Won Jun Kim

553 citations
16 papers · 188 · h-index 8

Impact in

Papers in

    • Gut microbiota and health 3
    • Advanced biosensing and bioanalysis techniques 1
    • Protein Degradation and Inhibitors 1
    • Adipose Tissue and Metabolism 3

Won Jun Kim

13 papers receiving 177 citations

Peers

Won Jun Kim
Comparison fields: 5 of 56
  • Geriatrics and Gerontology 32
  • Endocrinology, Diabetes and Metabolism 51
  • Ophthalmology 27
  • Physiology 11
  • Physiology 51
Replace Akira Kawamoto with:
Akira Kawamoto Japan
Lamia Amoura France
Kaliyaperumal Velmurugan India
Kang Zhang China
Gaoxing Zhang China
Jin Hee Kim South Korea
L Herdman United Kingdom
Bryce A. Jones United States
Laura M G Meems Netherlands
Xinchun Yang China
Won Jun Kim relative to Akira Kawamoto Japan Akira Kawamoto's profile →
Citations per field
00.5×10×13.5×
Akira Kawamoto · 1×
Citations per year

Countries citing papers authored by Won Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Jun Kim. 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 Won Jun Kim. The network helps show where Won Jun Kim may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201172
2 201129
3 201120
4 201418
5 200911
6 20248
7 20088
8 20217
9 20236
10 20196
11 20231
12 20251
13 20101
14 20250
15 20190
16 20090

About Won Jun Kim

Won Jun Kim is a scholar working on Molecular Biology, Physiology, Surgery, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 188 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Gut microbiota and health (3 papers), Pancreatic function and diabetes (2 papers), Glaucoma and retinal disorders (2 papers), Probiotics and Fermented Foods (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Protein Degradation and Inhibitors (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Geriatrics and Gerontology (32 citations), Endocrinology, Diabetes and Metabolism (51 citations), Ophthalmology (27 citations), Physiology (11 citations) and Physiology (51 citations). Won Jun Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Cheol‐Young Park, Se Eun Park, Won‐Young Lee, Eun‐Jung Rhee, Ki Won Oh, Jung Mook Choi, Sun Woo Kim, Sung Woo Park, Soo Jin Yang and Sung Woo Park. Their work appears in journals such as PLoS ONE, Cornea, Genome Medicine, Frontiers in Nutrition and British Journal of Ophthalmology.

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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