Ji Eun Jun

2.3k citations
70 papers · 1.7k · h-index 21

Impact in

Papers in

Ji Eun Jun

67 papers receiving 1.6k citations

Peers

Ji Eun Jun
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 518
  • Physiology 315
  • Epidemiology 340
  • Cardiology and Cardiovascular Medicine 208
  • Geriatrics and Gerontology 34
Replace Jianhua Wang with:
Jianhua Wang China
Behnam Heidari Iran
Arnon Blum Israel
Xing Wang China
Xuewen Xu China
Kazuya Murata Japan
Jìng Guo China
Kuk Hui Son South Korea
Limeng Chen China
Yongjian Wu China
Ji Eun Jun relative to Jianhua Wang China Jianhua Wang's profile →
Citations per field
00.5×2.6×
Jianhua Wang · 1×
Citations per year

Countries citing papers authored by Ji Eun Jun

Since Specialization
Citations

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

Fields of papers citing papers by Ji Eun Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004384
2 2018144
3 1996126
4 201990
5 201586
6 201864
7 201656
8 201839
9 202338
10 200638
11 201835
12 201735
13 201731
14 202130
15 202026
16 201826
17 201825
18 201924
19 202124
20 201722

About Ji Eun Jun

Ji Eun Jun is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Epidemiology, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes Management and Research (13 papers), Diabetes Treatment and Management (11 papers), Heart Rate Variability and Autonomic Control (9 papers), Lipoproteins and Cardiovascular Health (8 papers), Metabolism, Diabetes, and Cancer (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Body Composition Measurement Techniques (5 papers) and Thyroid Disorders and Treatments (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (518 citations), Physiology (315 citations), Epidemiology (340 citations), Cardiology and Cardiovascular Medicine (208 citations) and Geriatrics and Gerontology (34 citations). Ji Eun Jun has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jae Hyeon Kim, Sang‐Man Jin, Kyu Yeon Hur, You‐Bin Lee, Ji Won Rhim, Ho Bum Park, Young Moo Lee, Dong‐Hyun Kim, Gyuri Kim and Moon‐Kyu Lee. Their work appears in journals such as Diabetes & Metabolism Journal, Cardiovascular Diabetology, Scientific Reports, Diabetes Research and Clinical Practice and Diabetes/Metabolism Research and Reviews.

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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