Zuojing Li
Impact in
- Pharmacology top 10%
- Plant-based Medicinal Research
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- Traditional Chinese Medicine Analysis
Papers in
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- Computational Drug Discovery Methods 9
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- Metabolomics and Mass Spectrometry Studies 4
- Co-authors
- Qing Li (9 shared papers)Kaishun Bi (6 shared papers)Wenjing Li (2 shared papers)BI Kai-shun (4 shared papers)Bo Hong (1 shared paper)Zhenyu Yang (1 shared paper)Fan‐hao Meng (3 shared papers)David R. Bickel (1 shared paper)
- Journals
- Medicinal Chemistry Research (3 papers)PLoS ONE (3 papers)Archives of Gynecology and Obstetrics (2 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)Journal of Chromatography A (2 papers)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Zuojing Li
30 papers receiving 269 citations
Peers
Comparison fields: 5 of 74
- Pharmacology 45
- Complementary and alternative medicine 28
- Obstetrics and Gynecology 20
- Computational Theory and Mathematics 30
- Molecular Biology 104
Countries citing papers authored by Zuojing Li
This map shows the geographic impact of Zuojing 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 Zuojing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuojing Li more than expected).
Fields of papers citing papers by Zuojing Li
This network shows the impact of papers produced by Zuojing 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 Zuojing Li. The network helps show where Zuojing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Zuojing 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 33 | |
| 2 | 2017 | 29 | |
| 3 | 2018 | 18 | |
| 4 | 2017 | 17 | |
| 5 | 2013 | 14 | |
| 6 | 2016 | 14 | |
| 7 | 2017 | 12 | |
| 8 | 2016 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2009 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2013 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2010 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2020 | 5 |
About Zuojing Li
Zuojing Li is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Complementary and alternative medicine and Pharmacology, having authored 32 papers that have together received 271 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Plant-based Medicinal Research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Gestational Diabetes Research and Management (3 papers), Traditional Chinese Medicine Analysis (3 papers), Advanced Causal Inference Techniques (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Pharmacology (45 citations), Complementary and alternative medicine (28 citations), Obstetrics and Gynecology (20 citations), Computational Theory and Mathematics (30 citations) and Molecular Biology (104 citations). Zuojing Li has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Qing Li, Kaishun Bi, Wenjing Li, BI Kai-shun, Bo Hong, Zhenyu Yang, Fan‐hao Meng, David R. Bickel, Huarong Xu and Xiaohui Lin. Their work appears in journals such as Medicinal Chemistry Research, PLoS ONE, Archives of Gynecology and Obstetrics, Journal of Pharmaceutical and Biomedical Analysis and Journal of Chromatography A.
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.