Ping Yi
Impact in
- Genetics top 2%
- Estrogen and related hormone effects
- Cancer Research top 5%
Papers in
-
- Ubiquitin and proteasome pathways 4
- Cancer-related gene regulation 4
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 4
- Genetics 17
- Estrogen and related hormone effects 14
- Co-authors
- Bert W. O’Malley (17 shared papers)Marta Pogribna (2 shared papers)R. Jean Hine (1 shared paper)Stepan Melnyk (2 shared papers)Igor P. Pogribny (2 shared papers)S. Jill James (1 shared paper)Ming‐Jer Tsai (6 shared papers)Sophia Y. Tsai (6 shared papers)
- Journals
- Molecular Cell (7 papers)Molecular and Cellular Endocrinology (3 papers)Molecular and Cellular Biology (3 papers)Journal of Applied Polymer Science (3 papers)Chemical Research in Toxicology (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ping Yi
69 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 131
- Genetics 866
- Cancer Research 375
- Rheumatology 373
- Molecular Biology 1.7k
- Oncology 458
Countries citing papers authored by Ping Yi
This map shows the geographic impact of Ping Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Yi more than expected).
Fields of papers citing papers by Ping Yi
This network shows the impact of papers produced by Ping Yi. 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 Yi. The network helps show where Ping Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Yi, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 549 | |
| 2 | 2004 | 261 | |
| 3 | 2018 | 199 | |
| 4 | 2015 | 140 | |
| 5 | 2006 | 135 | |
| 6 | 2004 | 123 | |
| 7 | 2022 | 122 | |
| 8 | 2020 | 117 | |
| 9 | 2010 | 116 | |
| 10 | 2002 | 85 | |
| 11 | 2017 | 80 | |
| 12 | 2005 | 78 | |
| 13 | 2008 | 70 | |
| 14 | 2018 | 70 | |
| 15 | 2002 | 66 | |
| 16 | 2010 | 62 | |
| 17 | Mapping fertility-restoring genes of rice WA cytoplasmic male sterility using SSLP markers | 2001 | 51 |
| 18 | 2023 | 51 | |
| 19 | 1997 | 47 | |
| 20 | 2022 | 46 |
About Ping Yi
Ping Yi is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Plant Science, having authored 72 papers that have together received 3.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Cytokine Signaling Pathways and Interactions (4 papers), Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (4 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (4 papers) and Polysaccharides and Plant Cell Walls (3 papers). The work is most often cited by research in Genetics (866 citations), Cancer Research (375 citations), Rheumatology (373 citations), Molecular Biology (1.7k citations) and Oncology (458 citations). Ping Yi has collaborated with scholars based in China, United States and France. Frequent co-authors include Bert W. O’Malley, Marta Pogribna, R. Jean Hine, Stepan Melnyk, Igor P. Pogribny, S. Jill James, Ming‐Jer Tsai, Sophia Y. Tsai, Jiemin Wong and Qin Fu Feng. Their work appears in journals such as Molecular Cell, Molecular and Cellular Endocrinology, Molecular and Cellular Biology, Journal of Applied Polymer Science and Chemical Research in Toxicology.
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.