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 20
- Pharmacogenetics and Drug Metabolism 20
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- Biomedical Text Mining and Ontologies 16
- Gene expression and cancer classification 12
- Genomics and Chromatin Dynamics 10
- Co-authors
- David Alastair Flockhart (29 shared papers)John N. Eble (7 shared papers)Stephen David 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)Anne Nguyen (12 shared papers)
- Journals
- Breast Cancer Research and Treatment (8 papers)BMC Genomics (8 papers)Clinical Cancer Research (7 papers)PLoS ONE (6 papers)Journal of Biopharmaceutical Statistics (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lang Li
157 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 161
- Pharmacology 618
- Oncology 1.3k
- Cancer Research 520
- Toxicology 105
- Family Practice 54
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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 321 | |
| 2 | 2004 | 244 | |
| 3 | 2015 | 208 | |
| 4 | 2007 | 194 | |
| 5 | 2003 | 178 | |
| 6 | 2004 | 173 | |
| 7 | 2010 | 168 | |
| 8 | 2015 | 162 | |
| 9 | 2010 | 148 | |
| 10 | 2006 | 132 | |
| 11 | 2015 | 125 | |
| 12 | 2006 | 118 | |
| 13 | 2010 | 112 | |
| 14 | 2006 | 111 | |
| 15 | 2012 | 109 | |
| 16 | 2003 | 106 | |
| 17 | 2007 | 106 | |
| 18 | 2007 | 105 | |
| 19 | 2006 | 95 | |
| 20 | 2003 | 87 |
About Lang Li
Lang Li is a scholar working on Pharmacology, Molecular Biology, Oncology, Computational Theory and Mathematics and Statistics and Probability, having authored 159 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (20 papers), Computational Drug Discovery Methods (18 papers), Biomedical Text Mining and Ontologies (16 papers), Gene expression and cancer classification (12 papers), Estrogen and related hormone effects (10 papers), Genomics and Chromatin Dynamics (10 papers), Statistical Methods in Clinical Trials (10 papers) and Cancer Treatment and Pharmacology (8 papers). The work is most often cited by research in Pharmacology (618 citations), Oncology (1.3k citations), Cancer Research (520 citations), Toxicology (105 citations) and Family Practice (54 citations). Lang Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include David Alastair Flockhart, John N. Eble, Stephen David Hall, Liang Cheng, Michael O. Koch, Zeruesenay Desta, Todd C. Skaar, Anne Nguyen, Thomas M. Ulbright and Anna Maria Storniolo. Their work appears in journals such as Breast Cancer Research and Treatment, BMC Genomics, 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.