Dan Li

6.8k citations
158 papers · 5.1k · 3 hit papers · h-index 37

Impact in

Papers in

Dan Li

150 papers receiving 5.0k citations

Dan Li's Hit Papers

HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA 2019 · 446 citations
4460+3+7Years since publication100200300400

Peers

Dan Li
Comparison fields: 5 of 157
  • Computational Theory and Mathematics 1.3k
  • Molecular Biology 2.7k
  • Pharmacology 192
  • Oncology 557
  • Infectious Diseases 341
Replace Rituraj Purohit with:
Rituraj Purohit India
Nadine Homeyer Germany
Maria A. Miteva France
Markus K. Dahlgren United States
Mingzhu Yin China
Ajit Jadhav United States
Min Shen United States
Emily Crawford United States
Rajendra Kumar Sweden
Sudeep Pushpakom United Kingdom
Dan Li relative to Rituraj Purohit India Rituraj Purohit's profile →
Citations per field
00.5×1.5×2.0×
Rituraj Purohit · 1×
Citations per year

Countries citing papers authored by Dan Li

Since Specialization
Citations

This map shows the geographic impact of Dan 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 Dan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Li more than expected).

Fields of papers citing papers by Dan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan 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 Dan Li. The network helps show where Dan Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan 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 Dan Li Line = papers co-authored together Dan Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1
HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA
Hit paper breakdown →
2019446
2
Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein–protein binding free energies and re-rank binding poses generated by protein–protein docking
Hit paper breakdown →
2016386
3
The application of in silico drug-likeness predictions in pharmaceutical research
Hit paper breakdown →
2015385
4 2020152
5 2016140
6 2010140
7 2020125
8 2018109
9 2014109
10 2014100
11 202298
12 202091
13 202185
14 201382
15 201781
16 201877
17 201073
18 201770
19 201670
20 201569

About Dan Li

Dan Li is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 158 papers that have together received 5.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (40 papers), Estrogen and related hormone effects (20 papers), Prostate Cancer Treatment and Research (17 papers), Protein Degradation and Inhibitors (15 papers), Protein Structure and Dynamics (14 papers), Receptor Mechanisms and Signaling (12 papers), Ubiquitin and proteasome pathways (8 papers) and Hormonal and reproductive studies (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Molecular Biology (2.7k citations), Pharmacology (192 citations), Oncology (557 citations) and Infectious Diseases (341 citations). Dan Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Tingjun Hou, Youyong Li, Huiyong Sun, Sheng Tian, Peichen Pan, Gaoqi Weng, Lei Xu, Zhe Wang, Feng Zhu and Yu Kang. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Physical Chemistry Chemical Physics, Scientific Reports and Acta Pharmacologica Sinica.

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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