Pan Shi

1.5k total citations
32 papers, 1.0k citations indexed

About

Pan Shi is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pan Shi has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Spectroscopy and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pan Shi's work include Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Receptor Mechanisms and Signaling (5 papers). Pan Shi is often cited by papers focused on Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Receptor Mechanisms and Signaling (5 papers). Pan Shi collaborates with scholars based in China, United States and United Kingdom. Pan Shi's co-authors include Changlin Tian, Sing Kiong Nguang, Xue Guo, Zhanyu Ding, Yao Cong, Jianxiong Xiao, Jiawei Wang, Guohong Li, Xiaotong Yin and Jie Li and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Molecular Cell.

In The Last Decade

Pan Shi

30 papers receiving 997 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Shi China 15 764 115 97 65 60 32 1.0k
William Y. C. Huang United States 17 793 1.0× 23 0.2× 32 0.3× 53 0.8× 43 0.7× 48 1.2k
Sheng‐Bo Fan China 11 875 1.1× 18 0.2× 69 0.7× 61 0.9× 24 0.4× 21 1.3k
Yoon Sup Choi South Korea 9 632 0.8× 9 0.1× 87 0.9× 37 0.6× 73 1.2× 12 870
Jianwen A. Feng United States 15 348 0.5× 15 0.1× 20 0.2× 120 1.8× 18 0.3× 27 779
Ann C. Babtie United Kingdom 13 876 1.1× 11 0.1× 74 0.8× 40 0.6× 12 0.2× 18 1.2k
Samuel Coulbourn Flores United States 18 758 1.0× 21 0.2× 82 0.8× 23 0.4× 58 1.0× 33 939
J. R. Einstein United States 15 365 0.5× 32 0.3× 20 0.2× 30 0.5× 20 0.3× 48 603
Zhaozhao Li China 9 209 0.3× 12 0.1× 48 0.5× 41 0.6× 30 0.5× 11 422
Adnan Sljoka Canada 14 582 0.8× 28 0.2× 13 0.1× 15 0.2× 148 2.5× 30 777
Anastasios Matzavinos United States 14 408 0.5× 13 0.1× 51 0.5× 158 2.4× 47 0.8× 30 857

Countries citing papers authored by Pan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Pan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Shi. A scholar is included among the top collaborators of Pan Shi 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 Pan Shi. Pan Shi 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, Yong, Yi Zhang, Chaowei Shi, et al.. (2025). 19F NMR chemical shift encoded peptide screening targeting the potassium channel Kv1.3. Chemical Communications. 61(33). 6162–6165. 1 indexed citations
2.
Li, Yingge, et al.. (2024). Structural insights into somatostatin receptor 5 bound with cyclic peptides. Acta Pharmacologica Sinica. 45(11). 2432–2440. 1 indexed citations
3.
Li, Hao, Jin Zhang, Zilong Wang, Pan Shi, & Chaowei Shi. (2024). Genetically encoded site-specific 19F unnatural amino acid incorporation in V. natriegens for in-cell NMR analysis. Protein Expression and Purification. 219. 106461–106461. 2 indexed citations
4.
Yang, Fan, Yingge Li, Huanhuan Zhang, et al.. (2022). Structural insights into the activation of somatostatin receptor 2 by cyclic SST analogues. Cell Discovery. 8(1). 47–47. 28 indexed citations
5.
Li, Yanjing, Yuebin Zhang, Ping Wu, et al.. (2022). Structural basis for product specificities of MLL family methyltransferases. Molecular Cell. 82(20). 3810–3825.e8. 13 indexed citations
6.
Zhao, Rui, Pan Shi, Chaowei Shi, et al.. (2022). Single‐Shot Solid‐Phase Synthesis of Full‐Length H2 Relaxin Disulfide Surrogates. Angewandte Chemie International Edition. 62(6). e202216365–e202216365. 18 indexed citations
7.
Ling, Shenglong, Pan Shi, Sanling Liu, et al.. (2021). Structural mechanism of cooperative activation of the human calcium-sensing receptor by Ca2+ ions and L-tryptophan. Cell Research. 31(4). 383–394. 61 indexed citations
8.
Sun, Demeng, Sanling Liu, Siyu Li, et al.. (2020). Structural insights into human acid-sensing ion channel 1a inhibition by snake toxin mambalgin1. eLife. 9. 40 indexed citations
9.
Zhao, Rui, Pan Shi, S. S. Sun, et al.. (2020). Chemical synthesis and biological activity of peptides incorporating an ether bridge as a surrogate for a disulfide bond. Chemical Science. 11(30). 7927–7932. 31 indexed citations
10.
11.
Zhang, Yanan, Fan Yang, Shenglong Ling, et al.. (2020). Single-particle cryo-EM structural studies of the β2AR–Gs complex bound with a full agonist formoterol. Cell Discovery. 6(1). 45–45. 25 indexed citations
12.
Zhu, Kang, Xing Chen, Yuqun Cai, et al.. (2017). Allosteric auto‐inhibition and activation of the Nedd4 family E3 ligase Itch. EMBO Reports. 18(9). 1618–1630. 56 indexed citations
13.
Li, Yanjing, Jianming Han, Yuebin Zhang, et al.. (2016). Structural basis for activity regulation of MLL family methyltransferases. Nature. 530(7591). 447–452. 171 indexed citations
14.
Li, Dong, Juan Li, Longhua Zhang, et al.. (2015). Nano-size uni-lamellar lipodisq improved in situ auto-phosphorylation analysis of E. coli tyrosine kinase using 19F nuclear magnetic resonance. Protein & Cell. 6(3). 229–233. 13 indexed citations
15.
Guo, Xue, Ling Wang, Jie Li, et al.. (2014). Structural insight into autoinhibition and histone H3-induced activation of DNMT3A. Nature. 517(7536). 640–644. 255 indexed citations
16.
Shi, Pan, et al.. (2013). Intracellular segment between transmembrane helices S0 and S1 of BK channel α subunit contains two amphipathic helices connected by a flexible loop. Biochemical and Biophysical Research Communications. 437(3). 408–412. 5 indexed citations
17.
Li, Fahui, Pan Shi, Jiasong Li, et al.. (2013). A Genetically Encoded 19 F NMR Probe for Tyrosine Phosphorylation. Angewandte Chemie International Edition. 52(14). 3958–3962. 41 indexed citations
18.
Shi, Pan, Dong Li, Hongwei Chen, et al.. (2012). In situ19F NMR studies of an E. coli membrane protein. Protein Science. 21(4). 596–600. 23 indexed citations
19.
Shi, Pan, et al.. (2011). Site-specific solvent exposure analysis of a membrane protein using unnatural amino acids and 19F nuclear magnetic resonance. Biochemical and Biophysical Research Communications. 414(2). 379–383. 5 indexed citations
20.
Shi, Pan, Hu Wang, Zhaoyong Xi, et al.. (2010). Site‐specific 19F NMR chemical shift and side chain relaxation analysis of a membrane protein labeled with an unnatural amino acid. Protein Science. 20(1). 224–228. 30 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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