Dong Jun Lim

2.0k citations
67 papers · 1.5k · h-index 24

Impact in

Papers in

Dong Jun Lim

65 papers receiving 1.5k citations

Peers

Dong Jun Lim
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 833
  • Pathology and Forensic Medicine 128
  • Surgery 261
  • Nephrology 41
  • Dermatology 44
Replace Takayuki Higashi with:
Takayuki Higashi Japan
Guijun Qin China
Hisao Wakasaki Japan
Oliver Adam Germany
Flavia Agata Cimini Italy
Kenshi Matsumoto Japan
Xiaochen Yu China
Mariko Kajikawa Japan
Gil Leibowitz Israel
Francesco Bagaglia Italy
Dong Jun Lim relative to Takayuki Higashi Japan Takayuki Higashi's profile →
Citations per field
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Takayuki Higashi · 1×
Citations per year

Countries citing papers authored by Dong Jun Lim

Since Specialization
Citations

This map shows the geographic impact of Dong Jun Lim'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 Lim 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 Lim more than expected).

Fields of papers citing papers by Dong Jun Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010143
2 2007117
3 201476
4 201172
5 201656
6 201354
7 201344
8 201041
9 200240
10 201140
11 201840
12 201439
13 200739
14 202039
15 201438
16 201234
17 201632
18 201131
19 201430
20 202125

About Dong Jun Lim

Dong Jun Lim is a scholar working on Endocrinology, Diabetes and Metabolism, Dermatology, Neurology, Pathology and Forensic Medicine and Surgery, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (20 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Cutaneous lymphoproliferative disorders research (4 papers), Thyroid and Parathyroid Surgery (3 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Thyroid Disorders and Treatments (3 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (833 citations), Pathology and Forensic Medicine (128 citations), Surgery (261 citations), Nephrology (41 citations) and Dermatology (44 citations). Dong Jun Lim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Yun Tai Kim, Ja Seong Bae, Chan Kwon Jung, Bong Yun Cha, Ki Hyun Baek, Hwa–Young Son, Kwang Woo Lee, Jong Min Lee, Moo Il Kang and Hyuk-Sang Kwon. Their work appears in journals such as Thyroid, Journal of Korean Medical Science, Molecules, Journal of Korean Neurosurgical Society and Journal of Diabetes and its Complications.

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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