T. Yan
- Agronomy and Crop Science top 0.05%
- Ruminant Nutrition and Digestive Physiology 135
- Reproductive Physiology in Livestock 38
- Animal Science and Zoology top 0.5%
- Effects of Environmental Stressors on Livestock 24
- Animal Nutrition and Physiology 12
-
- Odor and Emission Control Technologies 13
- Genetics top 1%
- Genetic and phenotypic traits in livestock 62
- Forestry top 1%
-
- Agriculture Sustainability and Environmental Impact 53
-
- Soil and Water Nutrient Dynamics 12
- Co-authors
- R.E. AgnewM. G. PorterC.S. MayneF. J. GordonD.C. PattersonFujiang HouC.P. FerrisAlan Gordon
- Journals
- Journal of Dairy Science (25 papers)Journal of Animal Science (13 papers)animal (10 papers)
- Partner nations
- United KingdomChinaEstonia
In The Last Decade
T. Yan
154 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 114
- Agronomy and Crop Science 2.8k
- Animal Science and Zoology 1.1k
- Process Chemistry and Technology 281
- Genetics 1.2k
- Forestry 170
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 18 | |
| 15 | 2020 | 28 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 14 | |
| 18 | 2018 | 9 | |
| 19 | Equations to predict grass metabolisable energy in pasture-based systems | 2015 | 1 |
| 20 | Energy and protein interactions and their effect on nitrogen excretion in dairy cows | 2010 | 33 |
About T. Yan
T. Yan is a scholar working on Agronomy and Crop Science, Process Chemistry and Technology and Animal Science and Zoology, having authored 161 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (135 papers), Genetic and phenotypic traits in livestock (62 papers), Agriculture Sustainability and Environmental Impact (53 papers), Reproductive Physiology in Livestock (38 papers), Effects of Environmental Stressors on Livestock (24 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) and Process Chemistry and Technology (281 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 Sokratis Stergiadis. Their work appears in journals such as Journal of Dairy Science, Journal of Animal Science, animal, Animal Feed Science and Technology and Animal Science.
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.