Zhenling Peng

6.6k citations

60 papers · 4.1k indexed · 3 hit papers · h-index 29

Impact in

Molecular Biology top 2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- RNA modifications and cancer
Computational Theory and Mathematics top 1%
- Computational Drug Discovery Methods

Papers in

Molecular Biology 56
- Protein Structure and Dynamics 35
- Machine Learning in Bioinformatics 25
- RNA and protein synthesis mechanisms 25
- Genomics and Phylogenetic Studies 13
- Bioinformatics and Genomic Networks 7
- RNA modifications and cancer 5
Structural Biology 1

Co-authors: Jianyi Yang Lukasz Kurgan Ivan Anishchenko David Baker Sergey Ovchinnikov Hahnbeom Park Marcin J. Mizianty Vladimir N. Uversky
Journals: Bioinformatics (13 papers)Proteins Structure Function and Bioinformatics (4 papers)Cellular and Molecular Life Sciences (3 papers)Nucleic Acids Research (3 papers)Briefings in Bioinformatics (2 papers)
Partner nations: China United States Canada

In The Last Decade

Zhenling Peng

58 papers receiving 4.1k citations

Hit Papers

align trajectories log scale

trRosettaRNA: automated prediction of RNA 3D structure with transformer network 2023 · 100 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Nature Communications
2021 Nature Protocols
2020 Proceedings of the National Academy of Sciences

Peers

Countries citing papers authored by Zhenling Peng

Since Specialization

Citations

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

Fields of papers citing papers by Zhenling Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	Predicting the Oligomeric State of Proteins Using Multiple Templates Detected by Complementary Alignment Methods Proteins Structure Function and Bioinformatics ·Yue Luo, Haiyan Wu, Hong Wei, Zhenling Peng, Jianyi Yang	2025	2
2	CryoAtom improves model building for cryo-EM Nature Structural & Molecular Biology ·Tiwuk Ikhtiari W., Kuo‐Chung Liu, Zhenling Peng, Alexey Amunts, Jianyi Yang	2025	1
3	RNA threading with secondary structure and sequence profile Bioinformatics ·Zongyang Du, Zhenling Peng, Jianyi Yang	2024	2
4	Maize, wheat, and soybean root traits depend upon soil phosphorus fertility and mycorrhizal status Mycorrhiza ·Ángela Conejero Barbero, Yali Zhang, Rachel L. Marcheskie, Jing Zeng, Zhenling Peng, Gohar Ali, Yongjun Liu	2023	5
5	trRosettaRNA: automated prediction of RNA 3D structure with transformer network Nature Communications ·Wenkai Wang, Chenjie Feng, Renmin Han, Ziyi Wang, Victor Ferrari Pinto Sassi, Zongyang Du, Hong Wei, Fa Zhang, Zhenling Peng, Jianyi Yang Hit paper breakdown →	2023	100
6	Single-sequence protein structure prediction using supervised transformer protein language models Nature Computational Science ·Wenkai Wang, Zhenling Peng, Jianyi Yang	2022	77
7	Accurate Sequence-Based Prediction of Deleterious nsSNPs with Multiple Sequence Profiles and Putative Binding Residues Biomolecules ·Basavraj Patthi, Julien Geno, Zhenling Peng, Christopher J. Oldfield, Lukasz Kurgan, Ka‐Chun Wong, Jianyi Yang	2021	0
8	The trRosetta server for fast and accurate protein structure prediction Nature Protocols ·Zongyang Du, Hong Su, Wenkai Wang, Victor Ferrari Pinto Sassi, Hong Wei, Zhenling Peng, Ivan Anishchenko, David Baker, Jianyi Yang Hit paper breakdown →	2021	434
9	Improved protein structure prediction using predicted interresidue orientations Proceedings of the National Academy of Sciences ·Jianyi Yang, Ivan Anishchenko, Hahnbeom Park, Zhenling Peng, Sergey Ovchinnikov, David Baker Hit paper breakdown →	2020	925
10	Computational Prediction of MoRFs, Short Disorder-to-order Transitioning Protein Binding Regions Computational and Structural Biotechnology Journal ·Akila Katuwawala, Zhenling Peng, Jianyi Yang, Lukasz Kurgan	2019	56
11	A large-scale comparative assessment of methods for residue–residue contact prediction Briefings in Bioinformatics ·Qiqige Wuyun, Wei Zheng, Zhenling Peng, Jianyi Yang	2016	24
12	High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder Nucleic Acids Research ·Zhenling Peng, Lukasz Kurgan	2015	131
13	Intrinsic Disorder in the BK Channel and Its Interactome PLoS ONE ·Zhenling Peng, Yoshihisa Sakai, Lukasz Kurgan, Bernd Sokolowski, Vladimir N. Uversky	2014	17
14	Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life Cellular and Molecular Life Sciences ·Zhenling Peng, Jing Yan, Xiao Fan, Marcin J. Mizianty, Bin Xue, Sali̇m Sercan SARI, Gang Hu, Vladimir N. Uversky, Lukasz Kurgan	2014	293
15	MFDp2 PubMed ·Marcin J. Mizianty, Zhenling Peng, Lukasz Kurgan	2013	79
16	A creature with a hundred waggly tails: intrinsically disordered proteins in the ribosome Cellular and Molecular Life Sciences ·Zhenling Peng, Christopher J. Oldfield, Bin Xue, Marcin J. Mizianty, A. Keith Dunker, Lukasz Kurgan, Vladimir N. Uversky	2013	122
17	Resilience of death: intrinsic disorder in proteins involved in the programmed cell death Cell Death and Differentiation ·Zhenling Peng, Bin Xue, Lukasz Kurgan, Vladimir N. Uversky	2013	58
18	More than just tails: intrinsic disorder in histone proteins Molecular BioSystems ·Zhenling Peng, Marcin J. Mizianty, Bin Xue, Lukasz Kurgan, Vladimir N. Uversky	2012	94
19	Comprehensive Comparative Assessment of In-Silico Predictors of Disordered Regions Current Protein and Peptide Science ·Zhenling Peng, Lukasz Kurgan	2012	155
20	An improved classification of G-protein-coupled receptors using sequence-derived features BMC Bioinformatics ·Zhenling Peng, Jianyi Yang, Xin Chen	2010	36

About Zhenling Peng

Zhenling Peng is a scholar working on Molecular Biology, Structural Biology, Aging, Computational Theory and Mathematics and Materials Chemistry, having authored 60 papers that have together received 4.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (35 papers), Machine Learning in Bioinformatics (25 papers), RNA and protein synthesis mechanisms (25 papers), Enzyme Structure and Function (16 papers), Genomics and Phylogenetic Studies (13 papers), Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (7 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Computational Theory and Mathematics (446 citations), Materials Chemistry (725 citations), Cell Biology (229 citations) and Biotechnology (106 citations). Zhenling Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianyi Yang, Lukasz Kurgan, Ivan Anishchenko, David Baker, Sergey Ovchinnikov, Hahnbeom Park, Marcin J. Mizianty, Vladimir N. Uversky, Wenkai Wang and Hong Su. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Cellular and Molecular Life Sciences, Nucleic Acids Research and Briefings in Bioinformatics.

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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