Ping Yan
Impact in
- Agronomy and Crop Science top 2%
- Ruminant Nutrition and Digestive Physiology
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
Papers in
-
- Genomics and Phylogenetic Studies 34
- Genetics 93
- Genetic and phenotypic traits in livestock 49
- Genetic diversity and population structure 21
- Genomic variations and chromosomal abnormalities 12
- Co-authors
- Xian Guo (124 shared papers)Min Chu (103 shared papers)Pengjia Bao (115 shared papers)Chunnian Liang (102 shared papers)Jie Pei (78 shared papers)Xuezhi Ding (59 shared papers)Xiaoyun Wu (63 shared papers)Lin Xiong (47 shared papers)
- Journals
- Animals (25 papers)Frontiers in Veterinary Science (7 papers)BMC Genomics (6 papers)International Journal of Molecular Sciences (6 papers)Foods (6 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Ping Yan
221 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 130
- Agronomy and Crop Science 301
- Animal Science and Zoology 269
- Genetics 704
- Cancer Research 336
- Microbiology 112
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 229 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 117 | |
| 2 | 2021 | 110 | |
| 3 | 2015 | 106 | |
| 4 | 2020 | 103 | |
| 5 | 2017 | 86 | |
| 6 | 2021 | 56 | |
| 7 | 2021 | 54 | |
| 8 | 2015 | 49 | |
| 9 | 2011 | 48 | |
| 10 | 2014 | 48 | |
| 11 | 2012 | 41 | |
| 12 | 2016 | 40 | |
| 13 | 2015 | 37 | |
| 14 | 2014 | 33 | |
| 15 | 2017 | 31 | |
| 16 | 2018 | 31 | |
| 17 | 2023 | 29 | |
| 18 | 2021 | 29 | |
| 19 | 2020 | 27 | |
| 20 | 2011 | 27 |
About Ping Yan
Ping Yan is a scholar working on Molecular Biology, Genetics, Cancer Research, Animal Science and Zoology and Agronomy and Crop Science, having authored 229 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (49 papers), Genomics and Phylogenetic Studies (34 papers), Cancer-related molecular mechanisms research (30 papers), Genetic diversity and population structure (21 papers), Meat and Animal Product Quality (17 papers), Sperm and Testicular Function (15 papers), Genomic variations and chromosomal abnormalities (12 papers) and Ruminant Nutrition and Digestive Physiology (11 papers). The work is most often cited by research in Agronomy and Crop Science (301 citations), Animal Science and Zoology (269 citations), Genetics (704 citations), Cancer Research (336 citations) and Microbiology (112 citations). Ping Yan has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Xian Guo, Min Chu, Pengjia Bao, Chunnian Liang, Jie Pei, Xuezhi Ding, Xiaoyun Wu, Lin Xiong, Xiaoyun Wu and Amanda G. Paulovich. Their work appears in journals such as Animals, Frontiers in Veterinary Science, BMC Genomics, International Journal of Molecular Sciences and Foods.
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.