Chen Zeng

4.5k total citations · 1 hit paper
115 papers, 3.4k citations indexed

About

Chen Zeng is a scholar working on Molecular Biology, Condensed Matter Physics and Oncology. According to data from OpenAlex, Chen Zeng has authored 115 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 19 papers in Condensed Matter Physics and 10 papers in Oncology. Recurrent topics in Chen Zeng's work include RNA and protein synthesis mechanisms (22 papers), Physics of Superconductivity and Magnetism (15 papers) and Protein Structure and Dynamics (14 papers). Chen Zeng is often cited by papers focused on RNA and protein synthesis mechanisms (22 papers), Physics of Superconductivity and Magnetism (15 papers) and Protein Structure and Dynamics (14 papers). Chen Zeng collaborates with scholars based in United States, China and United Kingdom. Chen Zeng's co-authors include Veit Elser, Weiqun Peng, Chongzhi Zang, Dustin E. Schones, Kairong Cui, Keji Zhao, Yunjie Zhao, J. B. Marston, R. F. Bishop and D. J. J. Farnell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Chen Zeng

112 papers receiving 3.3k citations

Hit Papers

A clustering approach for... 2009 2026 2014 2020 2009 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chen Zeng 1.8k 822 501 327 262 115 3.4k
Jizhong Lou 1.9k 1.1× 222 0.3× 753 1.5× 526 1.6× 220 0.8× 107 3.8k
Greg McMullan 1.8k 1.0× 1.1k 1.4× 515 1.0× 57 0.2× 152 0.6× 48 4.8k
Vladimir V. Rogov 3.3k 1.8× 119 0.1× 247 0.5× 614 1.9× 304 1.2× 103 6.2k
Taku A. Tokuyasu 1.1k 0.6× 760 0.9× 380 0.8× 76 0.2× 241 0.9× 45 2.6k
Stephen J. Kron 5.8k 3.2× 231 0.3× 576 1.1× 416 1.3× 904 3.5× 151 8.4k
Oleg V. Sobolev 2.7k 1.5× 444 0.5× 191 0.4× 205 0.6× 210 0.8× 60 4.4k
Torsten Herrmann 3.1k 1.7× 205 0.2× 319 0.6× 375 1.1× 448 1.7× 89 5.4k
Alex Bunker 1.4k 0.8× 228 0.3× 352 0.7× 83 0.3× 223 0.9× 84 2.7k
S.W. Hui 3.0k 1.7× 187 0.2× 591 1.2× 239 0.7× 102 0.4× 136 4.6k

Countries citing papers authored by Chen Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Chen Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Zeng

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

All Works

20 of 20 papers shown
1.
Liu, Chao, Fan Zhang, Chen Zeng, Zhao Yang, & Wei Yang. (2025). Dynamics of suspended sediment sources in the Kuoqionggangri glacier Basin, Tibetan Plateau, under diverse hydrometeorological conditions. Journal of Hydrology. 660. 133510–133510.
2.
Zeng, Chen, et al.. (2025). RNA-protein interaction prediction using network-guided deep learning. Communications Biology. 8(1). 247–247. 8 indexed citations
3.
Li, Yipeng, Pan Xu, Rahul Simha, et al.. (2024). MeCP2 deficiency alters the response selectivity of prefrontal cortical neurons to different social stimuli. eNeuro. 11(9). ENEURO.0003–24.2024. 1 indexed citations
4.
Ning, Shangbo, Min Sun, Dong Xu, et al.. (2023). Dynamic geometry design of cyclic peptide architectures for RNA structure. Physical Chemistry Chemical Physics. 25(41). 27967–27980. 3 indexed citations
5.
Du, Chenghang, et al.. (2023). Data-driven detection of critical points of phase transitions in complex systems. Communications Physics. 6(1). 4 indexed citations
6.
Vosoughi, Soroush, et al.. (2023). Evaluating native-like structures of RNA-protein complexes through the deep learning method. Nature Communications. 14(1). 1060–1060. 33 indexed citations
7.
Li, Qin, Lu Chen, Lin Liu, et al.. (2023). Pharmacokinetic and Bioequivalence Study of Lisinopril/Hydrochlorothiazide Tablet Under Fasting and Postprandial Conditions in Healthy Chinese Subjects. Clinical Pharmacology in Drug Development. 13(2). 160–167. 1 indexed citations
8.
Xu, Pan, Xiaoqian Sun, Zhichao Liu, et al.. (2022). Pattern decorrelation in the mouse medial prefrontal cortex enables social preference and requires MeCP2. Nature Communications. 13(1). 3899–3899. 19 indexed citations
9.
Xu, Pan, Zhichao Liu, Xiaoqian Sun, et al.. (2021). Motor training improves coordination and anxiety in symptomatic Mecp2 -null mice despite impaired functional connectivity within the motor circuit. Science Advances. 7(43). eabf7467–eabf7467. 10 indexed citations
10.
Ning, Shangbo, et al.. (2021). The TAR binding dynamics and its implication in Tat degradation mechanism. Biophysical Journal. 120(23). 5158–5168. 9 indexed citations
12.
Catalina, Michelle D., Prathyusha Bachali, Nicholas Geraci, et al.. (2019). Machine learning approaches to predict lupus disease activity from gene expression data. Scientific Reports. 9(1). 9617–9617. 55 indexed citations
13.
Zhang, Peiling, Chen Zeng, Jiali Cheng, et al.. (2019). Determination of Epstein-Barr Virus–Infected Lymphocyte Cell Types in Peripheral Blood Mononuclear Cells as a Valuable Diagnostic Tool in Hematological Diseases. Open Forum Infectious Diseases. 6(5). ofz171–ofz171. 15 indexed citations
14.
Guan, Xiaoyang, Chen Zeng, Eric R. Greene, et al.. (2015). Molecular-scale features that govern the effects of O-glycosylation on a carbohydrate-binding module. Chemical Science. 6(12). 7185–7189. 28 indexed citations
15.
Hawley, Robert G., Yuzhong Chen, Irene Riz, & Chen Zeng. (2012). An Integrated Bioinformatics and Computational Biology ApproachIdentifies New BH3-Only Protein Candidates. PubMed. 5(1). 6–16. 9 indexed citations
16.
Duyne, Rachel Van, Jessica C. Cardenas, Rebecca Easley, et al.. (2008). Effect of transcription peptide inhibitors on HIV-1 replication. Virology. 376(2). 308–322. 36 indexed citations
17.
Zhang, Chun, et al.. (2006). The Analysis of Nutritional Component and Amino Acid Composition of Muscle in a New Type of Triploid Crucian Carp(Carassius auratus). 29(4). 85–88. 1 indexed citations
18.
Agbottah, Emmanuel, Naigong Zhang, Anne Pumfery, et al.. (2005). Inhibition of HIV-1 virus replication using small soluble Tat peptides. Virology. 345(2). 373–389. 28 indexed citations
19.
Zhang, Naigong, Chen Zeng, & Ned S. Wingreen. (2004). Fast accurate evaluation of protein solvent exposure. Proteins Structure Function and Bioinformatics. 57(3). 565–576. 23 indexed citations
20.
Zeng, Chen. (1994). Quantum Kagome Antiferromagnet. PhDT. 1 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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