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

Ben C. Chung
Comparison fields: 5 of 76
  • Molecular Biology 590
  • Sensory Systems 162
  • Cellular and Molecular Neuroscience 124
  • Cardiology and Cardiovascular Medicine 121
  • Genetics 99
Ying‐Duo Gao United States
Mercedes Martín‐Martínez Spain
Gina M. Clayton United States
Zhijian Wang China
Appu K. Singh United States
Carsten Zeilinger Germany
Yuliya V. Korolkova Russia
Maximilian C. C. J. C. Ebert Canada
Roberta Lucciarini Italy
Thomas Ryckmans United Kingdom
Ying‐Duo Gao United States View profile →
Citations per field, relative to Ben C. Chung
Ben C. Chung · 1×
Citations per year, relative to Ben C. Chung
Ben C. Chung · 1×

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
# Work Indexed citations
1 1
2 8
3 60
4 94
5 215
6 5
7 83
8 168
9 133
10 24

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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2026