Dong‐Jun Kim

3.0k citations
122 papers · 2.3k · h-index 26

Impact in

Papers in

Dong‐Jun Kim

115 papers receiving 2.3k citations

Peers

Dong‐Jun Kim
Comparison fields: 5 of 137
  • Pathology and Forensic Medicine 469
  • Endocrinology, Diabetes and Metabolism 302
  • Surgery 547
  • Pharmacology 195
  • Sensory Systems 46
Replace Neeraj Kumar with:
Neeraj Kumar United States
T A Gray United Kingdom
Mustafa Şahi̇n Türkiye
Susan V. Hughes United Kingdom
Po‐Yin Cheung Canada
Xiaoli Zhang China
M Passeri Italy
Δέσποινα Περρέα Greece
Jun Ho Lee South Korea
Pilar Sanchís Spain
Dong‐Jun Kim relative to Neeraj Kumar United States Neeraj Kumar's profile →
Citations per field
00.5×2×4×6.5×
Neeraj Kumar · 1×
Citations per year

Countries citing papers authored by Dong‐Jun Kim

Since Specialization
Citations

This map shows the geographic impact of Dong‐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 Dong‐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 Dong‐Jun Kim more than expected).

Fields of papers citing papers by Dong‐Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000128
2 2006128
3 2011124
4 2001123
5 2003122
6 201580
7 201176
8 200569
9 199965
10 200862
11 200655
12 202044
13 200443
14 200542
15 201641
16 201739
17 200237
18 201335
19 201234
20 201334

About Dong‐Jun Kim

Dong‐Jun Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 122 papers that have together received 2.3k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Musculoskeletal pain and rehabilitation (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes Management and Research (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Scoliosis diagnosis and treatment (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (469 citations), Endocrinology, Diabetes and Metabolism (302 citations), Surgery (547 citations), Pharmacology (195 citations) and Sensory Systems (46 citations). Dong‐Jun Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jung Hyun Noh, Jae Won Hong, Hwan‐Mo Lee, Moon‐Chan Kim, Hungtae Chung, Jae-Lim Cho, Moon‐Kyu Lee, Kwang‐Won Kim, Chang-Hoon Jeon and Byoung Doo Rhee. Their work appears in journals such as PLoS ONE, Diabetes & Metabolism Journal, Medicine, Journal of Korean Medical Science and Spine.

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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