Zhongping Tan

3.1k total citations
63 papers, 2.4k citations indexed

About

Zhongping Tan is a scholar working on Molecular Biology, Organic Chemistry and Biotechnology. According to data from OpenAlex, Zhongping Tan has authored 63 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 35 papers in Organic Chemistry and 10 papers in Biotechnology. Recurrent topics in Zhongping Tan's work include Glycosylation and Glycoproteins Research (32 papers), Chemical Synthesis and Analysis (28 papers) and Carbohydrate Chemistry and Synthesis (26 papers). Zhongping Tan is often cited by papers focused on Glycosylation and Glycoproteins Research (32 papers), Chemical Synthesis and Analysis (28 papers) and Carbohydrate Chemistry and Synthesis (26 papers). Zhongping Tan collaborates with scholars based in United States, China and United Kingdom. Zhongping Tan's co-authors include Samuel J. Danishefsky, Shiying Shang, Virginia W. Cornish, Anthony Forster, Yaohao Li, Stephen C. Blacklow, Gregg T. Beckham, Xiaoyang Guan, Suwei Dong and Måns Ehrenberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Zhongping Tan

58 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongping Tan United States 29 2.1k 950 307 238 232 63 2.4k
Jiantao Guo United States 30 2.2k 1.0× 552 0.6× 251 0.8× 217 0.9× 122 0.5× 91 2.6k
Kerry R. Love United States 23 1.4k 0.7× 425 0.4× 239 0.8× 201 0.8× 134 0.6× 48 1.6k
Xiaozhou Luo China 22 1.2k 0.6× 263 0.3× 214 0.7× 217 0.9× 138 0.6× 72 1.9k
Duraikkannu Loganathan India 21 1.6k 0.8× 803 0.8× 118 0.4× 342 1.4× 119 0.5× 64 2.2k
Liuqing Wen China 21 1.1k 0.5× 788 0.8× 158 0.5× 108 0.5× 126 0.5× 63 1.4k
Frédéric Schmidt France 25 933 0.4× 500 0.5× 156 0.5× 121 0.5× 83 0.4× 76 1.9k
Lothar Elling Germany 33 2.6k 1.2× 1.4k 1.5× 290 0.9× 118 0.5× 667 2.9× 162 3.4k
Hiroshi Hinou Japan 31 2.0k 0.9× 1.2k 1.3× 120 0.4× 413 1.7× 114 0.5× 108 2.4k
Jingyao Qu United States 22 1.2k 0.6× 793 0.8× 134 0.4× 92 0.4× 198 0.9× 44 1.5k
Kalyan R. Anumula United States 20 1.4k 0.7× 601 0.6× 137 0.4× 380 1.6× 114 0.5× 39 1.9k

Countries citing papers authored by Zhongping Tan

Since Specialization
Citations

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

Fields of papers citing papers by Zhongping Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongping Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongping Tan. A scholar is included among the top collaborators of Zhongping Tan 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 Zhongping Tan. Zhongping Tan 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.
Li, Yaohao, Dan Liu, Ruihan Wang, et al.. (2025). Deciphering the significant impact of natural glycosylation on human insulin. Acta Pharmaceutica Sinica B. 15(11). 5880–5890.
2.
3.
Fu, Min, Ruihan Wang, Yaohao Li, et al.. (2024). Improved one-pot protein synthesis enabled by a more precise assessment of peptide arylthioester reactivity. Chinese Chemical Letters. 36(7). 110542–110542.
4.
Chen, Chao, Yefei Wang, Qiu Cui, et al.. (2023). Structural insight into why S-linked glycosylation cannot adequately mimic the role of natural O-glycosylation. International Journal of Biological Macromolecules. 253(Pt 1). 126649–126649. 5 indexed citations
6.
Ma, Bo, Feng Tang, Shiying Shang, et al.. (2023). Development of a by-product-free strategy for the synthesis of oxazoline from N-acetylglucosamine. New Journal of Chemistry. 47(20). 9532–9535. 1 indexed citations
7.
He, Pan, et al.. (2023). Approaches related to the synthesis of Fmoc-Ser/Thr[GalNAc(Ac) 3 -α-D]-OH. Journal of Carbohydrate Chemistry. 42(7-9). 223–251. 2 indexed citations
8.
Shandell, Mia, Zhongping Tan, & Virginia W. Cornish. (2021). Genetic Code Expansion: A Brief History and Perspective. Biochemistry. 60(46). 3455–3469. 103 indexed citations
9.
Li, Yaohao, Xiaoyang Guan, Yuan Ruan, et al.. (2020). Carbohydrate-binding module O-mannosylation alters binding selectivity to cellulose and lignin. Chemical Science. 11(34). 9262–9271. 17 indexed citations
10.
Guan, Xiaoyang, et al.. (2018). Using Chemical Synthesis To Study and Apply Protein Glycosylation. Biochemistry. 57(4). 413–428. 25 indexed citations
11.
Guan, Xiaoyang, et al.. (2017). Multimodal Recognition of Diverse Peptides by the C-Terminal SH2 Domain of Phospholipase C-γ1 Protein. Biochemistry. 56(16). 2225–2237. 6 indexed citations
12.
Guan, Xiaoyang, Xiuli Wei, Daniel R. Gulbranson, et al.. (2017). Chemically Precise Glycoengineering Improves Human Insulin. ACS Chemical Biology. 13(1). 73–81. 29 indexed citations
13.
Guan, Xiaoyang, et al.. (2017). Quantitative Effects of O-Linked Glycans on Protein Folding. Biochemistry. 56(34). 4539–4548. 15 indexed citations
14.
Guan, Xiaoyang, Chao Chen, Yuan Ruan, et al.. (2017). Structural Insight into the Stabilizing Effect of O-Glycosylation. Biochemistry. 56(23). 2897–2906. 30 indexed citations
15.
Guan, Xiaoyang, Huan Chen, Feng Wei, et al.. (2017). O-GalNAcylation of RANTES Improves Its Properties as a Human Immunodeficiency Virus Type 1 Entry Inhibitor. Biochemistry. 57(1). 136–148. 8 indexed citations
16.
Amore, Antonella, Brandon C. Knott, Nitin T. Supekar, et al.. (2017). Distinct roles of N- and O-glycans in cellulase activity and stability. Proceedings of the National Academy of Sciences. 114(52). 13667–13672. 76 indexed citations
17.
Guan, Xiaoyang, Chen Zeng, Eric R. Greene, et al.. (2015). Molecular-scale features that govern the effects of O-glycosylation on a carbohydrate-binding module. Chemical Science. 6(12). 7185–7189. 28 indexed citations
18.
Tan, Zhongping, Shiying Shang, & Samuel J. Danishefsky. (2011). Rational development of a strategy for modifying the aggregatibility of proteins. Proceedings of the National Academy of Sciences. 108(11). 4297–4302. 49 indexed citations
19.
Pavlov, Michael Y., Richard E. Watts, Zhongping Tan, et al.. (2008). Slow peptide bond formation by proline and other N -alkylamino acids in translation. Proceedings of the National Academy of Sciences. 106(1). 50–54. 256 indexed citations
20.
Forster, Anthony, Zhongping Tan, M.N.L. Nalam, et al.. (2003). Programming peptidomimetic syntheses by translating genetic codes designed de novo. Proceedings of the National Academy of Sciences. 100(11). 6353–6357. 160 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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