuichi Yokomizo, Eiko Touno, Y. Obara, Akira Watanabe, Yusuke Ueda, Yasukiyo Mori and Takashi Itoh. Their work appears in journals such as Journal of Animal Science, Animal Science Journal, Journal of Dairy Science, Domestic Animal Endocrinology and Veterinary Research Communications.
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.