Jun-Jae Chung

1.5k citations
12 papers · 1.3k · h-index 10

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
  • Physiology top 10%
    • Adipose Tissue and Metabolism

Papers in

    • Renal Diseases and Glomerulopathies 4
    • Chronic Kidney Disease and Diabetes 2
    • Adipose Tissue and Metabolism 3

Jun-Jae Chung

12 papers receiving 1.3k citations

Peers

Jun-Jae Chung
Comparison fields: 5 of 84
  • Nephrology 198
  • Physiology 370
  • Endocrine and Autonomic Systems 76
  • Epidemiology 341
  • Geriatrics and Gerontology 28
Replace Zhuofeng Lin with:
Zhuofeng Lin China
Katrin Brodbeck Germany
Hisao Wakasaki Japan
Satish RamachandraRao United States
Suozhu Shi China
Olga Gealekman United States
Carole Hénique France
Nuria Matesanz Spain
Jiao Mu China
Meenalakshmi M. Mariappan United States
Jun-Jae Chung relative to Zhuofeng Lin China Zhuofeng Lin's profile →
Citations per field
00.5×2×2.7×
Zhuofeng Lin · 1×
Citations per year

Countries citing papers authored by Jun-Jae Chung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

12 of 12 papers shown
#Work
1 2006475
2 2006163
3 2020141
4 2009129
5 202190
6 200781
7 201578
8 201761
9 200725
10 201415
11 201710
12 202110

About Jun-Jae Chung

Jun-Jae Chung is a scholar working on Nephrology, Physiology, Pathology and Forensic Medicine, Molecular Biology and Epidemiology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Renal and related cancers (2 papers), Single-cell and spatial transcriptomics (2 papers), Histone Deacetylase Inhibitors Research (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Nephrology (198 citations), Physiology (370 citations), Endocrine and Autonomic Systems (76 citations), Epidemiology (341 citations) and Geriatrics and Gerontology (28 citations). Jun-Jae Chung has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Jae Bum Kim, Myeong Jin Yoon, Young Ho Ahn, Seung Hwan Hong, Gha Young Lee, Andréy S. Shaw, Sung Sik Choe, Kang Ho Kim, Eung Jae Yoo and Ben Korin. Their work appears in journals such as Diabetes, Science, Nature Reviews Nephrology, Cancer Research and Diabetes Research and Clinical Practice.

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.

Explore authors with similar magnitude of impact