Peichen Pan

4.3k citations
89 papers · 3.3k · 5 hit papers · h-index 29

Impact in

    • Computational Drug Discovery Methods
    • Protein Structure and Dynamics
    • Cancer therapeutics and mechanisms
    • RNA and protein synthesis mechanisms
    • Protein Degradation and Inhibitors
    • Receptor Mechanisms and Signaling

Papers in

    • Protein Structure and Dynamics 18
    • Protein Kinase Regulation and GTPase Signaling 10
    • Cancer therapeutics and mechanisms 8
    • Ubiquitin and proteasome pathways 6
    • Protein Degradation and Inhibitors 6
    • Computational Drug Discovery Methods 43

Peichen Pan

89 papers receiving 3.3k citations

Peichen Pan's Hit Papers

Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model 2025 · 40 citations
400+4+8Years since publication100200300400

Peers

Peichen Pan
Comparison fields: 5 of 131
  • Computational Theory and Mathematics 1.2k
  • Molecular Biology 2.1k
  • Oncology 370
  • Toxicology 46
  • Pharmacology 208
Replace Trent E. Balius with:
Trent E. Balius United States
Paul Labute Canada
Oliver Korb United Kingdom
Peter Schmidtke Germany
Zoe Cournia Greece
Hongmao Sun United States
Gianni Chessari United Kingdom
Alberto Del Río Italy
Erin S. D. Bolstad United States
Xiaoqin Zou United States
Peichen Pan relative to Trent E. Balius United States Trent E. Balius's profile →
Citations per field
00.5×1.5×2.3×
Trent E. Balius · 1×
Citations per year

Countries citing papers authored by Peichen Pan

Since Specialization
Citations

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

Fields of papers citing papers by Peichen Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessing the performance of MM/PBSA and MM/GBSA methods. 5. Improved docking performance using high solute dielectric constant MM/GBSA and MM/PBSA rescoring
Hit paper breakdown →
2014468
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
Assessing the performance of MM/PBSA and MM/GBSA methods. 7. Entropy effects on the performance of end-point binding free energy calculation approaches
Hit paper breakdown →
2018281
4 2022122
5 2023108
6 2019107
7 2014100
8
Efficient and accurate large library ligand docking with KarmaDock
Hit paper breakdown →
202397
9 201670
10 201569
11 201367
12 201264
13 201364
14 202349
15 201748
16 201548
17 201348
18 201445
19 202341
20 201341

About Peichen Pan

Peichen Pan is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Materials Chemistry and Organic Chemistry, having authored 89 papers that have together received 3.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (43 papers), Protein Structure and Dynamics (18 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Machine Learning in Materials Science (9 papers), Cancer therapeutics and mechanisms (8 papers), Microbial Natural Products and Biosynthesis (8 papers), Ubiquitin and proteasome pathways (6 papers) and Protein Degradation and Inhibitors (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Molecular Biology (2.1k citations), Oncology (370 citations), Toxicology (46 citations) and Pharmacology (208 citations). Peichen Pan has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Tingjun Hou, Youyong Li, Huiyong Sun, Dan Li, Sheng Tian, Lei Xu, Mingyun Shen, Fu Chen, Yan Guan and Yu Kang. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Scientific Reports, Physical Chemistry Chemical Physics and Molecular BioSystems.

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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