T. Yan
Impact in
- Agronomy and Crop Science top 0.05%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
- Animal Science and Zoology top 0.2%
- Effects of Environmental Stressors on Livestock
- Animal Nutrition and Physiology
Papers in
-
- Ruminant Nutrition and Digestive Physiology 134
- Reproductive Physiology in Livestock 36
- Genetics 60
- Genetic and phenotypic traits in livestock 60
- Co-authors
- R.E. Agnew (24 shared papers)M. G. Porter (12 shared papers)C.S. Mayne (13 shared papers)F. J. Gordon (15 shared papers)D.C. Patterson (12 shared papers)Fujiang Hou (22 shared papers)C.P. Ferris (14 shared papers)Alan Gordon (17 shared papers)
- Journals
- Journal of Dairy Science (25 papers)Journal of Animal Science (13 papers)animal (10 papers)Animal Science (7 papers)Animals (7 papers)
- Partner nations
- United KingdomChinaEstonia
In The Last Decade
T. Yan
155 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 113
- Agronomy and Crop Science 2.8k
- Animal Science and Zoology 1.1k
- Process Chemistry and Technology 275
- Genetics 1.2k
- Forestry 169
Countries citing papers authored by T. Yan
This map shows the geographic impact of T. Yan'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 T. Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Yan more than expected).
Fields of papers citing papers by T. Yan
This network shows the impact of papers produced by T. Yan. 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 T. Yan. The network helps show where T. Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Yan, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 224 | |
| 2 | 2000 | 171 | |
| 3 | 2010 | 160 | |
| 4 | 2017 | 129 | |
| 5 | 2000 | 121 | |
| 6 | 2010 | 117 | |
| 7 | 2006 | 89 | |
| 8 | 2009 | 88 | |
| 9 | 2019 | 82 | |
| 10 | 2020 | 80 | |
| 11 | 2006 | 79 | |
| 12 | 1995 | 76 | |
| 13 | 1997 | 73 | |
| 14 | 2007 | 72 | |
| 15 | 2012 | 72 | |
| 16 | 1999 | 70 | |
| 17 | 2015 | 65 | |
| 18 | 2011 | 59 | |
| 19 | 2009 | 59 | |
| 20 | 2015 | 55 |
About T. Yan
T. Yan is a scholar working on Agronomy and Crop Science, Genetics, Ecology, Animal Science and Zoology and Forestry, having authored 161 papers that have together received 4.0k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (134 papers), Genetic and phenotypic traits in livestock (60 papers), Agriculture Sustainability and Environmental Impact (53 papers), Reproductive Physiology in Livestock (36 papers), Effects of Environmental Stressors on Livestock (23 papers), Odor and Emission Control Technologies (13 papers), Soil and Water Nutrient Dynamics (12 papers) and Animal Nutrition and Physiology (12 papers). The work is most often cited by research in Agronomy and Crop Science (2.8k citations), Animal Science and Zoology (1.1k citations), Process Chemistry and Technology (275 citations), Genetics (1.2k citations) and Forestry (169 citations). T. Yan has collaborated with scholars based in United Kingdom, China and Estonia. Frequent co-authors include R.E. Agnew, M. G. Porter, C.S. Mayne, F. J. Gordon, D.C. Patterson, Fujiang Hou, C.P. Ferris, Alan Gordon, David Wills and Shenghua Chang. Their work appears in journals such as Journal of Dairy Science, Journal of Animal Science, animal, Animal Science and Animals.
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.