Yi Shi

5.6k total citations · 1 hit paper
69 papers, 3.2k citations indexed

About

Yi Shi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Yi Shi has authored 69 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Infectious Diseases. Recurrent topics in Yi Shi's work include RNA Research and Splicing (14 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and RNA and protein synthesis mechanisms (9 papers). Yi Shi is often cited by papers focused on RNA Research and Splicing (14 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and RNA and protein synthesis mechanisms (9 papers). Yi Shi collaborates with scholars based in United States, China and United Kingdom. Yi Shi's co-authors include Brian T. Chait, Yufei Xiang, Zhe Sang, S P Goff, Kimona Ålin, Jun Qin, Dina Schneidman‐Duhovny, Michael P. Rout, Andrej Săli and Sham Nambulli and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yi Shi

64 papers receiving 3.2k citations

Hit Papers

Versatile and multivalent nanobodies efficiently neutrali... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Shi United States 31 2.3k 431 425 329 319 69 3.2k
Ezgi Karaca Türkiye 20 2.3k 1.0× 266 0.6× 302 0.7× 294 0.9× 90 0.3× 44 3.0k
V.N. Malashkevich United States 34 2.4k 1.0× 293 0.7× 673 1.6× 423 1.3× 126 0.4× 65 4.1k
Daniel R. Boutz United States 22 1.5k 0.7× 274 0.6× 191 0.4× 267 0.8× 103 0.3× 33 2.2k
Marc Graille France 36 3.1k 1.3× 391 0.9× 225 0.5× 239 0.7× 404 1.3× 93 3.7k
Daniel Boehringer Switzerland 38 4.7k 2.0× 458 1.1× 148 0.3× 229 0.7× 149 0.5× 105 6.0k
George M. C. Janssen Netherlands 37 2.3k 1.0× 499 1.2× 224 0.5× 915 2.8× 170 0.5× 82 4.1k
Sergey Y. Vakhrushev Denmark 38 3.7k 1.6× 619 1.4× 219 0.5× 1.1k 3.3× 170 0.5× 89 4.6k
Dustin J. Maly United States 39 2.3k 1.0× 345 0.8× 279 0.7× 219 0.7× 106 0.3× 118 4.3k
Catharina Steentoft Denmark 21 2.3k 1.0× 382 0.9× 128 0.3× 804 2.4× 94 0.3× 26 2.9k
Ludger Ständker Germany 30 1.3k 0.6× 94 0.2× 248 0.6× 469 1.4× 278 0.9× 94 2.6k

Countries citing papers authored by Yi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Shi. A scholar is included among the top collaborators of Yi 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 Yi Shi. Yi 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.
Zhong, Bei, et al.. (2025). Single-cell transcriptomic analysis reveals characteristic feature of macrophage reprogramming in liver Mallory-Denk bodies pathogenesis. Journal of Translational Medicine. 23(1). 77–77. 2 indexed citations
2.
Shen, Beibei, et al.. (2024). Deep brain stimulation on cognition in epilepsy: A concentration on learning and memory. Brain Research Bulletin. 219. 111134–111134. 2 indexed citations
3.
Singh, Digvijay, Neelesh Soni, Joshua Hutchings, et al.. (2024). The molecular architecture of the nuclear basket. Cell. 187(19). 5267–5281.e13. 37 indexed citations
4.
Akey, Christopher W., Ignacia Echeverria, Ilona Nudelman, et al.. (2023). Implications of a multiscale structure of the yeast nuclear pore complex. Molecular Cell. 83(18). 3283–3302.e5. 14 indexed citations
5.
Lu, Manman, Dmitri Toptygin, Yufei Xiang, et al.. (2022). The Magic of Linking Rings: Discovery of a Unique Photoinduced Fluorescent Protein Crosslink. Journal of the American Chemical Society. 144(24). 10809–10816. 7 indexed citations
6.
Yang, Haibo, Yumin Wang, Yufei Xiang, et al.. (2022). FMRP promotes transcription-coupled homologous recombination via facilitating TET1-mediated m5C RNA modification demethylation. Proceedings of the National Academy of Sciences. 119(12). e2116251119–e2116251119. 102 indexed citations
7.
Liu, Tingjun, Yi Shi, Hua Wang, Hongxing Shen, & Junyan Qu. (2022). The Nuclear Pore Complex 62 Suppression Inhibits Coxsackievirus B Replication and Inflammatory Response. Viral Immunology. 35(5). 381–385.
8.
Xiang, Yufei, Sham Nambulli, Zhengyun Xiao, et al.. (2020). Versatile and multivalent nanobodies efficiently neutralize SARS-CoV-2. Science. 370(6523). 1479–1484. 265 indexed citations breakdown →
9.
Ganesan, Sai J., Michael Feyder, Ilan E. Chemmama, et al.. (2020). Integrative structure and function of the yeast exocyst complex. Protein Science. 29(6). 1486–1501. 23 indexed citations
10.
Jishage, Miki, Xiaodi Yu, Yi Shi, et al.. (2018). Architecture of Pol II(G) and molecular mechanism of transcription regulation by Gdown1. Nature Structural & Molecular Biology. 25(9). 859–867. 24 indexed citations
11.
Teng, Yaqun, Tribhuwan Yadav, Mei-Han Duan, et al.. (2018). ROS-induced R loops trigger a transcription-coupled but BRCA1/2-independent homologous recombination pathway through CSB. Nature Communications. 9(1). 4115–4115. 132 indexed citations
12.
Shi, Yi, et al.. (2017). Potassium as a pluripotency-associated element identified through inorganic element profiling in human pluripotent stem cells. Scientific Reports. 7(1). 5005–5005. 7 indexed citations
13.
Liu, Yili, Xiaokui Guo, Yi Shi, et al.. (2016). Characterization of bacteriophage vB_AbaP_PD-AB9 infecting Acinetobacter baumannii with broad host range. Zhonghua jianyan yixue zazhi. 39(4). 296–300. 1 indexed citations
14.
Kim, Seung Joong, Javier Fernández-Martı́nez, Yi Shi, et al.. (2016). Molecular Architecture of the Nup82 Complex, the Cytoplasmic mRNA Export Platform in the Nuclear Pore Complex. Biophysical Journal. 110(3). 347a–347a. 1 indexed citations
15.
Shi, Yi, Javier Fernández-Martı́nez, Elina Tjioe, et al.. (2014). Structural Characterization by Cross-linking Reveals the Detailed Architecture of a Coatomer-related Heptameric Module from the Nuclear Pore Complex. Molecular & Cellular Proteomics. 13(11). 2927–2943. 130 indexed citations
16.
17.
Krenciute, Giedre, Shangfeng Liu, Nur Yucer, et al.. (2013). Nuclear BAG6-UBL4A-GET4 Complex Mediates DNA Damage Signaling and Cell Death. Journal of Biological Chemistry. 288(28). 20547–20557. 32 indexed citations
18.
Shi, Yi, Ping Xu, & Jun Qin. (2011). Ubiquitinated Proteome: Ready for Global?. Molecular & Cellular Proteomics. 10(5). R110.006882–R110.006882. 40 indexed citations
19.
Sun, Wenjing, Xiaojie Tan, Yi Shi, et al.. (2009). USP11 negatively regulates TNFα-induced NF-κB activation by targeting on IκBα. Cellular Signalling. 22(3). 386–394. 86 indexed citations
20.
Shi, Yi, Stephen Sullivan, Diana M. Pitterle, et al.. (1997). Mechanisms of MARCKS Gene Activation during XenopusDevelopment. Journal of Biological Chemistry. 272(46). 29290–29300. 16 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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