Yaoping Zhang

2.7k total citations
71 papers, 1.6k citations indexed

About

Yaoping Zhang is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Yaoping Zhang has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 27 papers in Biomedical Engineering and 11 papers in Materials Chemistry. Recurrent topics in Yaoping Zhang's work include Biofuel production and bioconversion (24 papers), Microbial Metabolic Engineering and Bioproduction (22 papers) and Enzyme Structure and Function (10 papers). Yaoping Zhang is often cited by papers focused on Biofuel production and bioconversion (24 papers), Microbial Metabolic Engineering and Bioproduction (22 papers) and Enzyme Structure and Function (10 papers). Yaoping Zhang collaborates with scholars based in United States, China and Australia. Yaoping Zhang's co-authors include Gary P. Roberts, Edward L. Pohlmann, Paul W. Ludden, Robert Landick, Shihui Yang, Jilun Li, Trey K. Sato, Lydia M. Contreras, Mary Conrad and Joshua J. Coon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Yaoping Zhang

70 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaoping Zhang United States 24 955 583 260 225 183 71 1.6k
Juan Nogales Spain 23 1.5k 1.5× 617 1.1× 186 0.7× 256 1.1× 124 0.7× 54 2.1k
Bernhard Kusian Germany 15 761 0.8× 254 0.4× 99 0.4× 154 0.7× 225 1.2× 19 1.2k
Takahisa Tajima Japan 20 695 0.7× 366 0.6× 262 1.0× 116 0.5× 70 0.4× 71 1.2k
Guadalupe Espı́n Mexico 28 1.3k 1.3× 239 0.4× 440 1.7× 237 1.1× 114 0.6× 84 2.3k
Markus Pötter Germany 16 930 1.0× 394 0.7× 78 0.3× 89 0.4× 124 0.7× 22 1.6k
James B. McKinlay United States 24 1.5k 1.6× 818 1.4× 84 0.3× 386 1.7× 506 2.8× 46 2.4k
Mervi Toivari Finland 24 1.6k 1.7× 1.1k 2.0× 179 0.7× 148 0.7× 49 0.3× 42 2.2k
Qiu Cui China 28 1.4k 1.5× 1.1k 1.8× 240 0.9× 602 2.7× 32 0.2× 119 2.7k
Caroline Peres Belgium 8 676 0.7× 156 0.3× 230 0.9× 141 0.6× 177 1.0× 10 1.2k
Christopher T. Nomura United States 32 1.5k 1.6× 683 1.2× 107 0.4× 158 0.7× 65 0.4× 82 2.8k

Countries citing papers authored by Yaoping Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yaoping Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoping Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoping Zhang. A scholar is included among the top collaborators of Yaoping 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 Yaoping Zhang. Yaoping 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.
Sener, Canan, Steven D. Karlen, Jose M. Perez, et al.. (2025). Integrating catalytic fractionation and microbial funneling to produce 2-pyrone-4,6-dicarboxylic acid and ethanol. Green Chemistry. 28(1). 186–198.
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Wrobel, Russell L., Larry C. Anthony, Trey K. Sato, et al.. (2023). High yield co-production of isobutanol and ethanol from switchgrass: experiments, and process synthesis and analysis. Sustainable Energy & Fuels. 7(14). 3266–3275. 5 indexed citations
4.
Zhang, Yaoping, et al.. (2023). Sudden severe hypoxemia and reintubation after uneventful laparoscopic surgery: A case report. Asian Journal of Surgery. 46(12). 5797–5798. 1 indexed citations
5.
Wadler, Caryn S., John F. Wolters, Nathaniel W. Fortney, et al.. (2022). Utilization of lignocellulosic biofuel conversion residue by diverse microorganisms. SHILAP Revista de lepidopterología. 15(1). 70–70. 5 indexed citations
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Zhang, Yaoping, Lawrence G. Oates, José Serate, et al.. (2018). Diverse lignocellulosic feedstocks can achieve high field‐scale ethanol yields while providing flexibility for the biorefinery and landscape‐level environmental benefits. GCB Bioenergy. 10(11). 825–840. 34 indexed citations
9.
McGee, Mick, Alan Higbee, Alex S. Hebert, et al.. (2018). Chemical genomic guided engineering of gamma-valerolactone tolerant yeast. Microbial Cell Factories. 17(1). 5–5. 12 indexed citations
10.
Hebert, Alexander S., et al.. (2018). OptSSeq explores enzyme expression and function landscapes to maximize isobutanol production rate. Metabolic Engineering. 52. 324–340. 32 indexed citations
11.
Yang, Shihui, Oleg V. Moskvin, Yongfu Yang, et al.. (2018). Complete genome sequence and the expression pattern of plasmids of the model ethanologen Zymomonas mobilis ZM4 and its xylose-utilizing derivatives 8b and 2032. Biotechnology for Biofuels. 11(1). 125–125. 59 indexed citations
12.
Breuer, Rebecca J., et al.. (2017). Metabolic engineering of Saccharomyces cerevisiae to produce a reduced viscosity oil from lignocellulose. Biotechnology for Biofuels. 10(1). 69–69. 17 indexed citations
13.
Ong, Rebecca G., Alan Higbee, Dan Xie, et al.. (2016). Inhibition of microbial biofuel production in drought-stressed switchgrass hydrolysate. Biotechnology for Biofuels. 9(1). 237–237. 35 indexed citations
14.
Piotrowski, Jeff S., Yaoping Zhang, Donna M. Bates, et al.. (2014). Death by a thousand cuts: the challenges and diverse landscape of lignocellulosic hydrolysate inhibitors. Frontiers in Microbiology. 5. 90–90. 72 indexed citations
15.
Wang, Di, et al.. (2010). Elimination of Rubisco alters the regulation of nitrogenase activity and increases hydrogen production in Rhodospirillum rubrum. International Journal of Hydrogen Energy. 35(14). 7377–7385. 67 indexed citations
16.
Zhang, Yaoping, Edward L. Pohlmann, Mary Conrad, & Gary P. Roberts. (2006). The poor growth of Rhodospirillum rubrum mutants lacking PII proteins is due to an excess of glutamine synthetase activity. Molecular Microbiology. 61(2). 497–510. 19 indexed citations
17.
Zhang, Yaoping, Robert H. Burris, Paul W. Ludden, & Gary P. Roberts. (2006). Regulation of nitrogen fixation in Azospirillum brasilense. FEMS Microbiology Letters. 152(2). 195–204. 61 indexed citations
18.
Zhou, Shiguo, Yaoping Zhang, Steve Goldstein, et al.. (2005). Whole-genome shotgun optical mapping of Rhodospirillum rubrum.. PubMed. 71(9). 5511–22. 3 indexed citations
19.
Zhang, Yaoping, Kitai Kim, Paul W. Ludden, & Gary P. Roberts. (2001). Isolation and characterization of draT mutants that have altered regulatory properties of dinitrogenase reductase ADP-ribosyltransferase in Rhodospirillum rubrum. Microbiology. 147(1). 193–202. 7 indexed citations
20.
Zhang, Yaoping, J Y Liang, & William N. Lipscomb. (1993). Structural Similarities between Fructose-1,6-bisphosphatase and Inositol Monophosphatase. Biochemical and Biophysical Research Communications. 190(3). 1080–1083. 39 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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