Kai Meng
Impact in
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
- Psoriasis: Treatment and Pathogenesis
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
Papers in
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- Sperm and Testicular Function 5
- Immunology 10
- Atherosclerosis and Cardiovascular Diseases 9
- Co-authors
- Yudong Peng (8 shared papers)Ruirui Zhu (7 shared papers)Longxian Cheng (4 shared papers)Hongquan Guan (3 shared papers)Qiutang Zeng (3 shared papers)Boyuan Wang (2 shared papers)Kunwu Yu (12 shared papers)Kai Huang (1 shared paper)
In The Last Decade
Kai Meng
66 papers receiving 1.7k citations
Kai Meng's Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 366
- Infectious Diseases 306
- Cancer Research 179
- Reproductive Medicine 74
- Neurology 129
Countries citing papers authored by Kai Meng
This map shows the geographic impact of Kai Meng'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 Kai Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Meng more than expected).
Fields of papers citing papers by Kai Meng
This network shows the impact of papers produced by Kai Meng. 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 Kai Meng. The network helps show where Kai Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Meng, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 364 | |
| 2 | 2014 | 107 | |
| 3 | 2015 | 98 | |
| 4 | 2014 | 93 | |
| 5 | 2015 | 72 | |
| 6 | 2015 | 71 | |
| 7 | 2017 | 59 | |
| 8 | 2017 | 55 | |
| 9 | 2016 | 51 | |
| 10 | 2019 | 50 | |
| 11 | 2012 | 41 | |
| 12 | 2015 | 41 | |
| 13 | Mitochondrial Dysfunction in Neurodegenerative Diseases: Mechanisms and Corresponding Therapeutic Strategies Hit paper breakdown → | 2025 | 40 |
| 14 | 2020 | 37 | |
| 15 | 2013 | 35 | |
| 16 | 2018 | 35 | |
| 17 | 2016 | 34 | |
| 18 | 2013 | 34 | |
| 19 | 2020 | 32 | |
| 20 | 2015 | 28 |
About Kai Meng
Kai Meng is a scholar working on Reproductive Medicine, Immunology, Public Health, Environmental and Occupational Health, Cancer Research and Molecular Biology, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (10 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), Sperm and Testicular Function (5 papers), Renal and related cancers (5 papers), Cancer-related molecular mechanisms research (4 papers), Rock Mechanics and Modeling (3 papers), Dermatology and Skin Diseases (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Immunology (366 citations), Infectious Diseases (306 citations), Cancer Research (179 citations), Reproductive Medicine (74 citations) and Neurology (129 citations). Kai Meng has collaborated with scholars based in China, Hong Kong and Tunisia. Frequent co-authors include Yudong Peng, Ruirui Zhu, Longxian Cheng, Hongquan Guan, Qiutang Zeng, Boyuan Wang, Kunwu Yu, Kai Huang, Bangwei Wu and Yucheng Zhong. Their work appears in journals such as Journal of the American Heart Association, Cellular Physiology and Biochemistry, PLoS ONE, International Journal of Biological Macromolecules and Biology of Reproduction.
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.