Soo Heon Kwak

22.2k citations
135 papers · 4.2k indexed · 1 hit paper · h-index 33
Topics
Pancreatic function and diabetes (30 papers)Gestational Diabetes Research and Management (28 papers)Genetic Associations and Epidemiology (26 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism

In The Last Decade

Soo Heon Kwak

123 papers receiving 4.1k citations

Hit Papers

Increasing Prevalence of Metabolic Syndrome in Korea20112026201620212011100200300400500

Peers

Soo Heon Kwak
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Molecular Biology 1.2k
  • Surgery 898
  • Obstetrics and Gynecology 856
  • Epidemiology 709
Replace David R. McCance with:
David R. McCance United Kingdom
Ester Vitacolonna Italy
K. Bridget Brosnihan United States
Rudolf Prager Austria
Giuseppe Seghieri Italy
Mike Sampson United Kingdom
Dimitrios N. Kiortsis Greece
Petra Verhoef Netherlands
Konstantinos A. Toulis Greece
Helmut O. Steinberg United States
Soo Heon Kwak relative to David R. McCance United Kingdom David R. McCance's profile →
Citations per field
00.5×5.4×
David R. McCance · 1×
Citations per year

Countries citing papers authored by Soo Heon Kwak

Since Specialization
Citations

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

Fields of papers citing papers by Soo Heon Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo Heon Kwak. 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 Soo Heon Kwak. The network helps show where Soo Heon Kwak may publish in the future.

Co-authorship network of co-authors of Soo Heon Kwak

This figure shows the co-authorship network connecting the top 25 collaborators of Soo Heon Kwak. A scholar is included among the top collaborators of Soo Heon Kwak 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 Soo Heon Kwak. Soo Heon Kwak 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
#WorkIndexed citations
1 5
2 1
3 1
4 4
5 16
6 6
7 1
8 0
9 2
10 1
11 19
12 12
13 31
14 23
15 12
16 16
17 3
18 13
19 6
20 1

About Soo Heon Kwak

Soo Heon Kwak is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 135 papers that have together received 4.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (30 papers), Gestational Diabetes Research and Management (28 papers) and Genetic Associations and Epidemiology (26 papers). The work is most often cited by research in Obstetrics and Gynecology (856 citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Biochemistry (199 citations). Soo Heon Kwak has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Kyong Soo Park, Hak Chul Jang, Young Min Cho, Sung Hee Choi, Soo Lim, Hong-Kyu Lee, Tae Jung Oh, Hye Seung Jung, Hong Kyu Lee and Young‐Man Cho. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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