Ji Eun Jun

1.8k citations
68 papers · 1.3k · h-index 22

Impact in

Papers in

    • Diabetes Management and Research 6
    • Thyroid Disorders and Treatments 5
    • Diabetes Treatment and Management 4
    • Diabetes, Cardiovascular Risks, and Lipoproteins 4
    • Chronic Kidney Disease and Diabetes 3
    • Parathyroid Disorders and Treatments 2

Ji Eun Jun

66 papers receiving 1.3k citations

Peers

Ji Eun Jun
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 327
  • Health Informatics 11
  • Nephrology 56
  • Epidemiology 142
  • Physiology 106
Replace Müjde Aktürk with:
Müjde Aktürk Türkiye
Emil Martinka Slovakia
Prasanna Santhanam United States
Jae Hwan Jee South Korea
Sandra O. Hernández‐González Mexico
James J. Chamberlain United States
Fuminori Katsukawa Japan
Charles F. Shaefer United States
Maryam Barzin Iran
Dara P. Schuster United States
Ji Eun Jun relative to Müjde Aktürk Türkiye Müjde Aktürk's profile →
Citations per field
00.5×2×2.7×
Müjde Aktürk · 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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018166
2 2019104
3 201592
4 201870
5 201659
6 202355
7 201849
8 201737
9 201835
10 201732
11 202132
12 201929
13 202029
14 201827
15 202127
16 201825
17 201925
18 202025
19 202225
20 202324

About Ji Eun Jun

Ji Eun Jun is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Surgery, Epidemiology and Physiology, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes Management and Research (6 papers), Thyroid Disorders and Treatments (5 papers), Diabetes Treatment and Management (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Parathyroid Disorders and Treatments (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (327 citations), Health Informatics (11 citations), Nephrology (56 citations), Epidemiology (142 citations) and Physiology (106 citations). Ji Eun Jun has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jae Hyeon Kim, Sang‐Man Jin, Kyu Yeon Hur, You‐Bin Lee, Moon‐Kyu Lee, Gyuri Kim, Jae Hwan Jee, Jiyeon Ahn, Ji Cheol Bae and Seung‐Eun 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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