Ben C. Chung

1.1k total citations
10 papers, 791 citations indexed

About

Ben C. Chung is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ben C. Chung has authored 10 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ben C. Chung's work include Ion channel regulation and function (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Bacteriophages and microbial interactions (2 papers). Ben C. Chung is often cited by papers focused on Ion channel regulation and function (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Bacteriophages and microbial interactions (2 papers). Ben C. Chung collaborates with scholars based in United States, Taiwan and Japan. Ben C. Chung's co-authors include Seok‐Yong Lee, Geoffrey S. Pitt, Hai Yan, Chaojian Wang, Lejla Zubcevic, Mark A. Herzik, Gabriel C. Lander, Zhi-Rui Liu, Jiyong Hong and Pei Zhou and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Ben C. Chung

10 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben C. Chung United States 8 590 162 124 121 99 10 791
Ying‐Duo Gao United States 20 779 1.3× 123 0.8× 267 2.2× 87 0.7× 171 1.7× 27 1.3k
Mercedes Martín‐Martínez Spain 21 723 1.2× 67 0.4× 171 1.4× 42 0.3× 45 0.5× 70 1.1k
Gina M. Clayton United States 11 438 0.7× 18 0.1× 236 1.9× 75 0.6× 139 1.4× 12 790
Zhijian Wang China 18 623 1.1× 25 0.2× 71 0.6× 51 0.4× 58 0.6× 38 834
Appu K. Singh United States 15 624 1.1× 618 3.8× 321 2.6× 36 0.3× 42 0.4× 22 1.1k
Carsten Zeilinger Germany 18 567 1.0× 33 0.2× 69 0.6× 16 0.1× 54 0.5× 50 880
Yuliya V. Korolkova Russia 19 725 1.2× 113 0.7× 173 1.4× 331 2.7× 226 2.3× 39 967
Maximilian C. C. J. C. Ebert Canada 14 364 0.6× 105 0.6× 37 0.3× 7 0.1× 27 0.3× 23 706
Roberta Lucciarini Italy 16 356 0.6× 357 2.2× 106 0.9× 12 0.1× 20 0.2× 20 887
Thomas Ryckmans United Kingdom 15 499 0.8× 43 0.3× 102 0.8× 13 0.1× 28 0.3× 29 877

Countries citing papers authored by Ben C. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Ben C. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben C. Chung. 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 Ben C. Chung. The network helps show where Ben C. Chung may publish in the future.

Co-authorship network of co-authors of Ben C. Chung

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

All Works

10 of 10 papers shown
2.
Min, Xiaoshan, Junming Yie, Jinghong Wang, et al.. (2020). Molecular mechanism of an antagonistic antibody against glucose-dependent insulinotropic polypeptide receptor. mAbs. 12(1). 1710047–1710047. 8 indexed citations
3.
Yu, Xinchao, Kaylee Choi, Ben C. Chung, et al.. (2020). Cryo-EM structures of NPC1L1 reveal mechanisms of cholesterol transport and ezetimibe inhibition. Science Advances. 6(25). eabb1989–eabb1989. 60 indexed citations
4.
Chung, Ben C., Ellene H. Mashalidis, Tetsuya Tanino, et al.. (2016). Structural insights into inhibition of lipid I production in bacterial cell wall synthesis. Nature. 533(7604). 557–560. 94 indexed citations
5.
Zubcevic, Lejla, Mark A. Herzik, Ben C. Chung, et al.. (2016). Cryo-electron microscopy structure of the TRPV2 ion channel. Nature Structural & Molecular Biology. 23(2). 180–186. 215 indexed citations
6.
Chung, Ben C., Jinshi Zhao, Ziqiang Guan, et al.. (2014). Crystal Structure of MraY, an Essential Membrane Enzyme for Bacterial Cell Wall Synthesis. Biophysical Journal. 106(2). 14a–14a. 5 indexed citations
7.
Wang, Chaojian, Ben C. Chung, Hai Yan, et al.. (2014). Structural analyses of Ca2+/CaM interaction with NaV channel C-termini reveal mechanisms of calcium-dependent regulation. Nature Communications. 5(1). 4896–4896. 83 indexed citations
8.
Chung, Ben C., Jinshi Zhao, Robert A. Gillespie, et al.. (2013). Crystal Structure of MraY, an Essential Membrane Enzyme for Bacterial Cell Wall Synthesis. Science. 341(6149). 1012–1016. 168 indexed citations
9.
Wang, Chaojian, Ben C. Chung, Hai Yan, Seok‐Yong Lee, & Geoffrey S. Pitt. (2012). Crystal Structure of the Ternary Complex of a NaV C-Terminal Domain, a Fibroblast Growth Factor Homologous Factor, and Calmodulin. Structure. 20(7). 1167–1176. 133 indexed citations
10.
Sue, Shih‐Che, et al.. (2005). Solution Structure of the Arabidopsis thaliana Telomeric Repeat-binding Protein DNA Binding Domain: A New Fold with an Additional C-terminal Helix. Journal of Molecular Biology. 356(1). 72–85. 24 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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