Won Chan Lee

3.2k citations
66 papers · 2.4k · h-index 26

Impact in

Papers in

Won Chan Lee

62 papers receiving 2.3k citations

Peers

Won Chan Lee
Comparison fields: 5 of 149
  • Family Practice 141
  • Endocrinology, Diabetes and Metabolism 532
  • Cardiology and Cardiovascular Medicine 297
  • Aquatic Science 83
  • Orthopedics and Sports Medicine 83
Replace Edward J. Brown with:
Edward J. Brown United States
Thomas L. Forbes Canada
Huabing Zhang China
Suying Li United States
Shigeo Tomura Japan
Sean McElligott United States
Yu‐Mi Lee South Korea
Heather A. Young United States
Kai Gu China
Michael Möhr Germany
Won Chan Lee relative to Edward J. Brown United States Edward J. Brown's profile →
Citations per field
00.5×10×13.8×
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 2005284
2 2014240
3 2006235
4 2004127
5
Prevalence and economic consequences of medication adherence in diabetes: a systematic literature review.
2006110
6 200897
7 200489
8 200681
9 201281
10 200776
11 200854
12 200654
13 200545
14 201544
15 200842
16 201441
17 201240
18 201140
19 201338
20 201538

About Won Chan Lee

Won Chan Lee is a scholar working on Global and Planetary Change, Aquatic Science, Ecology, Oceanography and Endocrinology, Diabetes and Metabolism, having authored 66 papers that have together received 2.4k indexed citations. Recurring topics across this work include Marine Bivalve and Aquaculture Studies (13 papers), Aquaculture Nutrition and Growth (8 papers), Marine and fisheries research (8 papers), Isotope Analysis in Ecology (6 papers), Marine and coastal ecosystems (5 papers), Diabetes Treatment and Management (4 papers), Marine and Coastal Research (3 papers) and Medication Adherence and Compliance (3 papers). The work is most often cited by research in Family Practice (141 citations), Endocrinology, Diabetes and Metabolism (532 citations), Cardiology and Cardiovascular Medicine (297 citations), Aquatic Science (83 citations) and Orthopedics and Sports Medicine (83 citations). Won Chan Lee has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Chris L. Pashos, Ashish V. Joshi, Sanjeev Balu, D Cobden, J. Brandman, Marc Botteman, Hyung‐Chul Kim, Matthew R. Smith, Qin Wang and Jae‐Seong Lee. Their work appears in journals such as Journal of Medical Economics, Marine Pollution Bulletin, Clinical Therapeutics, Aquaculture 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.

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