Jay H. Chung

9.8k citations
73 papers · 7.7k indexed · 6 hit papers · h-index 34

Impact in

Papers in

Jay H. Chung

71 papers receiving 7.6k citations

Hit Papers

Molecular mechanisms of mitochondrial DNA release and activation of the cGAS-STING pathway 2023 · 205 citations
20519932026200420152505007501000

Peers

Jay H. Chung
Comparison fields: 5 of 118
  • Geriatrics and Gerontology 1.3k
  • Aging 258
  • Molecular Biology 5.1k
  • Endocrine and Autonomic Systems 479
  • Physiology 1.5k
Replace Mark Leid with:
Mark Leid United States
Eugenia Morselli Chile
Qiwei Zhai China
Alfredo Criollo Chile
Tadahiro Kitamura Japan
Seung‐Hoi Koo South Korea
James Mu United States
Angela Woods United Kingdom
Bertrand Joseph Sweden
Norman Moullan Switzerland
Jay H. Chung relative to Mark Leid United States Mark Leid's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Jay H. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Jay H. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay H. 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 Jay H. Chung Line = papers co-authored together Jay H. Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2
Molecular mechanisms of mitochondrial DNA release and activation of the cGAS-STING pathway
Hit paper breakdown →
2023205
3 20223
4 20214
5 202111
6 20207
7
VDAC oligomers form mitochondrial pores to release mtDNA fragments and promote lupus-like disease
Hit paper breakdown →
2019511
8 201918
9 201827
10 201731
11
Advances in targeting cyclic nucleotide phosphodiesterases
Hit paper breakdown →
2014599
12 201211
13 2009103
14 200750
15 200639
16 200637
17 2002124
18 20015
19 20001
20 198791

About Jay H. Chung

Jay H. Chung is a scholar working on Geriatrics and Gerontology, Physiology, Aging, Molecular Biology and Biophysics, having authored 73 papers that have together received 7.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (17 papers), Sirtuins and Resveratrol in Medicine (13 papers), Genomics and Chromatin Dynamics (11 papers), Mitochondrial Function and Pathology (8 papers), CRISPR and Genetic Engineering (8 papers), Calcium signaling and nucleotide metabolism (8 papers), Adipose Tissue and Metabolism (8 papers) and Autophagy in Disease and Therapy (7 papers). The work is most often cited by research in Geriatrics and Gerontology (1.3k citations), Aging (258 citations), Molecular Biology (5.1k citations), Endocrine and Autonomic Systems (479 citations) and Physiology (1.5k citations). Jay H. Chung has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Gary Felsenfeld, Myung K. Kim, Alexandra L. Brown, Mary Whiteley, Chang Hun Lee, Faiyaz Ahmad, Hengming Ke, Vincent C. Manganiello, Hyeog Kang and Shutong Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Cell, Cancer Research and PLoS ONE.

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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