Chris Chung

1.1k citations
9 papers · 862 · h-index 9

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV/AIDS drug development and treatment 7
    • HIV/AIDS Research and Interventions 5
    • HIV Research and Treatment 7

Chris Chung

9 papers receiving 840 citations

Peers

Chris Chung
Comparison fields: 5 of 63
  • Virology 585
  • Infectious Diseases 521
  • Developmental Neuroscience 22
  • Immunology 106
  • Emergency Medicine 39
Replace Frédéric Théodoro with:
Frédéric Théodoro France
Paul Bock United States
Therese Cvetkovich United States
Jennifer Chiarella United States
L M Baca United States
Lisa LaFranco-Scheuch United States
Ronald Schut United States
Joann Cutilli United States
Sucheep Piyasirisilp United States
Ann Thorkelson United States
Chris Chung relative to Frédéric Théodoro France Frédéric Théodoro's profile →
Citations per field
00.5×3.7×
Frédéric Théodoro · 1×
Citations per year

Countries citing papers authored by Chris Chung

Since Specialization
Citations

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

Fields of papers citing papers by Chris Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chris Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Chung Line = papers co-authored together Chris Chung links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2000148
2 2006132
3 2005115
4 2002112
5 2003100
6 199776
7 200369
8 200369
9 200241

About Chris Chung

Chris Chung is a scholar working on Infectious Diseases, Virology, Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 9 papers that have together received 862 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (7 papers), HIV Research and Treatment (7 papers), HIV/AIDS Research and Interventions (5 papers), Immune Cell Function and Interaction (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Anesthesia and Neurotoxicity Research (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Virology (585 citations), Infectious Diseases (521 citations), Developmental Neuroscience (22 citations), Immunology (106 citations) and Emergency Medicine (39 citations). Chris Chung has collaborated with scholars based in United States. Frequent co-authors include Martin Markowitz, David D. Ho, Arlene Hurley, Viviana Simon, Linqi Zhang, He Tian, Alan S. Perelson, Bharat Ramratnam, Christine Hogan and Michael J. Louie. Their work appears in journals such as Journal of Virology, JAIDS Journal of Acquired Immune Deficiency Syndromes, The Journal of Infectious Diseases, The Lancet and Brain Research.

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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