Jun-Jae Chung
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
-
- Renal and related cancers 2
- Single-cell and spatial transcriptomics 2
- Epigenetics and DNA Methylation 1
-
- Renal Diseases and Glomerulopathies 3
- Chronic Kidney Disease and Diabetes 2
- Co-authors
- Jae Bum Kim (4 shared papers)Myeong Jin Yoon (1 shared paper)Young Ho Ahn (1 shared paper)Gha Young Lee (1 shared paper)Seung Hwan Hong (1 shared paper)Andréy S. Shaw (6 shared papers)Sung Sik Choe (2 shared papers)Kang Ho Kim (2 shared papers)
- Journals
- Diabetes (2 papers)Journal of the American Society of Nephrology (1 paper)Nature Protocols (1 paper)PLoS ONE (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Jun-Jae Chung
11 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Nephrology 183
- Physiology 357
- Endocrine and Autonomic Systems 74
- Epidemiology 332
- Geriatrics and Gerontology 28
Countries citing papers authored by Jun-Jae Chung
This map shows the geographic impact of Jun-Jae 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 Jun-Jae Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Jae Chung more than expected).
Fields of papers citing papers by Jun-Jae Chung
This network shows the impact of papers produced by Jun-Jae 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 Jun-Jae Chung. The network helps show where Jun-Jae Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Jae Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 465 | |
| 2 | 2006 | 154 | |
| 3 | 2020 | 133 | |
| 4 | 2009 | 124 | |
| 5 | 2021 | 79 | |
| 6 | 2007 | 74 | |
| 7 | 2015 | 74 | |
| 8 | 2017 | 52 | |
| 9 | 2007 | 23 | |
| 10 | 2014 | 15 | |
| 11 | 2021 | 9 |
About Jun-Jae Chung
Jun-Jae Chung is a scholar working on Molecular Biology, Nephrology, Epidemiology, Physiology and Surgery, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Renal and related cancers (2 papers), Single-cell and spatial transcriptomics (2 papers), Epigenetics and DNA Methylation (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Nephrology (183 citations), Physiology (357 citations), Endocrine and Autonomic Systems (74 citations), Epidemiology (332 citations) and Geriatrics and Gerontology (28 citations). Jun-Jae Chung has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Jae Bum Kim, Myeong Jin Yoon, Young Ho Ahn, Gha Young Lee, Seung Hwan Hong, Andréy S. Shaw, Sung Sik Choe, Kang Ho Kim, Eung Jae Yoo and Shimrit Avraham. Their work appears in journals such as Diabetes, Journal of the American Society of Nephrology, Nature Protocols, PLoS ONE and JCI Insight.
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.