Yang Zhang
Impact in
- Molecular Biology top 0.01%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Circular RNAs in diseases
- Genomics and Phylogenetic Studies
- Cancer Research top 0.1%
- MicroRNA in disease regulation
Papers in
-
- Protein Structure and Dynamics 169
- RNA and protein synthesis mechanisms 98
- Machine Learning in Bioinformatics 73
- Genomics and Phylogenetic Studies 52
- RNA modifications and cancer 44
- Glycosylation and Glycoproteins Research 35
- Co-authors
- Ambrish RoyJianyi YangJeffrey SkolnickAlper KüçükuralDong XuSitao WuChengxin ZhangLing‐Ling Chen
- Journals
- Bioinformatics (33 papers)Proteins Structure Function and Bioinformatics (32 papers)Nucleic Acids Research (23 papers)Journal of Molecular Biology (17 papers)PLoS ONE (17 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yang Zhang
912 papers receiving 52.7k citations
Hit Papers
Peers
Comparison fields: 5 of 213
- Molecular Biology 37.2k
- Cancer Research 5.1k
- Computational Theory and Mathematics 4.5k
- Microbiology 1.3k
- Structural Biology 287
Countries citing papers authored by Yang Zhang
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 2 | |
| 14 | 2021 | 59 | |
| 15 | 2021 | 23 | |
| 16 | HMGA2 Polymorphisms and Hepatoblastoma Susceptibility: A Five-Center Case-Control Study | 2020 | 4 |
| 17 | A Differential Diagnosis Model For Diabetic Nephropathy And Non-Diabetic Renal Disease In Patients With Type 2 Diabetes Complicated With Chronic Kidney Disease | 2019 | 3 |
| 18 | 2015 | 13 | |
| 19 | 2014 | 29 | |
| 20 | 2005 | 212 |
About Yang Zhang
Yang Zhang is a scholar working on Molecular Biology, Structural Biology, Spectroscopy, Materials Chemistry and Cancer Research, having authored 956 papers that have together received 53.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (169 papers), Enzyme Structure and Function (117 papers), RNA and protein synthesis mechanisms (98 papers), Machine Learning in Bioinformatics (73 papers), Genomics and Phylogenetic Studies (52 papers), RNA modifications and cancer (44 papers), Computational Drug Discovery Methods (40 papers) and Glycosylation and Glycoproteins Research (35 papers). The work is most often cited by research in Molecular Biology (37.2k citations), Cancer Research (5.1k citations), Computational Theory and Mathematics (4.5k citations), Microbiology (1.3k citations) and Structural Biology (287 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, Journal of Molecular Biology and PLoS ONE.
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.