Ercheng Wang

4.3k total citations · 2 hit papers
47 papers, 3.0k citations indexed

About

Ercheng Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Ercheng Wang has authored 47 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 10 papers in Materials Chemistry. Recurrent topics in Ercheng Wang's work include Protein Structure and Dynamics (18 papers), Computational Drug Discovery Methods (17 papers) and RNA and protein synthesis mechanisms (9 papers). Ercheng Wang is often cited by papers focused on Protein Structure and Dynamics (18 papers), Computational Drug Discovery Methods (17 papers) and RNA and protein synthesis mechanisms (9 papers). Ercheng Wang collaborates with scholars based in China, United States and Macao. Ercheng Wang's co-authors include Tingjun Hou, Zhe Wang, Huiyong Sun, Junmei Wang, John Z. H. Zhang, Gaoqi Weng, Feng Zhu, Dan Li, Hui Liu and Yu Kang and has published in prestigious journals such as Chemical Reviews, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ercheng Wang

44 papers receiving 3.0k 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.

End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design

2019 1.5k citations Ercheng Wang, Zhe Wang et al. profile →
HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA

2019 420 citations Gaoqi Weng, Ercheng Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ercheng Wang China	18	2.0k	1.1k	390	346	308	47	3.0k
T. Dwight McGee United States	7	2.4k 1.2×	813 0.7×	420 1.1×	519 1.5×	313 1.0×	8	3.7k
Bill R. Miller United States	11	2.3k 1.2×	739 0.7×	382 1.0×	535 1.5×	297 1.0×	23	3.7k
Kai Zhu United States	18	1.5k 0.7×	622 0.6×	227 0.6×	454 1.3×	260 0.8×	29	2.2k
Rashmi Kumari India	9	2.1k 1.0×	1.1k 1.0×	458 1.2×	736 2.1×	196 0.6×	40	4.1k
Mark A. Moraes United States	6	1.8k 0.9×	827 0.8×	294 0.8×	552 1.6×	297 1.0×	7	3.3k
Jinn‐Moon Yang Taiwan	32	2.3k 1.1×	894 0.8×	358 0.9×	568 1.6×	253 0.8×	157	4.3k
Peter Schmidtke Spain	18	2.3k 1.1×	1.1k 1.0×	187 0.5×	282 0.8×	398 1.3×	26	3.2k
Dan Li China	36	2.7k 1.3×	1.3k 1.2×	357 0.9×	484 1.4×	357 1.2×	156	4.7k
Daniel Seeliger Germany	24	2.5k 1.2×	798 0.7×	159 0.4×	386 1.1×	475 1.5×	43	3.8k
Friedrich Rippmann Germany	18	1.9k 0.9×	924 0.8×	180 0.5×	216 0.6×	366 1.2×	41	2.6k

Countries citing papers authored by Ercheng Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ercheng Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ercheng Wang

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

All Works

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20 of 20 papers shown

Li, Wenhui, Baicheng Huang, Meng-Hao Guo, et al.. (2025). Unveiling the evolution of antimicrobial peptides in gut microbes via foundation-model-powered framework. Cell Reports. 44(6). 115773–115773. 3 indexed citations

Yan, Zhenzhen, Qian Gao, Yan Jiang, et al.. (2025). Structural Insights into an Antiparallel Chair‐Type G‐Quadruplex From the Intron of NOP56 Oncogene. Advanced Science. 12(16). e2406230–e2406230.

Li, Junyou, Lanqing Li, Ercheng Wang, et al.. (2025). Unified and explainable molecular representation learning for imperfectly annotated data from the hypergraph view. Nature Communications. 16(1). 8717–8717.

Li, Cuiyu, Hongyan Du, Chengwei Zhang, et al.. (2025). Comprehensive Evaluation of End-Point Free Energy Methods in DNA–Ligand Interaction Predictions. Journal of Chemical Information and Modeling. 65(4). 2014–2025. 1 indexed citations

Wang, Xinyue, Xin Chai, Zhe Wang, et al.. (2024). Discovery of Novel Anti‐Resistance AR Antagonists Guided by Funnel Metadynamics Simulation. Advanced Science. 11(19). e2309261–e2309261. 7 indexed citations

Chen, Guangyong, Odin Zhang, Xujun Zhang, et al.. (2024). Enabling target-aware molecule generation to follow multi objectives with Pareto MCTS. Communications Biology. 7(1). 1074–1074. 2 indexed citations

Guo, Fei, et al.. (2023). ComDock: A novel approach for protein-protein docking with an efficient fusing strategy. Computers in Biology and Medicine. 167. 107660–107660. 11 indexed citations

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

Chen, Guangyong, Ercheng Wang, Jun Zhang, et al.. (2023). ProRefiner: an entropy-based refining strategy for inverse protein folding with global graph attention. Nature Communications. 14(1). 7434–7434. 13 indexed citations

10.

Chen, Kexin, Guangyong Chen, Junyou Li, et al.. (2023). MetaRF: attention-based random forest for reaction yield prediction with a few trails. Journal of Cheminformatics. 15(1). 43–43. 17 indexed citations

11.

Song, Nan, et al.. (2023). PMF-CPI: assessing drug selectivity with a pretrained multi-functional model for compound–protein interactions. Journal of Cheminformatics. 15(1). 97–97. 16 indexed citations

12.

Hu, Xueping, Jinping Pang, Jintu Zhang, et al.. (2021). Discovery of Novel GR Ligands toward Druggable GR Antagonist Conformations Identified by MD Simulations and Markov State Model Analysis. Advanced Science. 9(3). e2102435–e2102435. 35 indexed citations

13.

Wang, Ercheng, et al.. (2020). Pathway regulation mechanism revealed by cotranslational folding of villin headpiece subdomain HP35. Physical review. E. 101(5). 52403–52403. 3 indexed citations

14.

Tang, Qin, Weitao Fu, Ercheng Wang, et al.. (2020). Novel androgen receptor antagonist identified by structure-based virtual screening, structural optimization, and biological evaluation. European Journal of Medicinal Chemistry. 192. 112156–112156. 18 indexed citations

15.

Weng, Gaoqi, Junbo Gao, Zhe Wang, et al.. (2020). Comprehensive Evaluation of Fourteen Docking Programs on Protein–Peptide Complexes. Journal of Chemical Theory and Computation. 16(6). 3959–3969. 119 indexed citations

16.

Shen, Chao, Xuwen Wang, Tailong Lei, et al.. (2019). Importance of Incorporating Protein Flexibility in Molecule Modeling: A Theoretical Study on Type I1/2 NIK Inhibitors. Frontiers in Pharmacology. 10. 345–345. 11 indexed citations

17.

Wang, Ercheng, Jun Wang, Changjun Chen, & Yi Xiao. (2015). Computational evidence that fast translation speed can increase the probability of cotranslational protein folding. Scientific Reports. 5(1). 15316–15316. 13 indexed citations

18.

Chen, Changjun, Ercheng Wang, Pengyu Liu, & Yi Xiao. (2013). Simulation study of the role of the ribosomal exit tunnel on protein folding. Physical Review E. 87(2). 22701–22701. 7 indexed citations

19.

Zhang, Jingjun, et al.. (2008). A LQR Controller Design for Active Vibration Control of Flexible Structures. 127–132. 21 indexed citations

20.

Zhang, Jingjun, Ercheng Wang, & Ruizhen Gao. (2008). Neural Network Predictive Control for Piezoelectric Smart Structures. 417–421. 2 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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