Hao Yan
Impact in
- Reproductive Medicine top 10%
- Ovarian function and disorders
Papers in
-
- RNA modifications and cancer 5
- Advanced biosensing and bioanalysis techniques 4
- DNA and Nucleic Acid Chemistry 4
- RNA Interference and Gene Delivery 3
- TGF-β signaling in diseases 3
-
- Reproductive Biology and Fertility 8
- Co-authors
- Ke‐wei Zheng (2 shared papers)Zhiliang Tan (2 shared papers)Q. Wang (2 shared papers)Zheng Tan (2 shared papers)Chao Wang (9 shared papers)Zhuo Chen (1 shared paper)Guoliang Xia (9 shared papers)Chuan‐Feng Chen (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Journal of Agricultural and Food Chemistry (2 papers)BMC Biology (2 papers)The International Journal of Advanced Manufacturing Technology (1 paper)Cell Biology International (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hao Yan
44 papers receiving 785 citations
Peers
Comparison fields: 5 of 94
- Reproductive Medicine 84
- Aging 13
- Molecular Biology 494
- Public Health, Environmental and Occupational Health 162
- Pharmacology 92
Countries citing papers authored by Hao Yan
This map shows the geographic impact of Hao 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 Hao Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yan more than expected).
Fields of papers citing papers by Hao Yan
This network shows the impact of papers produced by Hao 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 Hao Yan. The network helps show where Hao Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 116 | |
| 2 | 2014 | 81 | |
| 3 | 2007 | 75 | |
| 4 | 2013 | 56 | |
| 5 | 2018 | 53 | |
| 6 | 2019 | 41 | |
| 7 | 2019 | 41 | |
| 8 | 2007 | 31 | |
| 9 | 2019 | 29 | |
| 10 | 2013 | 22 | |
| 11 | 2019 | 20 | |
| 12 | 2012 | 19 | |
| 13 | 2017 | 18 | |
| 14 | 2015 | 18 | |
| 15 | 2019 | 18 | |
| 16 | 2014 | 18 | |
| 17 | 2015 | 15 | |
| 18 | 2023 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2021 | 12 |
About Hao Yan
Hao Yan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Oncology and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 796 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), RNA modifications and cancer (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Immune Cell Function and Interaction (3 papers), RNA Interference and Gene Delivery (3 papers), TGF-β signaling in diseases (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Reproductive Medicine (84 citations), Aging (13 citations), Molecular Biology (494 citations), Public Health, Environmental and Occupational Health (162 citations) and Pharmacology (92 citations). Hao Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ke‐wei Zheng, Zhiliang Tan, Q. Wang, Zheng Tan, Chao Wang, Zhuo Chen, Guoliang Xia, Chuan‐Feng Chen, Jun Liu and Hua Zhang. Their work appears in journals such as Nucleic Acids Research, Journal of Agricultural and Food Chemistry, BMC Biology, The International Journal of Advanced Manufacturing Technology and Cell Biology International.
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.