Kun Li
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Behavioral Neuroscience top 5%
Papers in
-
- Extracellular vesicles in disease 9
- Heat shock proteins research 7
- Circular RNAs in diseases 5
-
- Sperm and Testicular Function 17
- Co-authors
- Xiao Li Zhu (7 shared papers)Xiang Ming Chen (7 shared papers)Inés Ibáñez-Tallon (1 shared paper)Nathaniel Heintz (1 shared paper)Miho Nakajima (1 shared paper)Xiao Qiang Liu (4 shared papers)Ya Ni (19 shared papers)Weiren Huang (1 shared paper)
- Journals
- Frontiers in Endocrinology (4 papers)Applied Physics Letters (3 papers)Andrologia (3 papers)Reproductive Biology and Endocrinology (3 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Li
126 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 149
- Reproductive Medicine 242
- Behavioral Neuroscience 74
- Cancer Research 184
- Biological Psychiatry 28
- Electronic, Optical and Magnetic Materials 181
Countries citing papers authored by Kun Li
This map shows the geographic impact of Kun Li'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 Kun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Li more than expected).
Fields of papers citing papers by Kun Li
This network shows the impact of papers produced by Kun Li. 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 Kun Li. The network helps show where Kun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Li, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 176 | |
| 2 | 2014 | 86 | |
| 3 | 2020 | 84 | |
| 4 | 2009 | 69 | |
| 5 | 2018 | 66 | |
| 6 | 2014 | 56 | |
| 7 | 2010 | 56 | |
| 8 | 2013 | 52 | |
| 9 | 2009 | 50 | |
| 10 | 2018 | 50 | |
| 11 | 2019 | 46 | |
| 12 | 2012 | 43 | |
| 13 | 2012 | 42 | |
| 14 | 2021 | 40 | |
| 15 | 2020 | 38 | |
| 16 | 2020 | 38 | |
| 17 | 2018 | 38 | |
| 18 | 2024 | 36 | |
| 19 | 2013 | 30 | |
| 20 | 2017 | 30 |
About Kun Li
Kun Li is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Cancer Research and Pulmonary and Respiratory Medicine, having authored 138 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sperm and Testicular Function (17 papers), Reproductive Biology and Fertility (11 papers), Extracellular vesicles in disease (9 papers), Ferroelectric and Piezoelectric Materials (7 papers), MicroRNA in disease regulation (7 papers), Heat shock proteins research (7 papers), Microwave Dielectric Ceramics Synthesis (5 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Reproductive Medicine (242 citations), Behavioral Neuroscience (74 citations), Cancer Research (184 citations), Biological Psychiatry (28 citations) and Electronic, Optical and Magnetic Materials (181 citations). Kun Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao Li Zhu, Xiang Ming Chen, Inés Ibáñez-Tallon, Nathaniel Heintz, Miho Nakajima, Xiao Qiang Liu, Ya Ni, Weiren Huang, Ziqiang Wang and Patricia A. Martin‐DeLeon. Their work appears in journals such as Frontiers in Endocrinology, Applied Physics Letters, Andrologia, Reproductive Biology and Endocrinology and PLoS ONE.
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.