Zhengping Yi

2.1k total citations
52 papers, 1.6k citations indexed

About

Zhengping Yi is a scholar working on Molecular Biology, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Zhengping Yi has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 13 papers in Physiology and 9 papers in Psychiatry and Mental health. Recurrent topics in Zhengping Yi's work include Metabolism, Diabetes, and Cancer (15 papers), Adipose Tissue and Metabolism (11 papers) and Advanced Proteomics Techniques and Applications (7 papers). Zhengping Yi is often cited by papers focused on Metabolism, Diabetes, and Cancer (15 papers), Adipose Tissue and Metabolism (11 papers) and Advanced Proteomics Techniques and Applications (7 papers). Zhengping Yi collaborates with scholars based in United States, Denmark and China. Zhengping Yi's co-authors include Lawrence J. Mandarino, Benjamin P. Bowen, Natalie Lefort, Paul R. Langlais, Christian Meyer, Charles R. Flynn, Kurt Højlund, Hyonson Hwang, Elena A. De Filippis and Berhane Seyoum and has published in prestigious journals such as PLoS ONE, Diabetes and Scientific Reports.

In The Last Decade

Zhengping Yi

52 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengping Yi United States 24 1.0k 571 353 186 173 52 1.6k
Ilya Bederman United States 25 744 0.7× 387 0.7× 160 0.5× 264 1.4× 201 1.2× 59 1.6k
J. G. M. Huijmans Netherlands 26 867 0.8× 555 1.0× 207 0.6× 135 0.7× 170 1.0× 72 2.1k
David Cheillan France 25 886 0.8× 489 0.9× 387 1.1× 100 0.5× 168 1.0× 79 1.9k
Kevin Bullock United States 17 859 0.8× 421 0.7× 135 0.4× 119 0.6× 198 1.1× 32 1.5k
A Sewell Germany 24 756 0.7× 564 1.0× 182 0.5× 150 0.8× 136 0.8× 89 1.7k
Giovanni Duro Italy 24 492 0.5× 858 1.5× 193 0.5× 56 0.3× 352 2.0× 105 1.9k
Nobuo Sakura Japan 25 843 0.8× 470 0.8× 90 0.3× 218 1.2× 179 1.0× 102 2.1k
Ute Spiekerkoetter Germany 30 1.5k 1.4× 787 1.4× 163 0.5× 98 0.5× 169 1.0× 111 2.6k
Kevin Carpenter Australia 24 1.4k 1.4× 617 1.1× 140 0.4× 111 0.6× 159 0.9× 63 2.5k
Pu Fang United States 18 834 0.8× 204 0.4× 96 0.3× 135 0.7× 220 1.3× 28 1.9k

Countries citing papers authored by Zhengping Yi

Since Specialization
Citations

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

Fields of papers citing papers by Zhengping Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengping Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengping Yi. A scholar is included among the top collaborators of Zhengping Yi 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 Zhengping Yi. Zhengping Yi 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.
Liu, Yimin, et al.. (2025). A reference dataset of O-GlcNAc proteins in quadriceps skeletal muscle from mice. Glycobiology. 35(3). 1 indexed citations
2.
Yang, Zhao, Qi Chen, Jie‐Mei Wang, et al.. (2024). Inhalation exposure to airborne PM2.5 attenuates hepatic metabolic pathways through S-nitrosylation of the primary ER stress sensor. American Journal of Physiology-Cell Physiology. 328(1). C212–C226. 1 indexed citations
3.
4.
Li, Hainan, Megan M. O’Meara, Xiang Zhang, et al.. (2019). Ameliorating Methylglyoxal-Induced Progenitor Cell Dysfunction for Tissue Repair in Diabetes. Diabetes. 68(6). 1287–1302. 32 indexed citations
5.
Thamilselvan, Vijayalakshmi, et al.. (2019). Quantitative proteomics reveals novel interaction partners of Rac1 in pancreatic β-cells: Evidence for increased interaction with Rac1 under hyperglycemic conditions. Molecular and Cellular Endocrinology. 494. 110489–110489. 14 indexed citations
6.
Muzik, Otto, Paul Burghardt, Zhengping Yi, Ajay Kumar, & Berhane Seyoum. (2017). Successful metformin treatment of insulin resistance is associated with down-regulation of the kynurenine pathway. Biochemical and Biophysical Research Communications. 488(1). 29–32. 31 indexed citations
7.
Zhang, Xiangmin, Danjun Ma, Yue Qi, et al.. (2016). Quantitative proteomics reveals novel protein interaction partners of PP2A catalytic subunit in pancreatic β-cells. Molecular and Cellular Endocrinology. 424. 1–11. 16 indexed citations
8.
9.
Langlais, Paul R., et al.. (2012). Insulin-stimulated phosphorylation of protein phosphatase 1 regulatory subunit 12B revealed by HPLC-ESI-MS/MS. Proteome Science. 10(1). 52–52. 10 indexed citations
10.
Zhang, Xiangmin, Kurt Højlund, Moulun Luo, et al.. (2012). Novel tyrosine phosphorylation sites in rat skeletal muscle revealed by phosphopeptide enrichment and HPLC-ESI-MS/MS. Journal of Proteomics. 75(13). 4017–4026. 6 indexed citations
11.
Chao, Alex, Xiangmin Zhang, Danjun Ma, et al.. (2012). Site-specific phosphorylation of protein phosphatase 1 regulatory subunit 12A stimulated or suppressed by insulin. Journal of Proteomics. 75(11). 3342–3350. 13 indexed citations
12.
13.
Langlais, Paul R., Zhengping Yi, Jean Finlayson, et al.. (2011). Global IRS-1 phosphorylation analysis in insulin resistance. Diabetologia. 54(11). 2878–2889. 47 indexed citations
14.
Lopes, Luciana B., Colleen M. Brophy, Charles R. Flynn, et al.. (2010). A novel cell permeant peptide inhibitor of MAPKAP kinase II inhibits intimal hyperplasia in a human saphenous vein organ culture model. Journal of Vascular Surgery. 52(6). 1596–1607. 18 indexed citations
15.
Højlund, Kurt, Zhengping Yi, Natalie Lefort, et al.. (2009). Human ATP synthase beta is phosphorylated at multiple sites and shows abnormal phosphorylation at specific sites in insulin-resistant muscle. Diabetologia. 53(3). 541–551. 54 indexed citations
16.
Yi, Zhengping, Hyonson Hwang, Benjamin P. Bowen, et al.. (2007). Characterization of the Human Skeletal Muscle Proteome by One-dimensional Gel Electrophoresis and HPLC-ESI-MS/MS. Molecular & Cellular Proteomics. 7(2). 257–267. 103 indexed citations
17.
Yi, Zhengping, et al.. (2007). Identification of mouse hepatitis coronavirus A59 nucleocapsid protein phosphorylation sites. Virus Research. 126(1-2). 139–148. 29 indexed citations
18.
Flynn, Charles R., Elizabeth J. Furnish, Padmini Komalavilas, et al.. (2006). Phosphorylation and activation of a transducible recombinant form of human HSP20 in Escherichia coli. Protein Expression and Purification. 52(1). 50–58. 10 indexed citations
19.
Yi, Zhengping, et al.. (2004). Analysis of sequence–reactivity space for protein–protein interactions. Proteins Structure Function and Bioinformatics. 58(3). 661–671. 8 indexed citations
20.
Laskowski, M., M.A. Qasim, & Zhengping Yi. (2003). Additivity-based prediction of equilibrium constants for some protein–protein associations. Current Opinion in Structural Biology. 13(1). 130–139. 19 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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