Ke Shi

8.6k total citations · 1 hit paper
123 papers, 5.8k citations indexed

About

Ke Shi is a scholar working on Molecular Biology, Infectious Diseases and Materials Chemistry. According to data from OpenAlex, Ke Shi has authored 123 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 25 papers in Infectious Diseases and 17 papers in Materials Chemistry. Recurrent topics in Ke Shi's work include RNA and protein synthesis mechanisms (22 papers), DNA and Nucleic Acid Chemistry (17 papers) and HIV Research and Treatment (12 papers). Ke Shi is often cited by papers focused on RNA and protein synthesis mechanisms (22 papers), DNA and Nucleic Acid Chemistry (17 papers) and HIV Research and Treatment (12 papers). Ke Shi collaborates with scholars based in United States, China and Switzerland. Ke Shi's co-authors include Hideki Aihara, Gang Ye, Fang Li, Qibin Geng, Jian Shang, Yushun Wan, Ashley A. Auerbach, Chuming Luo, Jian Pei and M. Sundaralingam and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ke Shi

116 papers receiving 5.8k citations

Hit Papers

align trajectories

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.

Structural basis of receptor recognition by SARS-CoV-2

2020 2.5k citations Jian Shang, Gang Ye et al. Nature profile →

Peers

Ke Shi

ID

MB

EEE

MC

PP

David W. Wright United States

Xian‐En Zhang China

Stefan T. Arold Saudi Arabia

Andreas Hofmann Australia

S. Gnanakaran United States

Min Lu United States

Deping Wang China

Richard O’Kennedy Ireland

Chung‐Yi Wu Taiwan

C. Russell Middaugh United States

David W. Wright United States

Ke Shi

552 ×0.2

ID

2.0k ×0.9

MB

494 ×0.7

EEE

1.1k ×1.6

MC

155 ×0.3

PP

Citations per year, relative to Ke Shi Ke Shi (= 1×) peers David W. Wright

Countries citing papers authored by Ke Shi

Since Specialization

Citations

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

Fields of papers citing papers by Ke Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Shi. A scholar is included among the top collaborators of Ke 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 Ke Shi. Ke Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Greenberg, L., Ke Shi, Hideki Aihara, et al.. (2025). Crystal structure of a seven-substitution mutant of hydroxynitrile lyase from rubber tree. Acta Crystallographica Section F Structural Biology Communications. 81(9). 398–405.

2.

Shi, Ke, et al.. (2025). Directed Evolution of Xylanase from Dickeya dadantii DCE-01 with Improved Enzymatic Activity. Polymers. 17(19). 2650–2650.

3.

Li, Fuying, et al.. (2025). Ferroptosis and necroptosis may be involved in the formation and progression of hydrofluoric acid burn wounds: Results from an RNA-Seq analysis. Burns. 51(5). 107513–107513.

4.

Shi, Ke, Xing Li, Zhiwei Zhou, et al.. (2024). Modular solar interfacial evaporation and crystallization– Functional partitioning. Chemical Engineering Journal. 486. 150229–150229. 22 indexed citations

5.

Moghadasi, Seyed Arad, et al.. (2024). A compact stem-loop DNA aptamer targets a uracil-binding pocket in the SARS-CoV-2 nucleocapsid RNA-binding domain. Nucleic Acids Research. 52(21). 13138–13151. 6 indexed citations

6.

Shi, Ke, et al.. (2024). Structural basis for raccoon dog receptor recognition by SARS-CoV-2. PLoS Pathogens. 20(5). e1012204–e1012204. 5 indexed citations

7.

Anderson, Michael J., Ke Shi, Eric J. Aird, et al.. (2024). Molecular basis of proteolytic cleavage regulation by the extracellular matrix receptor dystroglycan. Structure. 32(11). 1984–1996.e5. 2 indexed citations

8.

Zhang, Chen, et al.. (2023). xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark. 5579–5601.

9.

Talledge, Nathaniel, Huixin Yang, Ke Shi, et al.. (2023). HIV-2 Immature Particle Morphology Provides Insights into Gag Lattice Stability and Virus Maturation. Journal of Molecular Biology. 435(15). 168143–168143. 5 indexed citations

10.

Li, Xing, Jiawei Ren, Zhiwei Zhou, et al.. (2023). Emerging heat-localized solar distillation systems: Solar interfacial distillation VS photothermal membrane distillation. Desalination. 572. 117147–117147. 37 indexed citations

11.

Smithwick, Elizabeth M., et al.. (2023). Understanding ATP Binding to DosS Catalytic Domain with a Short ATP-Lid. Biochemistry. 62(22). 3283–3292. 3 indexed citations

12.

Bera, Sibes, Ke Shi, Hideki Aihara, Duane P. Grandgenett, & Krishan K. Pandey. (2023). Molecular determinants for Rous sarcoma virus intasome assemblies involved in retroviral integration. Journal of Biological Chemistry. 299(6). 104730–104730.

13.

Zhang, Wei, Ke Shi, Qibin Geng, et al.. (2023). Structural evolution of SARS-CoV-2 omicron in human receptor recognition. Journal of Virology. 97(8). e0082223–e0082223. 15 indexed citations

14.

Shi, Ke, Özlem Demir, Surajit Banerjee, et al.. (2022). Structure and dynamics of SARS-CoV-2 proofreading exoribonuclease ExoN. Proceedings of the National Academy of Sciences. 119(9). 85 indexed citations

15.

Geng, Qibin, Ke Shi, Gang Ye, et al.. (2022). Structural Basis for Human Receptor Recognition by SARS-CoV-2 Omicron Variant BA.1. Journal of Virology. 96(8). e0024922–e0024922. 47 indexed citations

16.

Zhang, Wei, Ke Shi, Qibin Geng, et al.. (2022). Structural basis for mouse receptor recognition by SARS-CoV-2 omicron variant. Proceedings of the National Academy of Sciences. 119(44). e2206509119–e2206509119. 33 indexed citations

17.

Ye, Gang, Jian Zheng, Ke Shi, et al.. (2021). The development of Nanosota-1 as anti-SARS-CoV-2 nanobody drug candidates. eLife. 10. 40 indexed citations

18.

Houtti, Mo, Eric J. Aird, Andrew T. Nelson, et al.. (2020). Molecular underpinnings of ssDNA specificity by Rep HUH-endonucleases and implications for HUH-tag multiplexing and engineering. Nucleic Acids Research. 49(2). 1046–1064. 26 indexed citations

19.

Shang, Jian, Gang Ye, Ke Shi, et al.. (2020). Structural basis of receptor recognition by SARS-CoV-2. Nature. 581(7807). 221–224. 2514 indexed citations breakdown →

20.

Cui, Huarui, Anil K. Pandey, Ke Shi, et al.. (2020). Selective N‐Terminal BET Bromodomain Inhibitors by Targeting Non‐Conserved Residues and Structured Water Displacement**. Angewandte Chemie International Edition. 60(3). 1220–1226. 36 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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