Siming Li
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Catalysis top 10%
- Catalysts for Methane Reforming
Papers in
-
- Traditional Chinese Medicine Analysis 5
- Traditional Chinese Medicine Studies 3
-
- Lipid metabolism and disorders 2
- Co-authors
- Jiandie D. Lin (4 shared papers)Qi Yu (1 shared paper)Guo-Xiao Wang (1 shared paper)Xu-Yun Zhao (1 shared paper)Hao Xu (3 shared papers)Keji Chen (4 shared papers)Shengping Wang (1 shared paper)Xinbin Ma (1 shared paper)
- Journals
- Chinese Journal of Integrative Medicine (2 papers)JHEP Reports (1 paper)Cell Metabolism (1 paper)Frontiers in Immunology (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Siming Li
14 papers receiving 644 citations
Peers
Comparison fields: 5 of 111
- Cancer Research 188
- Catalysis 82
- Complementary and alternative medicine 50
- Process Chemistry and Technology 14
- Health Informatics 6
Countries citing papers authored by Siming Li
This map shows the geographic impact of Siming 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 Siming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siming Li more than expected).
Fields of papers citing papers by Siming Li
This network shows the impact of papers produced by Siming 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 Siming Li. The network helps show where Siming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Siming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 200 | |
| 2 | 2021 | 165 | |
| 3 | 2016 | 125 | |
| 4 | 2022 | 67 | |
| 5 | 2014 | 44 | |
| 6 | 2018 | 17 | |
| 7 | 2013 | 14 | |
| 8 | 2025 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2014 | 2 | |
| 11 | [Integrative medicine on coronary heart disease: annual academic review 2013]. | 2014 | 2 |
| 12 | 2018 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2015 | 1 |
About Siming Li
Siming Li is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Immunology, Epidemiology and Cancer Research, having authored 14 papers that have together received 647 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (5 papers), Traditional Chinese Medicine Studies (3 papers), Cancer-related molecular mechanisms research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Lipid metabolism and disorders (2 papers), Immune cells in cancer (2 papers), Phagocytosis and Immune Regulation (1 paper) and Healthcare and Venom Research (1 paper). The work is most often cited by research in Cancer Research (188 citations), Catalysis (82 citations), Complementary and alternative medicine (50 citations), Process Chemistry and Technology (14 citations) and Health Informatics (6 citations). Siming Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jiandie D. Lin, Qi Yu, Guo-Xiao Wang, Xu-Yun Zhao, Hao Xu, Keji Chen, Shengping Wang, Xinbin Ma, Jian Zhang and Yujun Zhao. Their work appears in journals such as Chinese Journal of Integrative Medicine, JHEP Reports, Cell Metabolism, Frontiers in Immunology 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.