Zheng Li
- Molecular Biology top 1%
- Cancer Research top 0.2%
- Surgery top 5%
- Pathology and Forensic Medicine top 2%
- Epidemiology top 10%
- Co-authors
- William Ka Kei WuMatthew T.V. ChanXin YuJianxiong ShenShugang LiJinqian LiangDavid M. OjciusJohn Ding‐E Young
- Topics
- Cancer-related molecular mechanisms research (61 papers)MicroRNA in disease regulation (44 papers)Circular RNAs in diseases (35 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zheng Li
261 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 4.2k
- Cancer Research 3.2k
- Surgery 913
- Pathology and Forensic Medicine 625
- Epidemiology 446
Countries citing papers authored by Zheng Li
This map shows the geographic impact of Zheng 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 Zheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng Li more than expected).
Fields of papers citing papers by Zheng Li
This network shows the impact of papers produced by Zheng 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 Zheng Li. The network helps show where Zheng Li may publish in the future.
Co-authorship network of co-authors of Zheng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Li. A scholar is included among the top collaborators of Zheng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zheng Li. Zheng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 93 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 28 | |
| 14 | 4 | |
| 15 | 33 | |
| 16 | 57 | |
| 17 | 20 | |
| 18 | [Study on the prevalence and associated risk factors related to HIV, syphilis, herpes simplex virus-2 among female sex workers in Jiaozhou, Shandong province]. | 1 |
| 19 | [A study on syphilis and HSV-2 infection and related behaviors among female sex workers who take new types of drugs in Jiaozhou city]. | 3 |
| 20 | [Distributive characteristics and sources of exposure of human infections with avian influenza A (HN7N9) virus in Hangzhou, Zhejiang province]. | 2 |
About Zheng Li
Zheng Li is a scholar working on Cancer Research, Endocrine and Autonomic Systems and Equine, having authored 277 papers that have together received 7.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (61 papers), MicroRNA in disease regulation (44 papers) and Circular RNAs in diseases (35 papers). The work is most often cited by research in Cancer Research (3.2k citations), Molecular Biology (4.2k citations) and Pathology and Forensic Medicine (625 citations). Zheng Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include William Ka Kei Wu, Matthew T.V. Chan, Xin Yu, Xin Yu, Jianxiong Shen, Jianxiong Shen, Shugang Li, Jinqian Liang, David M. Ojcius and John Ding‐E Young. Their work appears in journals such as Cell, Nature Communications and Journal of Clinical Oncology.
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.