Yan Pu
Impact in
- Genetics top 10%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Genetic Associations and Epidemiology
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Gestational Diabetes Research and Management 2
-
- Psoriasis: Treatment and Pathogenesis 3
- IL-33, ST2, and ILC Pathways 2
- Co-authors
- Peng Chen (27 shared papers)Yaping Song (16 shared papers)Bin Zhou (17 shared papers)Feng Chen (9 shared papers)Weibo Liang (5 shared papers)Zheng Li (5 shared papers)Lin Zhang (8 shared papers)Yanyun Wang (9 shared papers)
- Journals
- Forensic Science International Genetics (4 papers)Forensic Science International (3 papers)Biomarkers (3 papers)Familial Cancer (3 papers)Tumor Biology (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Yan Pu
37 papers receiving 633 citations
Yan Pu's Hit Papers
Peers
Comparison fields: 5 of 81
- Genetics 202
- Cancer Research 82
- Molecular Biology 302
- Geriatrics and Gerontology 13
- Immunology 72
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 66 | |
| 2 | 2018 | 54 | |
| 3 | 2019 | 51 | |
| 4 | Worldwide rooftop photovoltaic electricity generation may mitigate global warming Hit paper breakdown → | 2025 | 50 |
| 5 | 2018 | 40 | |
| 6 | 2015 | 39 | |
| 7 | 2015 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2014 | 23 | |
| 10 | 2013 | 22 | |
| 11 | 2015 | 19 | |
| 12 | 2015 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2014 | 18 | |
| 15 | 2015 | 17 | |
| 16 | 2016 | 15 | |
| 17 | 2017 | 15 | |
| 18 | 2018 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2015 | 11 |
About Yan Pu
Yan Pu is a scholar working on Obstetrics and Gynecology, Immunology, Genetics, Molecular Biology and Cancer Research, having authored 42 papers that have together received 639 indexed citations. Recurring topics across this work include Forensic and Genetic Research (8 papers), Molecular Biology Techniques and Applications (7 papers), Cancer-related molecular mechanisms research (4 papers), Genetic diversity and population structure (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Environmental DNA in Biodiversity Studies (3 papers), Gestational Diabetes Research and Management (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Genetics (202 citations), Cancer Research (82 citations), Molecular Biology (302 citations), Geriatrics and Gerontology (13 citations) and Immunology (72 citations). Yan Pu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Peng Chen, Yaping Song, Bin Zhou, Feng Chen, Weibo Liang, Zheng Li, Lin Zhang, Yanyun Wang, Kui Zhang and Youjia Yu. Their work appears in journals such as Forensic Science International Genetics, Forensic Science International, Biomarkers, Familial Cancer 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.