Won Chan Lee

3.2k citations
66 papers · 2.3k · h-index 26

Impact in

Papers in

Won Chan Lee

61 papers receiving 2.2k citations

Peers

Won Chan Lee
Comparison fields: 5 of 155
  • Family Practice 209
  • Endocrinology, Diabetes and Metabolism 683
  • Orthopedics and Sports Medicine 147
  • Geriatrics and Gerontology 66
  • Cardiology and Cardiovascular Medicine 360
Replace Edward J. Brown with:
Edward J. Brown United States
Suying Li United States
Xuelei Wang China
Geoffrey B. Thompson United States
Shigeo Tomura Japan
Zhen‐Yu Zhang China
Thomas L. Forbes Canada
Thomas Rhodes United States
Reina Haque United States
Heather A. Young United States
Won Chan Lee relative to Edward J. Brown United States Edward J. Brown's profile →
Citations per field
00.5×5.4×
Edward J. Brown · 1×
Citations per year

Countries citing papers authored by Won Chan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won Chan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005272
2 2006230
3 2014227
4 2004123
5
Prevalence and economic consequences of medication adherence in diabetes: a systematic literature review.
2006108
6 200894
7 200483
8 200679
9 201278
10 200774
11 200654
12 200853
13 201544
14 200841
15 201440
16 201139
17 201238
18 201537
19 200536
20 201335

About Won Chan Lee

Won Chan Lee is a scholar working on Global and Planetary Change, Endocrinology, Diabetes and Metabolism, Aquatic Science, Ecology and Surgery, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Marine Bivalve and Aquaculture Studies (13 papers), Diabetes Management and Research (10 papers), Diabetes Treatment and Management (10 papers), Marine and fisheries research (8 papers), Aquaculture Nutrition and Growth (8 papers), Medication Adherence and Compliance (6 papers), Isotope Analysis in Ecology (6 papers) and Marine and coastal ecosystems (5 papers). The work is most often cited by research in Family Practice (209 citations), Endocrinology, Diabetes and Metabolism (683 citations), Orthopedics and Sports Medicine (147 citations), Geriatrics and Gerontology (66 citations) and Cardiology and Cardiovascular Medicine (360 citations). Won Chan Lee has collaborated with scholars based in United States, South Korea and Denmark. Frequent co-authors include Chris L. Pashos, Ashish V. Joshi, Sanjeev Balu, D Cobden, J. Brandman, Marc Botteman, Hyung‐Chul Kim, Qin Wang, Matthew R. Smith and Hans‐Uwe Dahms. Their work appears in journals such as Marine Pollution Bulletin, Journal of Medical Economics, Aquaculture, Clinical Therapeutics and Journal of Sea Research.

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.

Explore authors with similar magnitude of impact