Jimin Pei

13.6k total citations · 5 hit papers
96 papers, 9.4k citations indexed

About

Jimin Pei is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Jimin Pei has authored 96 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 21 papers in Materials Chemistry and 11 papers in Genetics. Recurrent topics in Jimin Pei's work include Protein Structure and Dynamics (25 papers), RNA and protein synthesis mechanisms (22 papers) and Enzyme Structure and Function (20 papers). Jimin Pei is often cited by papers focused on Protein Structure and Dynamics (25 papers), RNA and protein synthesis mechanisms (22 papers) and Enzyme Structure and Function (20 papers). Jimin Pei collaborates with scholars based in United States, United Kingdom and China. Jimin Pei's co-authors include Nick V. Grishin, Bong-Hyun Kim, Lisa N. Kinch, Masato Kato, Steven L. McKnight, Shanhai Xie, Hamid Mirzaei, Tina W. Han, Leeju C. Wu and Yingming Zhao and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jimin Pei

94 papers receiving 9.3k citations

Hit Papers

Cell-free Formation of RNA Granules: Low Complexity Seque... 2006 2026 2012 2019 2012 2006 2008 2012 2009 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jimin Pei United States 37 7.5k 891 857 692 632 96 9.4k
Florian Gnad Germany 37 11.3k 1.5× 530 0.6× 909 1.1× 1.7k 2.4× 1.9k 3.1× 54 13.6k
Jinrong Min Canada 50 8.7k 1.2× 372 0.4× 1.0k 1.2× 294 0.4× 850 1.3× 185 10.2k
Kosuke Morikawa Japan 56 7.7k 1.0× 1.1k 1.2× 1.8k 2.2× 591 0.9× 371 0.6× 196 9.0k
Martina Schnölzer Germany 54 5.6k 0.8× 200 0.2× 572 0.7× 898 1.3× 1.2k 1.9× 174 9.0k
Boris Maček Germany 55 10.7k 1.4× 665 0.7× 1.7k 1.9× 1.6k 2.2× 1.1k 1.8× 203 14.7k
Judit Villén United States 53 16.1k 2.1× 438 0.5× 889 1.0× 2.7k 3.9× 1.5k 2.4× 105 19.6k
Daniel Schwartz United States 25 4.5k 0.6× 297 0.3× 371 0.4× 739 1.1× 693 1.1× 48 5.9k
Ileana M. Cristea United States 56 5.6k 0.7× 170 0.2× 757 0.9× 791 1.1× 828 1.3× 190 9.4k
Lea Sistonen Finland 58 9.5k 1.3× 227 0.3× 665 0.8× 2.6k 3.7× 913 1.4× 137 11.8k
Ryuichiro Ishitani Japan 60 10.7k 1.4× 540 0.6× 1.7k 1.9× 504 0.7× 1.3k 2.1× 150 13.3k

Countries citing papers authored by Jimin Pei

Since Specialization
Citations

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

Fields of papers citing papers by Jimin Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jimin Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Jimin Pei. A scholar is included among the top collaborators of Jimin Pei 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 Jimin Pei. Jimin Pei 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, Jing, Andriy Kryshtafovych, Jimin Pei, et al.. (2025). Assessment of Protein Complex Predictions in CASP16 : Are We Making Progress?. Proteins Structure Function and Bioinformatics. 94(1). 106–130.
2.
Pei, Jimin, Antonina Andreeva, Sara Chuguransky, et al.. (2024). Bridging the Gap between Sequence and Structure Classifications of Proteins with AlphaFold Models. Journal of Molecular Biology. 436(22). 168764–168764. 5 indexed citations
3.
Fu, Botao, Jimin Pei, & Huaijun Ji. (2024). Numerical simulation of three-dimensional seepage field in a tailing pond under multiple operating conditions. Scientific Reports. 14(1). 28027–28027. 2 indexed citations
4.
Zhang, Jing, et al.. (2023). Recent advances in predicting and modeling protein–protein interactions. Trends in Biochemical Sciences. 48(6). 527–538. 36 indexed citations
5.
Pei, Jimin & Qian Cong. (2023). Computational analysis of regulatory regions in human protein kinases. Protein Science. 32(10). e4764–e4764. 3 indexed citations
6.
Schaeffer, R. Dustin, et al.. (2023). Pathogenic mutation hotspots in protein kinase domain structure. Protein Science. 32(9). e4750–e4750. 6 indexed citations
7.
Pei, Jimin & Qian Cong. (2023). AFTM: a database of transmembrane regions in the human proteome predicted by AlphaFold. Database. 2023. 5 indexed citations
8.
Schaeffer, R. Dustin, Jing Zhang, Lisa N. Kinch, et al.. (2023). Classification of domains in predicted structures of the human proteome. Proceedings of the National Academy of Sciences. 120(12). 20 indexed citations
9.
Pei, Jimin, Jing Zhang, & Qian Cong. (2022). Human mitochondrial protein complexes revealed by large-scale coevolution analysis and deep learning-based structure modeling. Bioinformatics. 38(18). 4301–4311. 28 indexed citations
10.
Liu, Yanjie, Jimin Pei, Nick V. Grishin, & William J. Snell. (2015). The cytoplasmic domain of the gamete membrane fusion protein HAP2 targets the protein to the fusion site in Chlamydomonas and regulates the fusion reaction. Development. 142(5). 962–71. 30 indexed citations
11.
Tong, Jing, Ruslan I. Sadreyev, Jimin Pei, Lisa N. Kinch, & Nick V. Grishin. (2015). Using homology relations within a database markedly boosts protein sequence similarity search. Proceedings of the National Academy of Sciences. 112(22). 7003–7008. 8 indexed citations
12.
Pei, Jimin & Nick V. Grishin. (2015). C2H2 zinc finger proteins of the SP/KLF, Wilms tumor, EGR, Huckebein, and Klumpfuss families in metazoans and beyond. Gene. 573(1). 91–99. 22 indexed citations
13.
Xu, Darui, et al.. (2014). LocNES: a computational tool for locating classical NESs in CRM1 cargo proteins. Bioinformatics. 31(9). 1357–1365. 108 indexed citations
14.
Liao, Yuxing, Jimin Pei, Hua Cheng, & Nick V. Grishin. (2014). An Ancient Autoproteolytic Domain Found in GAIN, ZU5 and Nucleoporin98. Journal of Molecular Biology. 426(24). 3935–3945. 11 indexed citations
15.
Pei, Jimin & Nick V. Grishin. (2013). A New Family of Predicted Krüppel-Like Factor Genes and Pseudogenes in Placental Mammals. PLoS ONE. 8(11). e81109–e81109. 43 indexed citations
16.
Han, Tina W., Masato Kato, Shanhai Xie, et al.. (2012). Cell-free Formation of RNA Granules: Bound RNAs Identify Features and Components of Cellular Assemblies. Cell. 149(4). 768–779. 639 indexed citations breakdown →
17.
Pei, Jimin & Nick V. Grishin. (2011). Unexpected diversity in Shisa-like proteins suggests the importance of their roles as transmembrane adaptors. Cellular Signalling. 24(3). 758–769. 52 indexed citations
18.
Pei, Jimin, Bong-Hyun Kim, & Nick V. Grishin. (2008). PROMALS3D: a tool for multiple protein sequence and structure alignments. Nucleic Acids Research. 36(7). 2295–2300. 1044 indexed citations breakdown →
19.
Kim, Sung Chan, Robert W. Sprung, Yue Chen, et al.. (2006). Substrate and Functional Diversity of Lysine Acetylation Revealed by a Proteomics Survey. Molecular Cell. 23(4). 607–618. 1233 indexed citations breakdown →
20.
Cai, Wei, Jimin Pei, & Nick V. Grishin. (2004). Reconstruction of ancestral protein sequences and its applications. BMC Evolutionary Biology. 4(1). 33–33. 96 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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