Peichen Pan
Impact in
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Protein Kinase Regulation and GTPase Signaling
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
Papers in
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- Computational Drug Discovery Methods 61
-
- Protein Structure and Dynamics 6
- Protein Kinase Regulation and GTPase Signaling 4
- Cancer therapeutics and mechanisms 3
- Ubiquitin and proteasome pathways 3
- Machine Learning in Bioinformatics 3
- Co-authors
- Tingjun Hou (85 shared papers)Youyong Li (26 shared papers)Huiyong Sun (22 shared papers)Dan Li (28 shared papers)Sheng Tian (12 shared papers)Lei Xu (19 shared papers)Mingyun Shen (9 shared papers)Fu Chen (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (11 papers)Journal of Chemical Information and Modeling (8 papers)Physical Chemistry Chemical Physics (6 papers)Molecular BioSystems (6 papers)Scientific Reports (6 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Peichen Pan
91 papers receiving 3.5k citations
Peichen Pan's Hit Papers
Peers
Comparison fields: 5 of 112
- Computational Theory and Mathematics 2k
- Molecular Biology 983
- Infectious Diseases 124
- Pulmonary and Respiratory Medicine 176
- Organic Chemistry 173
Countries citing papers authored by Peichen Pan
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
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.
All Works
Showing the 20 most-cited of 93 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 → | 2014 | 479 |
| 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 → | 2016 | 394 |
| 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 → | 2018 | 298 |
| 4 | Boosting Protein–Ligand Binding Pose Prediction and Virtual Screening Based on Residue–Atom Distance Likelihood Potential and Graph Transformer Hit paper breakdown → | 2022 | 142 |
| 5 | Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking Hit paper breakdown → | 2023 | 131 |
| 6 | 2019 | 111 | |
| 7 | Efficient and accurate large library ligand docking with KarmaDock Hit paper breakdown → | 2023 | 110 |
| 8 | 2014 | 103 | |
| 9 | 2016 | 71 | |
| 10 | 2015 | 70 | |
| 11 | 2013 | 68 | |
| 12 | 2013 | 65 | |
| 13 | 2012 | 64 | |
| 14 | Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model Hit paper breakdown → | 2025 | 59 |
| 15 | 2023 | 58 | |
| 16 | 2023 | 51 | |
| 17 | 2013 | 49 | |
| 18 | 2015 | 48 | |
| 19 | 2017 | 48 | |
| 20 | 2014 | 47 |
About Peichen Pan
Peichen Pan is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Hepatology, having authored 93 papers that have together received 3.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (61 papers), Protein Structure and Dynamics (6 papers), Lung Cancer Treatments and Mutations (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cancer therapeutics and mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers), Influenza Virus Research Studies (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (2k citations), Molecular Biology (983 citations), Infectious Diseases (124 citations), Pulmonary and Respiratory Medicine (176 citations) and Organic Chemistry (173 citations). Peichen Pan has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Tingjun Hou, Youyong Li, Huiyong Sun, Dan Li, Sheng Tian, Lei Xu, Mingyun Shen, Fu Chen, Yu Kang and Hui Liu. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Physical Chemistry Chemical Physics, Molecular BioSystems and Scientific Reports.
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.