Dong Jin Chung

1.4k total citations
69 papers, 823 citations indexed

About

Dong Jin Chung is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Dong Jin Chung has authored 69 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Molecular Biology and 17 papers in Surgery. Recurrent topics in Dong Jin Chung's work include Diabetes Management and Research (9 papers), Diabetes and associated disorders (8 papers) and Pancreatic function and diabetes (8 papers). Dong Jin Chung is often cited by papers focused on Diabetes Management and Research (9 papers), Diabetes and associated disorders (8 papers) and Pancreatic function and diabetes (8 papers). Dong Jin Chung collaborates with scholars based in South Korea, United States and United Kingdom. Dong Jin Chung's co-authors include Min Young Chung, Jin Ook Chung, Dong Hyeok Cho, Roberto Civitelli, Seon‐Young Park, Joseph P. Stains, Charlles Heldan de Moura Castro, Martin Theis, Vera Lúcia Szejnfeld and Marcus P. Watkins and has published in prestigious journals such as Diabetes, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Dong Jin Chung

65 papers receiving 802 citations

Peers

Dong Jin Chung
Comparison fields: 5 of 98
  • Molecular Biology 314
  • Endocrinology, Diabetes and Metabolism 252
  • Physiology 121
  • Epidemiology 116
  • Surgery 112
Replace Min Young Chung with:
Min Young Chung South Korea
Jin Ook Chung South Korea
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Engın Güney Türkiye
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Min Young Chung South Korea View profile →
Citations per field, relative to Dong Jin Chung
Dong Jin Chung · 1×
Citations per year, relative to Dong Jin Chung
Dong Jin Chung · 1×

Countries citing papers authored by Dong Jin Chung

Since Specialization
Citations

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

Fields of papers citing papers by Dong Jin Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Jin Chung

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 3
4 4
5 3
6 14
7 8
8 9
9 18
10 10
11 15
12 18
13 14
14 1
15
Association between ultrasonographic visceral fat indices and cardiovascular risk factors in type 2 diabetic patients
5
16
Association of carotid atherosclerosis and obesity in type 2 diabetic patients
0
17
Relationship between clinical course and measures of atherosclerosis in diabetic foot
1
18 16
19 32
20
Vitamin D Receptor Gene Polymorphisms and Bone Mineral Density in Korean Women.
1

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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