Hua Yan
Impact in
-
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Reproductive Medicine top 10%
Papers in
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- Renal and related cancers 2
- Ubiquitin and proteasome pathways 1
- Pluripotent Stem Cells Research 1
- Surgery 4
- Coronary Interventions and Diagnostics 2
- Co-authors
- Yue Qin (1 shared paper)Fan Jiang (1 shared paper)Haiyan Lou (1 shared paper)Guoqing Tong (2 shared papers)Xinbing Wei (1 shared paper)Yong Zhao (1 shared paper)Jia‐Bao Liu (1 shared paper)Ying Guo (1 shared paper)
- Journals
- Frontiers in Genetics (1 paper)Frontiers in Pharmacology (1 paper)Current Molecular Medicine (1 paper)Reproductive Sciences (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hua Yan
16 papers receiving 267 citations
Peers
Comparison fields: 5 of 59
- Neurology 56
- Reproductive Medicine 41
- Immunology 42
- Public Health, Environmental and Occupational Health 51
- Obstetrics and Gynecology 11
Countries citing papers authored by Hua Yan
This map shows the geographic impact of Hua 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 Hua Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Yan more than expected).
Fields of papers citing papers by Hua Yan
This network shows the impact of papers produced by Hua 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 Hua Yan. The network helps show where Hua Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2019 | 39 | |
| 3 | 2021 | 32 | |
| 4 | 2018 | 29 | |
| 5 | 2020 | 19 | |
| 6 | 2021 | 13 | |
| 7 | 2011 | 13 | |
| 8 | 2011 | 10 | |
| 9 | 2017 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2023 | 3 | |
| 16 | Genetic Polymorphism of Six Genetic Loci and Their Correlation with Reproductive Traits | 2009 | 1 |
About Hua Yan
Hua Yan is a scholar working on Molecular Biology, Surgery, Public Health, Environmental and Occupational Health, Immunology and Reproductive Medicine, having authored 16 papers that have together received 269 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (3 papers), Coronary Interventions and Diagnostics (2 papers), Renal and related cancers (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Endometriosis Research and Treatment (1 paper), Ubiquitin and proteasome pathways (1 paper), Ovarian function and disorders (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Neurology (56 citations), Reproductive Medicine (41 citations), Immunology (42 citations), Public Health, Environmental and Occupational Health (51 citations) and Obstetrics and Gynecology (11 citations). Hua Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yue Qin, Fan Jiang, Haiyan Lou, Guoqing Tong, Xinbing Wei, Yong Zhao, Jia‐Bao Liu, Ying Guo, Chi Liu and Yang Liu. Their work appears in journals such as Frontiers in Genetics, Frontiers in Pharmacology, Current Molecular Medicine, Reproductive Sciences and The FASEB Journal.
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.