Yan Kuang
Impact in
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 4
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 4
- Co-authors
- Hong Xu (4 shared papers)Donglin Li (2 shared papers)Jing Cai (2 shared papers)Zhonghui He (1 shared paper)Fangfang Lu (4 shared papers)Jin Cao (1 shared paper)Han Qin (1 shared paper)Zehua Wang (1 shared paper)
- Journals
- Nature Communications (3 papers)Scientific Reports (3 papers)OncoTargets and Therapy (2 papers)Viruses (2 papers)Cell Reports (1 paper)
- Partner nations
- ChinaSouth SudanBelgium
In The Last Decade
Yan Kuang
28 papers receiving 375 citations
Peers
Comparison fields: 5 of 63
- Reproductive Medicine 71
- Cancer Research 116
- Obstetrics and Gynecology 29
- Aging 7
- Molecular Biology 181
Countries citing papers authored by Yan Kuang
This map shows the geographic impact of Yan Kuang'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 Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Kuang more than expected).
Fields of papers citing papers by Yan Kuang
This network shows the impact of papers produced by Yan Kuang. 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 Kuang. The network helps show where Yan Kuang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Kuang, 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 | 2022 | 48 | |
| 2 | 2014 | 45 | |
| 3 | 2013 | 40 | |
| 4 | 2017 | 36 | |
| 5 | 2017 | 35 | |
| 6 | Systematic enrichment analysis of microRNA expression profiling studies in endometriosis. | 2015 | 21 |
| 7 | 2018 | 19 | |
| 8 | 2016 | 17 | |
| 9 | 2017 | 17 | |
| 10 | 2016 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2015 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2019 | 4 |
About Yan Kuang
Yan Kuang is a scholar working on Molecular Biology, Cancer Research, Reproductive Medicine, Epidemiology and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 383 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (4 papers), Herpesvirus Infections and Treatments (3 papers), RNA modifications and cancer (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Epigenetics and DNA Methylation (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Reproductive Medicine (71 citations), Cancer Research (116 citations), Obstetrics and Gynecology (29 citations), Aging (7 citations) and Molecular Biology (181 citations). Yan Kuang has collaborated with scholars based in China, South Sudan and Belgium. Frequent co-authors include Hong Xu, Donglin Li, Jing Cai, Zhonghui He, Fangfang Lu, Jin Cao, Han Qin, Zehua Wang, Jianfeng Guo and Chen Sabrina Tan. Their work appears in journals such as Nature Communications, Scientific Reports, OncoTargets and Therapy, Viruses and Cell Reports.
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.