Lang Li

308 papers receiving 11.3k citations

Lang Li's Hit Papers

Target identification among known drugs by deep learning from heterogeneous networks 2020 · 286 citations
2860+7+14Years since publication250500750

Peers

Lang Li
Comparison fields: 5 of 139
  • Pharmacology 1.6k
  • Toxicology 200
  • Cancer Research 610
  • Computational Theory and Mathematics 750
  • Oncology 960
Replace Henk‐Jan Guchelaar with:
Henk‐Jan Guchelaar Netherlands
Julia Stingl Germany
Kathleen M. Giacomini United States
Michelle Whirl‐Carrillo United States
David James Harrison United Kingdom
Ming‐Feng Hou Taiwan
Li Gong United States
Michael Joseph Sorich Australia
Ellen M. McDonagh United Kingdom
Liewei Wang United States
Lang Li relative to Henk‐Jan Guchelaar Netherlands Henk‐Jan Guchelaar's profile →
Citations per field
00.5×2×4×6.2×
Henk‐Jan Guchelaar · 1×
Citations per year

Countries citing papers authored by Lang Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lang Li Line = papers co-authored together Lang Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 320 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CYP2D6 Genotype, Antidepressant Use, and Tamoxifen Metabolism During Adjuvant Breast Cancer Treatment
Hit paper breakdown →
2005768
2 2012321
3
Target identification among known drugs by deep learning from heterogeneous networks
Hit paper breakdown →
2020286
4
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Hit paper breakdown →
2019263
5 2004246
6 2015209
7 2006205
8 2007200
9 2007196
10 2021184
11 2003176
12 2004173
13 2010167
14 2015164
15 2010148
16 1998144
17 2004136
18 2006133
19 2021132
20 2015125

About Lang Li

Lang Li is a scholar working on Pharmacology, Toxicology, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 320 papers that have together received 11.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (38 papers), Pharmacovigilance and Adverse Drug Reactions (22 papers), Biomedical Text Mining and Ontologies (16 papers), Prostate Cancer Treatment and Research (15 papers), Computational Drug Discovery Methods (12 papers), Bioinformatics and Genomic Networks (6 papers), Cancer Treatment and Pharmacology (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Pharmacology (1.6k citations), Toxicology (200 citations), Cancer Research (610 citations), Computational Theory and Mathematics (750 citations) and Oncology (960 citations). Lang Li has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include David Alastair Flockhart, Zeruesenay Desta, Todd C. Skaar, Anne Nguyen, Stephen David Hall, Daniel F. Hayes, Vered Stearns, Anna Maria Storniolo, Suzanne M. Lemler and Lijun Cheng. Their work appears in journals such as Clinical Pharmacology & Therapeutics, CPT Pharmacometrics & Systems Pharmacology, Clinical Cancer Research, Breast Cancer Research and Treatment and PLoS ONE.

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.

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