Jin Huk Choi

1.5k total citations
37 papers, 783 citations indexed

About

Jin Huk Choi is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Jin Huk Choi has authored 37 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Genetics. Recurrent topics in Jin Huk Choi's work include Viral Infections and Outbreaks Research (5 papers), Immune Response and Inflammation (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Jin Huk Choi is often cited by papers focused on Viral Infections and Outbreaks Research (5 papers), Immune Response and Inflammation (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Jin Huk Choi collaborates with scholars based in United States, South Korea and Sweden. Jin Huk Choi's co-authors include Maria A. Croyle, Bruce Beutler, Eva Marie Y. Moresco, Xiaoming Zhan, Xue Zhong, Lijing Su, Tao Wang, Xiaohong Li, Alexander N. Freiberg and Yuanqing Ma and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jin Huk Choi

36 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Huk Choi United States 14 384 228 147 114 91 37 783
Neeraj Kapoor United States 11 536 1.4× 298 1.3× 128 0.9× 155 1.4× 73 0.8× 23 853
Ana‐Maria Dragoi United States 13 392 1.0× 422 1.9× 63 0.4× 91 0.8× 70 0.8× 25 934
Kurt Lackovic Australia 12 353 0.9× 139 0.6× 90 0.6× 95 0.8× 69 0.8× 23 843
Nathalie Carayol France 18 477 1.2× 191 0.8× 71 0.5× 60 0.5× 105 1.2× 20 883
Bettina Tippler Germany 15 239 0.6× 186 0.8× 110 0.7× 193 1.7× 98 1.1× 25 688
Chantal Bou‐Hanna France 16 323 0.8× 184 0.8× 82 0.6× 104 0.9× 75 0.8× 23 726
Kanury V. S. Rao India 20 453 1.2× 411 1.8× 112 0.8× 184 1.6× 57 0.6× 36 1.0k
Youn Tae Kwak United States 11 709 1.8× 269 1.2× 226 1.5× 89 0.8× 141 1.5× 11 1.1k
Che A. Stafford Germany 12 537 1.4× 446 2.0× 99 0.7× 158 1.4× 53 0.6× 16 908
Alain Guimond Canada 12 673 1.8× 236 1.0× 157 1.1× 86 0.8× 56 0.6× 19 1.1k

Countries citing papers authored by Jin Huk Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jin Huk Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Huk Choi. 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 Jin Huk Choi. The network helps show where Jin Huk Choi may publish in the future.

Co-authorship network of co-authors of Jin Huk Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Huk Choi. A scholar is included among the top collaborators of Jin Huk Choi 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 Jin Huk Choi. Jin Huk Choi 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, Xue, Yan Yin, Jianhui Wang, et al.. (2025). Structural insights into the ubiquitin-independent midnolin-proteasome pathway. Proceedings of the National Academy of Sciences. 122(19). e2505345122–e2505345122. 3 indexed citations
2.
Zhong, Xue, James J. Moresco, Jeffrey A. SoRelle, et al.. (2024). Disruption of the ZFP574–THAP12 complex suppresses B cell malignancies in mice. Proceedings of the National Academy of Sciences. 121(31). e2409232121–e2409232121. 2 indexed citations
3.
Zhong, Xue, James J. Moresco, Jianhui Wang, et al.. (2024). Viable mutations of mouse midnolin suppress B cell malignancies. The Journal of Experimental Medicine. 221(6). 11 indexed citations
4.
Song, Ran, William McAlpine, Evan Nair‐Gill, et al.. (2023). Trans-Golgi protein TVP23B regulates host-microbe interactions via Paneth cell homeostasis and Goblet cell glycosylation. Nature Communications. 14(1). 3652–3652. 8 indexed citations
5.
Zhong, Xue, et al.. (2023). Essential requirement for IER3IP1 in B cell development. Proceedings of the National Academy of Sciences. 120(46). e2312810120–e2312810120. 3 indexed citations
6.
Zhong, Xue, James J. Moresco, Jolene K. Diedrich, et al.. (2023). Essential role of MFSD1-GLMP-GIMAP5 in lymphocyte survival and liver homeostasis. Proceedings of the National Academy of Sciences. 120(50). e2314429120–e2314429120. 4 indexed citations
7.
Zhong, Xue, Jianhui Wang, James J. Moresco, et al.. (2023). OVOL2 sustains postnatal thymic epithelial cell identity. Nature Communications. 14(1). 7786–7786. 3 indexed citations
8.
Zhong, Xue, Jin Huk Choi, Sara Hildebrand, et al.. (2022). RNPS1 inhibits excessive tumor necrosis factor/tumor necrosis factor receptor signaling to support hematopoiesis in mice. Proceedings of the National Academy of Sciences. 119(18). e2200128119–e2200128119. 9 indexed citations
9.
Yue, Tao, Xiaoming Zhan, Duanwu Zhang, et al.. (2021). SLFN2 protection of tRNAs from stress-induced cleavage is essential for T cell–mediated immunity. Science. 372(6543). 59 indexed citations
10.
11.
Choi, Jin Huk, Jonghee Han, Xue Zhong, et al.. (2020). Essential requirement for nicastrin in marginal zone and B-1 B cell development. Proceedings of the National Academy of Sciences. 117(9). 4894–4901. 14 indexed citations
12.
Zhong, Xue, Lijing Su, Yi Yang, et al.. (2020). Genetic and structural studies of RABL3 reveal an essential role in lymphoid development and function. Proceedings of the National Academy of Sciences. 117(15). 8563–8572. 13 indexed citations
13.
Choi, Jin Huk, Xue Zhong, Zhao Zhang, et al.. (2020). Essential cell-extrinsic requirement for PDIA6 in lymphoid and myeloid development. The Journal of Experimental Medicine. 217(4). 14 indexed citations
14.
Wang, Kuan-Wen, Xiaoming Zhan, William McAlpine, et al.. (2019). Enhanced susceptibility to chemically induced colitis caused by excessive endosomal TLR signaling in LRBA-deficient mice. Proceedings of the National Academy of Sciences. 116(23). 11380–11389. 17 indexed citations
15.
Zhang, Duanwu, Tao Yue, Jin Huk Choi, et al.. (2019). Syndromic immune disorder caused by a viable hypomorphic allele of spliceosome component Snrnp40. Nature Immunology. 20(10). 1322–1334. 8 indexed citations
16.
McAlpine, William, Jin Huk Choi, Sara Ludwig, et al.. (2018). The class I myosin MYO1D binds to lipid and protects against colitis. Disease Models & Mechanisms. 11(9). 9 indexed citations
17.
Choi, Jin Huk, Kuan-Wen Wang, Duanwu Zhang, et al.. (2017). IgD class switching is initiated by microbiota and limited to mucosa-associated lymphoid tissue in mice. Proceedings of the National Academy of Sciences. 114(7). E1196–E1204. 40 indexed citations
18.
Wang, Ying, Lijing Su, Matthew D. Morin, et al.. (2016). TLR4/MD-2 activation by a synthetic agonist with no similarity to LPS. Proceedings of the National Academy of Sciences. 113(7). E884–93. 135 indexed citations
19.
20.
Choi, Jin Huk, Woon Kyu Lee, Seung Hyun Han, et al.. (2008). Identification and characterization of nonapeptide targeting a human B cell lymphoma, Raji. International Immunopharmacology. 8(6). 852–858. 6 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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