Wan Sub Shim

621 citations
22 papers · 465 · h-index 12

Impact in

Papers in

Wan Sub Shim

18 papers receiving 452 citations

Peers

Wan Sub Shim
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 113
  • Biochemistry 39
  • Physiology 130
  • Endocrine and Autonomic Systems 31
  • Epidemiology 133
Replace Anna Konior with:
Anna Konior Poland
Krzysztof Kurek Poland
Diptadip Dattaroy United States
Monica Holbrook United States
Girish Kewalramani Canada
Heike Serke Germany
Juan Carlos Perazzo Argentina
Ludmila Kazdová Czechia
Audrey Ayer France
Leslie A. Knaub United States
Wan Sub Shim relative to Anna Konior Poland Anna Konior's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wan Sub Shim

Since Specialization
Citations

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

Fields of papers citing papers by Wan Sub Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan Sub Shim. 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 Wan Sub Shim. The network helps show where Wan Sub Shim may publish in the future.

Co-authors

The 25 scholars most cited alongside Wan Sub Shim, 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 Wan Sub Shim Line = papers co-authored together Wan Sub Shim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200693
2 200791
3 200646
4 200542
5 200641
6 200631
7 200828
8 200623
9 200619
10 200613
11 200611
12 200811
13
Clinical Meaning of Postprandial Insulin Secretory Function in Korean Type 2 Diabetes Mellitus.
20055
14 20073
15 20063
16 20052
17 20062
18
The Association of Family History of Diabetes and Obesity in the Development of Type 2 Diabetes
20051
19
A Case of Thyroid Papillary Cancer Associated with Familial Adenomatous Polyposis.
20040
20
The Relationship between Metabolic Syndrome and Small Dense Low Density Lipoprotein-Cholesterol.
20050

About Wan Sub Shim

Wan Sub Shim is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology and Surgery, having authored 22 papers that have together received 465 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (4 papers), Diabetes Management and Research (3 papers), Regulation of Appetite and Obesity (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes Management and Education (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (113 citations), Biochemistry (39 citations), Physiology (130 citations), Endocrine and Autonomic Systems (31 citations) and Epidemiology (133 citations). Wan Sub Shim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Bong Soo, Chul Woo Ahn, Eun Seok Kang, Hyun Chul Lee, Tae Woo Jung, Ji Young Lee, Soo Kyung Kim, Sung Kil Lim, Hae Jin Kim and Jongsun Kim. Their work appears in journals such as Biochemical and Biophysical Research Communications, Diabetes Research and Clinical Practice, European Journal of Endocrinology, Journal of the Neurological Sciences and Diabetes Obesity and 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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