Lang Li

4.1k citations
114 papers · 2.2k indexed · 1 hit paper · h-index 23
Topics
Computational Drug Discovery Methods (31 papers)Pharmacovigilance and Adverse Drug Reactions (23 papers)Bioinformatics and Genomic Networks (18 papers)
Partner nations
United StatesChinaIsrael

In The Last Decade

Lang Li

103 papers receiving 2.2k citations

Hit Papers

Target identification among known drugs by deep learning ...2020202620222024202050100150200250

Peers

Lang Li
Comparison fields: 5 of 139
  • Molecular Biology 1.2k
  • Computational Theory and Mathematics 521
  • Oncology 390
  • Cancer Research 384
  • Pulmonary and Respiratory Medicine 249
Replace Stephan C. Schürer with:
Stephan C. Schürer United States
Sivanesan Dakshanamurthy United States
Anna Bauer‐Mehren United States
Álex Bravo Spain
Guo Wei United States
Seth Berger United States
Zhichao Liu China
Ellen M. McDonagh United States
Lara M. Mangravite United States
Jörg Menche Austria
Lang Li relative to Stephan C. Schürer United States Stephan C. Schürer's profile →
Citations per field
00.5×1.6×
Stephan C. Schürer · 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-authorship network of co-authors of Lang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lang Li. A scholar is included among the top collaborators of Lang Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lang Li. Lang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 10
5 8
6 8
7 2
8 49
9 16
10 15
11 21
12 100
13 13
14 11
15
Innovating Computational Biology and Intelligent Medicine: ICIBM 2019 Special Issue
0
16 22
17 11
18 11
19 16
20 1

About Lang Li

Lang Li is a scholar working on Toxicology, Geriatrics and Gerontology and Computational Theory and Mathematics, having authored 114 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (31 papers), Pharmacovigilance and Adverse Drug Reactions (23 papers) and Bioinformatics and Genomic Networks (18 papers). The work is most often cited by research in Computational Theory and Mathematics (521 citations), Toxicology (105 citations) and Cancer Research (384 citations). Lang Li has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Lijun Cheng, Feixiong Cheng, Xiaoli Zhang, Pengyue Zhang, Yadi Zhou, Ruth Nussinov, Jiansong Fang, Kimerly Powell, Yuan Hou and Chien‐Wei Chiang. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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