Soonkyu Chung

4.4k total citations
102 papers, 3.5k citations indexed

About

Soonkyu Chung is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Soonkyu Chung has authored 102 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Physiology, 37 papers in Epidemiology and 29 papers in Molecular Biology. Recurrent topics in Soonkyu Chung's work include Adipose Tissue and Metabolism (45 papers), Adipokines, Inflammation, and Metabolic Diseases (27 papers) and Cholesterol and Lipid Metabolism (17 papers). Soonkyu Chung is often cited by papers focused on Adipose Tissue and Metabolism (45 papers), Adipokines, Inflammation, and Metabolic Diseases (27 papers) and Cholesterol and Lipid Metabolism (17 papers). Soonkyu Chung collaborates with scholars based in United States, China and Denmark. Soonkyu Chung's co-authors include Meshail Okla, Michael McIntosh, Inhae Kang, John S. Parks, J. Mark Brown, Liwei Gu, Karsten Koehler, Rong Fan, Arion Kennedy and Ashley M. Toney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Soonkyu Chung

98 papers receiving 3.5k citations

Peers

Soonkyu Chung
Comparison fields: 5 of 115
  • Physiology 1.3k
  • Molecular Biology 1.3k
  • Nutrition and Dietetics 950
  • Epidemiology 938
  • Surgery 506
Replace Young‐Cheul Kim with:
Young‐Cheul Kim United States
Peter Zahradka Canada
Arion Kennedy United States
Long Yi China
Ouliana Ziouzenkova United States
Nishan S. Kalupahana Sri Lanka
Luisa Siculella Italy
Shinji Ikemoto Japan
Arunabh Bhattacharya United States
Christopher N. Blesso United States
Young‐Cheul Kim United States View profile →
Citations per field, relative to Soonkyu Chung
Soonkyu Chung · 1×
Citations per year, relative to Soonkyu Chung
Soonkyu Chung · 1×

Countries citing papers authored by Soonkyu Chung

Since Specialization
Citations

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

Fields of papers citing papers by Soonkyu Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soonkyu Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Soonkyu Chung. A scholar is included among the top collaborators of Soonkyu 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 Soonkyu Chung. Soonkyu 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 5
3 2
4 13
5 7
6 30
7 90
8 16
9 34
10 24
11 75
12 9
13 144
14 13
15 155
16 91
17 29
18 79
19 45
20 136

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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