Yan Kuang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
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- RNA Research and Splicing 4
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 3
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Donglin Li (2 shared papers)Jing Cai (2 shared papers)Fangfang Lu (5 shared papers)Zhonghui He (1 shared paper)Zehua Wang (1 shared paper)Jin Cao (1 shared paper)Han Qin (1 shared paper)Jianfeng Guo (1 shared paper)
- Journals
- Scientific Reports (3 papers)Nature Communications (3 papers)OncoTargets and Therapy (2 papers)Viruses (2 papers)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Africa
In The Last Decade
Yan Kuang
30 papers receiving 419 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 142
- Reproductive Medicine 76
- Obstetrics and Gynecology 52
- Otorhinolaryngology 23
- Molecular Biology 225
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 45 | |
| 2 | 2022 | 44 | |
| 3 | 2013 | 40 | |
| 4 | 2017 | 38 | |
| 5 | 2017 | 36 | |
| 6 | 2017 | 35 | |
| 7 | 2020 | 21 | |
| 8 | Systematic enrichment analysis of microRNA expression profiling studies in endometriosis. | 2015 | 21 |
| 9 | 2018 | 19 | |
| 10 | 2017 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 2016 | 15 | |
| 13 | 2015 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2023 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2024 | 4 |
About Yan Kuang
Yan Kuang is a scholar working on Molecular Biology, Cancer Research, Surgery, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 427 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), RNA Research and Splicing (4 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Healthcare professionals’ stress and burnout (2 papers). The work is most often cited by research in Cancer Research (142 citations), Reproductive Medicine (76 citations), Obstetrics and Gynecology (52 citations), Otorhinolaryngology (23 citations) and Molecular Biology (225 citations). Yan Kuang has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Donglin Li, Jing Cai, Fangfang Lu, Zhonghui He, Zehua Wang, Jin Cao, Han Qin, Jianfeng Guo, Xianghe Qiao and Jin Cao. Their work appears in journals such as Scientific Reports, Nature Communications, OncoTargets and Therapy, Viruses and Frontiers in Immunology.
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.