Yan Pu
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Forensic and Genetic Research
- Genetic diversity and population structure
- Genetic Associations and Epidemiology
Papers in ⓘ
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- Pregnancy and preeclampsia studies 3
- Co-authors
- Peng Chen (28 shared papers)Yaping Song (16 shared papers)Bin Zhou (17 shared papers)Feng Chen (9 shared papers)Zheng Li (5 shared papers)Lin Zhang (8 shared papers)Weibo Liang (5 shared papers)Yanyun Wang (9 shared papers)
- Journals
- Forensic Science International Genetics (4 papers)Biomarkers (3 papers)Familial Cancer (3 papers)Forensic Science International (3 papers)Tumor Biology (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Yan Pu
32 papers receiving 463 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 91
- Genetics 167
- Geriatrics and Gerontology 15
- Immunology 80
- Molecular Biology 257
Countries citing papers authored by Yan Pu
This map shows the geographic impact of Yan Pu'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 Yan Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Pu more than expected).
Fields of papers citing papers by Yan Pu
This network shows the impact of papers produced by Yan Pu. 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 Yan Pu. The network helps show where Yan Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Pu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2019 | 45 | |
| 3 | 2015 | 37 | |
| 4 | 2018 | 35 | |
| 5 | 2014 | 23 | |
| 6 | 2013 | 22 | |
| 7 | 2015 | 21 | |
| 8 | 2015 | 19 | |
| 9 | 2014 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2014 | 16 | |
| 12 | 2015 | 15 | |
| 13 | 2015 | 15 | |
| 14 | 2016 | 15 | |
| 15 | 2017 | 14 | |
| 16 | 2019 | 12 | |
| 17 | 2015 | 11 | |
| 18 | 2016 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2017 | 9 |
About Yan Pu
Yan Pu is a scholar working on Obstetrics and Gynecology, Applied Microbiology and Biotechnology, Immunology, Oncology and Genetics, having authored 34 papers that have together received 467 indexed citations. Recurring topics across this work include Forensic and Genetic Research (8 papers), Molecular Biology Techniques and Applications (7 papers), Cytokine Signaling Pathways and Interactions (4 papers), Reproductive System and Pregnancy (4 papers), Genetic diversity and population structure (3 papers), Cancer-related molecular mechanisms research (3 papers), Pregnancy and preeclampsia studies (3 papers) and Pregnancy-related medical research (3 papers). The work is most often cited by research in Cancer Research (91 citations), Genetics (167 citations), Geriatrics and Gerontology (15 citations), Immunology (80 citations) and Molecular Biology (257 citations). Yan Pu has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Peng Chen, Yaping Song, Bin Zhou, Feng Chen, Zheng Li, Lin Zhang, Weibo Liang, Yanyun Wang, Kui Zhang and Youjia Yu. Their work appears in journals such as Forensic Science International Genetics, Biomarkers, Familial Cancer, Forensic Science International and Tumor Biology.
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.