Jian Shi

4.7k total citations · 1 hit paper
93 papers, 3.2k citations indexed

About

Jian Shi is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jian Shi has authored 93 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 16 papers in Infectious Diseases and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jian Shi's work include RNA and protein synthesis mechanisms (12 papers), Mosquito-borne diseases and control (12 papers) and Viral Infections and Vectors (11 papers). Jian Shi is often cited by papers focused on RNA and protein synthesis mechanisms (12 papers), Mosquito-borne diseases and control (12 papers) and Viral Infections and Vectors (11 papers). Jian Shi collaborates with scholars based in United States, Singapore and China. Jian Shi's co-authors include Shee‐Mei Lok, Thiam‐Seng Ng, V.A. Kostyuchenko, G. Fibriansah, Shuijun Zhang, Justin S. G. Ooi, Grant J. Jensen, Anthony P. Albert, Elisa X. Y. Lim and Phoebe L. Stewart and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jian Shi

90 papers receiving 3.1k citations

Hit Papers

Structure of the thermally stable Zika virus 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Shi United States 32 1.4k 749 643 588 330 93 3.2k
Michael B. Sherman United States 37 2.1k 1.5× 1.3k 1.8× 965 1.5× 299 0.5× 211 0.6× 96 4.5k
Kildare Miranda Brazil 35 1.7k 1.2× 698 0.9× 579 0.9× 1.7k 2.9× 108 0.3× 118 3.9k
Pradeep D. Uchil United States 27 1.9k 1.3× 964 1.3× 775 1.2× 694 1.2× 354 1.1× 68 5.1k
Kenneth H. Roux United States 48 3.2k 2.3× 913 1.2× 347 0.5× 680 1.2× 393 1.2× 152 9.2k
Katharina Ribbeck United States 44 4.6k 3.2× 289 0.4× 259 0.4× 424 0.7× 322 1.0× 87 7.0k
Michelle A. Dunstone Australia 32 1.2k 0.8× 389 0.5× 460 0.7× 316 0.5× 194 0.6× 51 3.2k
Jia Wang China 32 2.0k 1.4× 429 0.6× 93 0.1× 331 0.6× 234 0.7× 167 4.3k
Reinhard Wirth Germany 36 2.0k 1.4× 955 1.3× 322 0.5× 260 0.4× 847 2.6× 79 3.6k
Steffen Mueller United States 31 1.8k 1.2× 1.0k 1.4× 274 0.4× 604 1.0× 479 1.5× 53 3.7k
Michel Ledizet United States 27 1.7k 1.2× 768 1.0× 893 1.4× 295 0.5× 450 1.4× 52 3.5k

Countries citing papers authored by Jian Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jian Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Shi. A scholar is included among the top collaborators of Jian 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 Jian Shi. Jian 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.
Cai, Shujun, et al.. (2025). Nanoscale analysis of human G1 and metaphase chromatin in situ. The EMBO Journal. 44(9). 2658–2694. 9 indexed citations
2.
Cai, Shujun, et al.. (2025). Macromolecular and cytological changes in fission yeast G0 nuclei. Journal of Cell Science. 138(6). 2 indexed citations
3.
Li, W., Jian Shi, Xiaojun Lu, et al.. (2025). Identification of the LCOR-PLCL1 pathway that restrains lipid accumulation and tumor progression in clear cell renal cell carcinoma. International Journal of Biological Sciences. 21(5). 2296–2312.
4.
Cai, Shujun, et al.. (2023). Heterogeneous non-canonical nucleosomes predominate in yeast cells in situ. eLife. 12. 14 indexed citations
5.
Cai, Shujun, et al.. (2023). Heterogeneous non-canonical nucleosomes predominate in yeast cells in situ. eLife. 12. 18 indexed citations
6.
Machida, Satoru, et al.. (2023). Structural Basis for the Enzymatic Activity of the HACE1 HECT‐Type E3 Ligase Through N‐Terminal Helix Dimerization. Advanced Science. 10(27). e2207672–e2207672. 6 indexed citations
7.
Fibriansah, G., Elisa X. Y. Lim, Jan K. Marzinek, et al.. (2021). Antibody affinity versus dengue morphology influences neutralization. PLoS Pathogens. 17(2). e1009331–e1009331. 6 indexed citations
8.
Chee, See Wee, et al.. (2021). A data reduction and compression description for high throughput time-resolved electron microscopy. Nature Communications. 12(1). 664–664. 19 indexed citations
9.
Fox, Julie M., James T. Earnest, Thiam‐Seng Ng, et al.. (2020). Structural basis of Chikungunya virus inhibition by monoclonal antibodies. Proceedings of the National Academy of Sciences. 117(44). 27637–27645. 43 indexed citations
10.
Cai, Shujun, et al.. (2018). Natural chromatin is heterogeneous and self-associates in vitro. Molecular Biology of the Cell. 29(13). 1652–1663. 28 indexed citations
11.
Cai, Shujun, et al.. (2018). Cryo-ET reveals the macromolecular reorganization of S. pombe mitotic chromosomes in vivo. Proceedings of the National Academy of Sciences. 115(43). 10977–10982. 57 indexed citations
12.
Kumar, Veerendra, Yichen Ding, Rya Ero, et al.. (2018). Ribosome protection by antibiotic resistance ATP-binding cassette protein. Proceedings of the National Academy of Sciences. 115(20). 5157–5162. 75 indexed citations
13.
Skennerton, Connor T., Mohamed Fauzi Haroon, Ariane Briegel, et al.. (2016). Phylogenomic analysis of Candidatus ‘Izimaplasma’ species: free-living representatives from a Tenericutes clade found in methane seeps. The ISME Journal. 10(11). 2679–2692. 65 indexed citations
14.
Chen, Chen, Hong Hwa Lim, Jian Shi, et al.. (2016). Budding yeast chromatin is dispersed in a crowded nucleoplasm in vivo. Molecular Biology of the Cell. 27(21). 3357–3368. 57 indexed citations
15.
Zhang, Shuijun, V.A. Kostyuchenko, Thiam‐Seng Ng, et al.. (2016). Neutralization mechanism of a highly potent antibody against Zika virus. Nature Communications. 7(1). 13679–13679. 86 indexed citations
16.
Davis, Alison, Jian Shi, Harry A. T. Pritchard, et al.. (2012). Potent vasorelaxant activity of the TMEM16A inhibitor T16A inh ‐A01 . British Journal of Pharmacology. 168(3). 773–784. 83 indexed citations
17.
Ju, Min, Jian Shi, Sohag Saleh, Anthony P. Albert, & W. A. Large. (2010). Ins(1,4,5)P3 interacts with PIP2 to regulate activation of TRPC6/C7 channels by diacylglycerol in native vascular myocytes. The Journal of Physiology. 588(9). 1419–1433. 41 indexed citations
18.
Suloway, Christian, Jian Shi, Anchi Cheng, et al.. (2009). Fully automated, sequential tilt-series acquisition with Leginon. Journal of Structural Biology. 167(1). 11–18. 149 indexed citations
19.
Stubbs, Gerald, Amy Kendall, Michele McDonald, et al.. (2008). Flexible filamentous virus structures from fiber diffraction. Powder Diffraction. 23(2). 113–117. 2 indexed citations
20.
Halasa, Natasha, et al.. (2008). Poor Immune Responses to a Birth Dose of Diphtheria, Tetanus, and Acellular Pertussis Vaccine. The Journal of Pediatrics. 153(3). 327–332.e1. 94 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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