Ying Zhang

5.8k total citations · 1 hit paper
206 papers, 3.8k citations indexed

About

Ying Zhang is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Ying Zhang has authored 206 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Molecular Biology, 30 papers in Ecology and 29 papers in Plant Science. Recurrent topics in Ying Zhang's work include Genomics and Phylogenetic Studies (47 papers), Microbial Metabolic Engineering and Bioproduction (28 papers) and Biofuel production and bioconversion (24 papers). Ying Zhang is often cited by papers focused on Genomics and Phylogenetic Studies (47 papers), Microbial Metabolic Engineering and Bioproduction (28 papers) and Biofuel production and bioconversion (24 papers). Ying Zhang collaborates with scholars based in China, United States and United Kingdom. Ying Zhang's co-authors include Colin Ratledge, Adam Godzik, Ian P. Adams, Stefan M. Sievert, Andrei L. Osterman, Boguslaw Stec, Kevin D. Hyde, Dheeraj S. Roy, Philip Hugenholtz and Christian Rinke and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ying Zhang

188 papers receiving 3.8k citations

Hit Papers

Comparative Genomic Analysis of the Class Epsilonproteoba... 2017 2026 2020 2023 2017 100 200 300
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.

  1. Comparative Genomic Analysis of the Class Epsilonproteobacteria and Proposed Reclassification to Epsilonbacteraeota (phyl. nov.)
    2017 310 citations Ying Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Zhang China 32 1.9k 493 468 434 285 206 3.8k
Hongfei Wang China 32 1.6k 0.8× 502 1.0× 445 1.0× 537 1.2× 64 0.2× 284 4.7k
Baojun Wang China 35 2.8k 1.5× 767 1.6× 488 1.0× 222 0.5× 43 0.2× 221 4.7k
Zhixiang Zhang China 29 1.0k 0.5× 196 0.4× 198 0.4× 552 1.3× 145 0.5× 264 3.2k
Jiao Li China 36 1.9k 1.0× 497 1.0× 78 0.2× 270 0.6× 366 1.3× 208 4.6k
Alexander Brandis Israel 33 2.5k 1.3× 670 1.4× 279 0.6× 154 0.4× 38 0.1× 77 4.5k
Yajing Liu China 30 2.0k 1.1× 422 0.9× 78 0.2× 394 0.9× 92 0.3× 150 4.9k
Ying Huang China 38 4.5k 2.4× 285 0.6× 835 1.8× 786 1.8× 222 0.8× 173 7.2k
Jianan Li China 19 1.3k 0.7× 279 0.6× 88 0.2× 426 1.0× 84 0.3× 84 3.1k
Nan Peng China 39 2.7k 1.4× 441 0.9× 569 1.2× 821 1.9× 41 0.1× 260 4.7k
Ting Chen China 37 1.8k 0.9× 286 0.6× 470 1.0× 792 1.8× 35 0.1× 311 5.5k

Countries citing papers authored by Ying Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ying Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Zhang. A scholar is included among the top collaborators of Ying Zhang 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 Ying Zhang. Ying Zhang 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.
Zhang, Ying, Yan Ma, Yifei Jiang, et al.. (2025). Co-targeting of glial activation and inflammation by tsRNA-Gln-i-0095 for treating retinal ischemic pathologies. Cell Communication and Signaling. 23(1). 18–18. 1 indexed citations
2.
3.
Bing, Ryan G., et al.. (2025). Engineering the hyperthermophilic archaeon Pyrococcus furiosus for 1-propanol production. Applied and Environmental Microbiology. 91(5). e0047125–e0047125. 1 indexed citations
4.
5.
Li, Hui, Li Du, Ying Zhang, et al.. (2024). A unique adsorption-diffusion-decomposition mechanism for hydrogen evolution reaction towards high-efficiency Cr, Fe-modified CoP nanorod catalyst. Applied Catalysis B: Environmental. 346. 123749–123749. 21 indexed citations
6.
Zhang, Ying, Xiaohui Hao, Jincheng Liu, et al.. (2023). Effectively boosting hydration capacity and oxygen reduction activity of cobalt-free perovskite cathode by K+ doping strategy for protonic ceramic fuel cells. Ceramics International. 50(3). 4746–4755. 11 indexed citations
7.
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Zhang, Ying, Jingxiong Zhang, Fengyan Wang, & Wenjing Yang. (2023). Spatiotemporal Landscape Pattern Analyses Enhanced by an Integrated Index: A Study of the Changbai Mountain National Nature Reserve. Remote Sensing. 15(7). 1760–1760. 5 indexed citations
9.
Tritt, Andrew, et al.. (2023). DL-TODA: A Deep Learning Tool for Omics Data Analysis. Biomolecules. 13(4). 585–585. 6 indexed citations
10.
11.
Bing, Ryan G., Ke Zhang, Gina L. Lipscomb, et al.. (2022). Biochemical and Regulatory Analyses of Xylanolytic Regulons in Caldicellulosiruptor bescii Reveal Genus-Wide Features of Hemicellulose Utilization. Applied and Environmental Microbiology. 88(21). e0130222–e0130222. 6 indexed citations
12.
Rodionov, Dmitry A., Irina A. Rodionova, Aleksandr A. Arzamasov, et al.. (2021). Transcriptional Regulation of Plant Biomass Degradation and Carbohydrate Utilization Genes in the Extreme Thermophile Caldicellulosiruptor bescii. mSystems. 6(3). e0134520–e0134520. 15 indexed citations
13.
Banks, Charles A.S., Ying Zhang, Sayem Miah, et al.. (2020). Integrative Modeling of a Sin3/HDAC Complex Sub-structure. Cell Reports. 31(2). 107516–107516. 29 indexed citations
14.
Liu, Liyan, Qiqi Liu, Ying Zhang, & Shengqi Wang. (2020). The Study of a Novel Nucleic Acid Detection Technology by Double-stranded Probe Real-time PCR. Zhongguo shengwu gongcheng zazhi. 40(11). 28–34. 1 indexed citations
15.
Zhang, Ying, Yao Wang, Yuxuan Qin, & Pinglan Li. (2019). Complete genome sequence of Bacillus velezensis LPL-K103, an antifungal cyclic lipopeptide bacillomycin L producer from the surface of lemon. 3 Biotech. 10(1). 8–8. 7 indexed citations
16.
Ouyang, Ting, et al.. (2019). Recent progress on porcine circovirus type 3. Infection Genetics and Evolution. 73. 227–233. 57 indexed citations
17.
18.
Zhang, Ying, Ines Thiele, Dana Weekes, et al.. (2009). Three-Dimensional Structural View of the Central Metabolic Network of Thermotoga maritima. Science. 325(5947). 1544–1549. 146 indexed citations
19.
Zhang, Ying, Ying‐Jun Zhang, Ying‐Jun Zhang, et al.. (2007). Steroidal saponins from the stem of Yucca elephantipes. Phytochemistry. 69(1). 264–270. 31 indexed citations
20.
Zhu, Guoping, et al.. (2002). [Overexpression and detection of the mutated glucose isomerase GIG138P and GIG138P-G247D in Streptomyces lividans].. PubMed. 18(3). 304–7.

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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