Soon Hee Lee

471 citations
33 papers · 335 · h-index 13

Impact in

Papers in

    • Pancreatic function and diabetes 12
    • Diabetes Treatment and Management 6
    • Diabetes Management and Research 5
    • Diet, Metabolism, and Disease 3
    • Diabetes, Cardiovascular Risks, and Lipoproteins 3

Soon Hee Lee

29 papers receiving 329 citations

Peers

Soon Hee Lee
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 123
  • Cardiology and Cardiovascular Medicine 66
  • Surgery 102
  • Nephrology 14
  • Molecular Biology 128
Replace Gerald Grandl with:
Gerald Grandl Germany
Xinli Zhou China
Ruili Yin China
Nasui Wang China
Júlio C Fraulob-Aquino Canada
Garrett K. Fink United States
Andrea Anedda Spain
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Amina Kunovac United States
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Citations per field
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Citations per year

Countries citing papers authored by Soon Hee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Soon Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon Hee Lee. 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 Soon Hee Lee. The network helps show where Soon Hee Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202045
2 201932
3 201127
4 201225
5 201022
6 201618
7 201718
8 202017
9 201414
10 201914
11 201713
12 201412
13 201912
14 202010
15 20138
16 20118
17
The Prevalence of Chronic Complications in Non-Insulin Dependent Diabetic Patients.
19997
18 20156
19 20165
20 20154

About Soon Hee Lee

Soon Hee Lee is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 335 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Diabetes Treatment and Management (6 papers), Diabetes Management and Research (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Diabetes and associated disorders (5 papers), Cardiovascular Health and Disease Prevention (4 papers), Diet, Metabolism, and Disease (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (123 citations), Cardiology and Cardiovascular Medicine (66 citations), Surgery (102 citations), Nephrology (14 citations) and Molecular Biology (128 citations). Soon Hee Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Mi-Kyung Kim, Min Jeong Kwon, Jeong Hyun Park, Byoung Doo Rhee, Tae Nyun Kim, Hye Sook Jung, Eun Ju Lee, Jong Ho Kim, Sang Soo Kim and Chang Won Lee. Their work appears in journals such as Diabetes & Metabolism Journal, Canadian Journal of Diabetes, Diabetes Research and Clinical Practice, The World Journal of Men s Health and International Journal of Medical Sciences.

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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