Peichen Pan

4.1k total citations · 3 hit papers
88 papers, 3.1k citations indexed

About

Peichen Pan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Peichen Pan has authored 88 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 44 papers in Computational Theory and Mathematics and 15 papers in Oncology. Recurrent topics in Peichen Pan's work include Computational Drug Discovery Methods (43 papers), Protein Structure and Dynamics (18 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). Peichen Pan is often cited by papers focused on Computational Drug Discovery Methods (43 papers), Protein Structure and Dynamics (18 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). Peichen Pan collaborates with scholars based in China, Macao and United States. Peichen Pan's co-authors include Tingjun Hou, Youyong Li, Huiyong Sun, Dan Li, Sheng Tian, Lei Xu, Mingyun Shen, Fu Chen, Yan Guan and Yu Kang and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Peichen Pan

85 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2014 460 citations Huiyong Sun, Youyong Li et al. profile →
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

2016 374 citations Huiyong Sun, Peichen Pan et al. profile →
Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model

2025 33 citations Jike Wang, Yu Kang et al. Science Advances profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peichen Pan China	28	2.1k	1.1k	376	360	337	88	3.1k
Sheng Tian China	30	2.6k 1.3×	1.5k 1.3×	469 1.2×	361 1.0×	644 1.9×	88	4.3k
Weiqiang Lü China	31	2.1k 1.0×	1.1k 1.0×	329 0.9×	189 0.5×	400 1.2×	97	3.3k
Anneli Karlsson Sweden	9	2.6k 1.2×	1.5k 1.4×	301 0.8×	395 1.1×	283 0.8×	14	3.8k
Shuxing Zhang United States	35	2.8k 1.4×	824 0.7×	631 1.7×	225 0.6×	339 1.0×	87	4.2k
Xiaoqin Zou United States	30	3.1k 1.5×	1.8k 1.6×	204 0.5×	545 1.5×	428 1.3×	87	4.1k
Rengül Çetin-Atalay Türkiye	33	2.0k 1.0×	670 0.6×	358 1.0×	312 0.9×	779 2.3×	140	3.8k
Alberto Del Río Italy	29	1.6k 0.8×	576 0.5×	411 1.1×	221 0.6×	356 1.1×	78	2.9k
Li Han China	25	1.8k 0.9×	1.1k 1.0×	211 0.6×	368 1.0×	174 0.5×	72	2.7k
Rita Santos United Kingdom	7	2.3k 1.1×	1.3k 1.2×	252 0.7×	286 0.8×	252 0.7×	10	3.3k
Christina Kiel Spain	26	2.6k 1.3×	509 0.5×	329 0.9×	264 0.7×	161 0.5×	60	3.4k

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-authorship network of co-authors of Peichen Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Peichen Pan. A scholar is included among the top collaborators of Peichen Pan 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 Peichen Pan. Peichen Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Yifei, Yiheng Zhu, Jike Wang, et al.. (2025). A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search. Advanced Science. 12(20). e2410640–e2410640. 4 indexed citations

Wang, Jike, Yu Kang, Peichen Pan, et al.. (2025). Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model. Science Advances. 11(10). eads8932–eads8932. 33 indexed citations breakdown →

Wang, Ying, Xinyue Wang, Xin Chai, et al.. (2025). Discovery of N-(1,2,4-Thiadiazol-5-yl)benzo[b]oxepine-4-carboxamide Derivatives as Novel Antiresistance Androgen Receptor Antagonists. Journal of Medicinal Chemistry. 68(3). 3445–3459.

Shen, Chao, Xujun Zhang, Odin Zhang, et al.. (2025). Unlocking the application potential of AlphaFold3-like approaches in virtual screening. Chemical Science. 17(5). 2858–2879.

Du, Hongyan, Xujun Zhang, Zhenhua Wu, et al.. (2024). CovalentInDB 2.0: an updated comprehensive database for structure-based and ligand-based covalent inhibitor design and screening. Nucleic Acids Research. 53(D1). D1322–D1327. 11 indexed citations

Zhang, Odin, Yufei Huang, Xujun Zhang, et al.. (2024). FragGen: towards 3D geometry reliable fragment-based molecular generation. Chemical Science. 15(46). 19452–19465. 2 indexed citations

Zhang, Ping, Yuyan Yang, Wei Shi, et al.. (2024). Highly Potent and Intestine Specific P‐Glycoprotein Inhibitor to Enable Oral Delivery of Taxol. Angewandte Chemie International Edition. 63(45). e202412649–e202412649. 5 indexed citations

Wang, Huating, Xuwen Wang, Haiyang Zhong, et al.. (2024). Discovery of 5-Nitro-N-(3-(trifluoromethyl)phenyl) Pyridin-2-amine as a Novel Pure Androgen Receptor Antagonist against Antiandrogen Resistance. Journal of Medicinal Chemistry. 67(22). 20514–20530. 1 indexed citations

Li, Shuai, Jike Wang, Odin Zhang, et al.. (2024). ClickGen: Directed exploration of synthesizable chemical space via modular reactions and reinforcement learning. Nature Communications. 15(1). 10127–10127. 10 indexed citations

10.

Zhang, Xujun, Odin Zhang, Chao Shen, et al.. (2023). Efficient and accurate large library ligand docking with KarmaDock. Nature Computational Science. 3(9). 789–804. 80 indexed citations

11.

Shen, Chao, Xujun Zhang, Tong Chen, et al.. (2023). CarsiDock: a deep learning paradigm for accurate protein–ligand docking and screening based on large-scale pre-training. Chemical Science. 15(4). 1449–1471. 29 indexed citations

12.

Du, Hongyan, Dejun Jiang, Odin Zhang, et al.. (2023). A flexible data-free framework for structure-based de novo drug design with reinforcement learning. Chemical Science. 14(43). 12166–12181. 10 indexed citations

13.

Shi, Rui, Peichen Pan, Rui Lv, et al.. (2022). High-throughput glycolytic inhibitor discovery targeting glioblastoma by graphite dots–assisted LDI mass spectrometry. Science Advances. 8(7). eabl4923–eabl4923. 26 indexed citations

14.

Ai, Nana, Mingyun Shen, Yuanye Dang, et al.. (2017). Discovery of a ROCK inhibitor, FPND, which prevents cerebral hemorrhage through maintaining vascular integrity by interference with VE-cadherin. Cell Death Discovery. 3(1). 17051–17051. 18 indexed citations

15.

Chong, Cheong‐Meng, Peichen Pan, Hefeng Zhou, et al.. (2016). Discovery of a novel ROCK2 inhibitor with anti-migration effects via docking and high-content drug screening. Molecular BioSystems. 12(9). 2713–2721. 15 indexed citations

16.

Guan, Yan, Huiyong Sun, Peichen Pan, et al.. (2015). Exploring resistance mechanisms of HCV NS3/4A protease mutations to MK5172: insight from molecular dynamics simulations and free energy calculations. Molecular BioSystems. 11(9). 2568–2578. 18 indexed citations

17.

Wang, Xuwen, Peichen Pan, Youyong Li, Dan Li, & Tingjun Hou. (2014). Exploring the prominent performance of CX-4945 derivatives as protein kinase CK2 inhibitors by a combined computational study. Molecular BioSystems. 10(5). 1196–1210. 14 indexed citations

18.

Shen, Mingyun, Huidong Yu, Youyong Li, et al.. (2013). Discovery of Rho-kinase inhibitors by docking-based virtual screening. Molecular BioSystems. 9(6). 1511–1521. 48 indexed citations

19.

Shen, Mingyun, et al.. (2012). Discovery and optimization of triazine derivatives as ROCK1 inhibitors: molecular docking, molecular dynamics simulations and free energy calculations. Molecular BioSystems. 9(3). 361–374. 63 indexed citations

20.

Pan, Peichen. (1997). Continuous retiming: algorithms and applications. 116–121. 17 indexed citations

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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