Lang Li
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Oncology top 2%
- Cancer Treatment and Pharmacology
- Drug Transport and Resistance Mechanisms
Papers in ⓘ
- Pharmacology 26
- Pharmacogenetics and Drug Metabolism 26
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- Computational Drug Discovery Methods 25
- Co-authors
- David A. Flockhart (28 shared papers)John N. Eble (7 shared papers)Stephen D. Hall (13 shared papers)Liang Cheng (6 shared papers)Michael O. Koch (7 shared papers)Zeruesenay Desta (14 shared papers)Todd C. Skaar (24 shared papers)Thomas M. Ulbright (4 shared papers)
- Journals
- BMC Genomics (9 papers)Breast Cancer Research and Treatment (8 papers)Clinical Cancer Research (6 papers)PLoS ONE (6 papers)Journal of Biopharmaceutical Statistics (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lang Li
154 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 165
- Pharmacology 642
- Oncology 1.4k
- Cancer Research 622
- Toxicology 113
- Family Practice 67
Countries citing papers authored by Lang Li
This map shows the geographic impact of Lang 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 Lang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang Li more than expected).
Fields of papers citing papers by Lang Li
This network shows the impact of papers produced by Lang 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 Lang Li. The network helps show where Lang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 284 | |
| 2 | 2004 | 226 | |
| 3 | 2007 | 183 | |
| 4 | 2015 | 176 | |
| 5 | 2003 | 172 | |
| 6 | 2004 | 159 | |
| 7 | 2015 | 152 | |
| 8 | 2010 | 145 | |
| 9 | 2010 | 139 | |
| 10 | 2006 | 118 | |
| 11 | 2006 | 113 | |
| 12 | 2012 | 103 | |
| 13 | 2007 | 100 | |
| 14 | 2003 | 100 | |
| 15 | 2010 | 97 | |
| 16 | 2006 | 97 | |
| 17 | 2007 | 96 | |
| 18 | 2006 | 87 | |
| 19 | 2003 | 84 | |
| 20 | 2004 | 80 |
About Lang Li
Lang Li is a scholar working on Pharmacology, Computational Theory and Mathematics, Statistics and Probability, Oncology and Molecular Biology, having authored 158 papers that have together received 5.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (26 papers), Computational Drug Discovery Methods (25 papers), Estrogen and related hormone effects (18 papers), Biomedical Text Mining and Ontologies (18 papers), Gene expression and cancer classification (16 papers), Genomics and Chromatin Dynamics (14 papers), Cancer Treatment and Pharmacology (13 papers) and Epigenetics and DNA Methylation (11 papers). The work is most often cited by research in Pharmacology (642 citations), Oncology (1.4k citations), Cancer Research (622 citations), Toxicology (113 citations) and Family Practice (67 citations). Lang Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include David A. Flockhart, John N. Eble, Stephen D. Hall, Liang Cheng, Michael O. Koch, Zeruesenay Desta, Todd C. Skaar, Thomas M. Ulbright, Anne Nguyen and Anna Maria Storniolo. Their work appears in journals such as BMC Genomics, Breast Cancer Research and Treatment, Clinical Cancer Research, PLoS ONE and Journal of Biopharmaceutical Statistics.
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.