Yang Zhang

85.7k citations
975 papers · 56.2k · 28 hit papers · h-index 93

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Circular RNAs in diseases
    • Genomics and Phylogenetic Studies
    • MicroRNA in disease regulation

Papers in

    • Protein Structure and Dynamics 165
    • RNA and protein synthesis mechanisms 88
    • Machine Learning in Bioinformatics 59
    • Genomics and Phylogenetic Studies 39
    • RNA modifications and cancer 34
    • Glycosylation and Glycoproteins Research 32
    • Enzyme Structure and Function 105

Yang Zhang

926 papers receiving 55.5k citations

Yang Zhang's Hit Papers

Molecular mechanisms and therapeutic strategies in overcoming chemotherapy resistance in cancer 2025 · 46 citations
460+4+8Years since publication50010001.5k

Peers

Yang Zhang
Comparison fields: 5 of 215
  • Molecular Biology 36.7k
  • Cancer Research 4.5k
  • Computational Theory and Mathematics 4.4k
  • Microbiology 1.3k
  • Structural Biology 307
Replace George M. Church with:
George M. Church United States
Tom L. Blundell United Kingdom
Ruth Nussinov United States
Ruedi Aebersold Switzerland
David S. Wishart Canada
Vladimir N. Uversky United States
Andrej Šali United States
Mark Gerstein United States
Robert Huber Germany
Berk Hess Sweden
Yang Zhang relative to George M. Church United States George M. Church's profile →
Citations per field
00.5×1.5×2.3×
George M. Church · 1×
Citations per year

Countries citing papers authored by Yang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 975 papers — load more, or switch the sort, to bring in the rest.

#Work
1
I-TASSER: a unified platform for automated protein structure and function prediction
Hit paper breakdown →
20105104
2
I-TASSER server for protein 3D structure prediction
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20084217
3
TM-align: a protein structure alignment algorithm based on the TM-score
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20052644
4
I-TASSER server: new development for protein structure and function predictions
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20151871
5
Scoring function for automated assessment of protein structure template quality
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20041692
6
Complementary Sequence-Mediated Exon Circularization
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20141567
7
Extensive translation of circular RNAs driven by N6-methyladenosine
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20171482
8
Improving the Physical Realism and Structural Accuracy of Protein Models by a Two-Step Atomic-Level Energy Minimization
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2011832
9
Diverse alternative back-splicing and alternative splicing landscape of circular RNAs
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2016780
10
Protein–ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment
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2013779
11
Redox Regulation of NLRP3 Inflammasomes: ROS as Trigger or Effector?
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2014774
12
How significant is a protein structure similarity with TM-score = 0.5?
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2010734
13
Ab initio protein structure assembly using continuous structure fragments and optimized knowledge‐based force field
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2012713
14
LOMETS: A local meta-threading-server for protein structure prediction
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2007659
15
BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions
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2012587
16
COFACTOR: an accurate comparative algorithm for structure-based protein function annotation
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2012569
17
Functional Mesenchymal Stem Cells Derived From Human Induced Pluripotent Stem Cells Attenuate Limb Ischemia in Mice
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2010524
18
The Biogenesis of Nascent Circular RNAs
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2016491
19
COFACTOR: improved protein function prediction by combining structure, sequence and protein–protein interaction information
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2017457
20
Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics
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2017438

About Yang Zhang

Yang Zhang is a scholar working on Molecular Biology, Materials Chemistry, Plant Science, Oncology and Spectroscopy, having authored 975 papers that have together received 56.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (165 papers), Enzyme Structure and Function (105 papers), RNA and protein synthesis mechanisms (88 papers), Machine Learning in Bioinformatics (59 papers), Genomics and Phylogenetic Studies (39 papers), RNA modifications and cancer (34 papers), Computational Drug Discovery Methods (32 papers) and Glycosylation and Glycoproteins Research (32 papers). The work is most often cited by research in Molecular Biology (36.7k citations), Cancer Research (4.5k citations), Computational Theory and Mathematics (4.4k citations), Microbiology (1.3k citations) and Structural Biology (307 citations). Yang Zhang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ambrish Roy, Jianyi Yang, Jeffrey Skolnick, Alper Küçükural, Dong Xu, Sitao Wu, Chengxin Zhang, Ling‐Ling Chen, Li Yang and Robin Pearce. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.

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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