Hachung Chung

18 total papers · 2.8k total citations
12 papers, 2.1k citations indexed

About

Hachung Chung is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Hachung Chung has authored 12 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Hachung Chung's work include RNA Research and Splicing (4 papers), RNA regulation and disease (4 papers) and interferon and immune responses (3 papers). Hachung Chung is often cited by papers focused on RNA Research and Splicing (4 papers), RNA regulation and disease (4 papers) and interferon and immune responses (3 papers). Hachung Chung collaborates with scholars based in United States, Denmark and Russia. Hachung Chung's co-authors include Dennis L. Kasper, Erin B. Troy, Eduardo J. Villablanca, Jonathan A. Hill, Diane Mathis, Nicola C. Reading, Christophe Benoıst, Neeraj K. Surana, David A. Relman and Yoshinori Umesaki and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Reviews Molecular Cell Biology.

In The Last Decade

Hachung Chung

12 papers receiving 2.0k citations

Hit Papers

Gut Immune Maturation Dep... 2012 2026 2016 2021 2012 2018 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hachung Chung 1.5k 523 481 186 183 12 2.1k
Yuk Man Lei 1.8k 1.2× 643 1.2× 552 1.1× 123 0.7× 237 1.3× 11 3.0k
Hiroko Nagao‐Kitamoto 1.3k 0.9× 397 0.8× 352 0.7× 168 0.9× 189 1.0× 26 2.3k
Zachary M. Earley 1.9k 1.3× 618 1.2× 565 1.2× 131 0.7× 257 1.4× 6 3.2k
Ernesto Peréz-Chanona 2.0k 1.3× 271 0.5× 492 1.0× 147 0.8× 259 1.4× 18 2.7k
Xinqun Wu 2.0k 1.4× 562 1.1× 620 1.3× 167 0.9× 280 1.5× 21 3.1k
Lance W. Peterson 1.3k 0.9× 829 1.6× 269 0.6× 147 0.8× 188 1.0× 10 2.6k
Sarah Tomkovich 1.9k 1.3× 281 0.5× 516 1.1× 116 0.6× 289 1.6× 24 2.6k
Adriana Ortiz-Lopez 1.1k 0.7× 966 1.8× 398 0.8× 75 0.4× 136 0.7× 14 2.2k
Craig M. Bielski 1.3k 0.9× 184 0.4× 390 0.8× 256 1.4× 119 0.7× 11 2.0k
Christopher N. Reyes 1.2k 0.8× 934 1.8× 594 1.2× 91 0.5× 226 1.2× 11 2.5k

Countries citing papers authored by Hachung Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hachung Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hachung Chung

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

All Works

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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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