Ping Yan
Impact in
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality
Papers in
- Genetics 17
- Genetic and phenotypic traits in livestock 16
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- Ruminant Nutrition and Digestive Physiology 8
- Co-authors
- Xian Guo (27 shared papers)Chunnian Liang (28 shared papers)Pengjia Bao (22 shared papers)Min Chu (18 shared papers)Jinming Xu (1 shared paper)Chung Y. Hsu (1 shared paper)Jan Xu (1 shared paper)Sheng‐Kwei Song (1 shared paper)
- Journals
- Animals (6 papers)BMC Genomics (6 papers)Frontiers in Microbiology (4 papers)International Journal of Molecular Sciences (2 papers)Frontiers in Veterinary Science (2 papers)
- Partner nations
- ChinaKenyaUnited States
In The Last Decade
Ping Yan
62 papers receiving 841 citations
Peers
Comparison fields: 5 of 99
- Agronomy and Crop Science 131
- Animal Science and Zoology 71
- Pathology and Forensic Medicine 73
- Genetics 118
- Urology 26
Countries citing papers authored by Ping Yan
This map shows the geographic impact of Ping 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 Ping Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Yan more than expected).
Fields of papers citing papers by Ping Yan
This network shows the impact of papers produced by Ping 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 Ping Yan. The network helps show where Ping Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 119 | |
| 2 | 2021 | 88 | |
| 3 | 2015 | 49 | |
| 4 | 2017 | 47 | |
| 5 | 2021 | 41 | |
| 6 | 2021 | 34 | |
| 7 | 2022 | 30 | |
| 8 | 2022 | 30 | |
| 9 | 2018 | 26 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 21 | |
| 12 | 2017 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 18 | |
| 15 | 2023 | 18 | |
| 16 | 2018 | 17 | |
| 17 | 2023 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2022 | 13 |
About Ping Yan
Ping Yan is a scholar working on Genetics, Agronomy and Crop Science, Molecular Biology, Animal Science and Zoology and Cancer Research, having authored 66 papers that have together received 865 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (16 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Muscle Physiology and Disorders (5 papers), Meat and Animal Product Quality (4 papers), RNA regulation and disease (3 papers), Hair Growth and Disorders (3 papers), Sperm and Testicular Function (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Agronomy and Crop Science (131 citations), Animal Science and Zoology (71 citations), Pathology and Forensic Medicine (73 citations), Genetics (118 citations) and Urology (26 citations). Ping Yan has collaborated with scholars based in China, Kenya and United States. Frequent co-authors include Xian Guo, Chunnian Liang, Pengjia Bao, Min Chu, Jinming Xu, Chung Y. Hsu, Jan Xu, Sheng‐Kwei Song, Xiao‐Ming Xu and Gyeong-Moon Kim. Their work appears in journals such as Animals, BMC Genomics, Frontiers in Microbiology, International Journal of Molecular Sciences and Frontiers in Veterinary 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.