Ping Yan
Impact in
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Cancer-related molecular mechanisms research 16
- MicroRNA in disease regulation 6
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- RNA modifications and cancer 6
- Circular RNAs in diseases 6
- Gut microbiota and health 5
- RNA Research and Splicing 4
- Co-authors
- Xian Guo (27 shared papers)Chunnian Liang (28 shared papers)Pengjia Bao (22 shared papers)Min Kyung Chu (9 shared papers)Jan Xu (1 shared paper)Chung Y. Hsu (1 shared paper)Jinming Xu (1 shared paper)Sheng‐Kwei Song (1 shared paper)
- Journals
- Animals (6 papers)BMC Genomics (6 papers)Frontiers in Microbiology (4 papers)Frontiers in Veterinary Science (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaKenyaUnited States
In The Last Decade
Ping Yan
64 papers receiving 836 citations
Peers
Comparison fields: 5 of 129
- Agronomy and Crop Science 105
- Cancer Research 108
- Urology 29
- Pathology and Forensic Medicine 77
- Animal Science and Zoology 46
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 118 | |
| 2 | 2021 | 87 | |
| 3 | 2015 | 49 | |
| 4 | 2017 | 46 | |
| 5 | 2021 | 41 | |
| 6 | 2021 | 34 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2018 | 25 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 21 | |
| 12 | 2023 | 18 | |
| 13 | 2022 | 18 | |
| 14 | 2018 | 17 | |
| 15 | 2017 | 17 | |
| 16 | 2022 | 17 | |
| 17 | 2023 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2020 | 13 |
About Ping Yan
Ping Yan is a scholar working on Cancer Research, Molecular Biology, Agronomy and Crop Science, Urology and Immunology, having authored 67 papers that have together received 848 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (6 papers), Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Gut microbiota and health (5 papers), Genetic and phenotypic traits in livestock (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Agronomy and Crop Science (105 citations), Cancer Research (108 citations), Urology (29 citations), Pathology and Forensic Medicine (77 citations) and Animal Science and Zoology (46 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 Kyung Chu, Jan Xu, Chung Y. Hsu, Jinming Xu, Sheng‐Kwei Song, Grace Ku and Xiao‐Ming Xu. Their work appears in journals such as Animals, BMC Genomics, Frontiers in Microbiology, Frontiers in Veterinary Science and Frontiers in Genetics.
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.