Eun Ja Lee

57 papers receiving 949 citations

Peers

Eun Ja Lee
Comparison fields: 5 of 104
  • Leadership and Management 32
  • Genetics 120
  • Neurology 140
  • Endocrinology, Diabetes and Metabolism 131
  • Radiology, Nuclear Medicine and Imaging 122
Replace Walenty M. Nyka with:
Walenty M. Nyka Poland
Marta Alves Portugal
Nadir E. Bharucha India
Andreas K. Demetriades United Kingdom
Hussein Algahtani Saudi Arabia
Charles Bradley United States
E Vartiainen Finland
Mariana Gerschenson United States
Michael T.M. Wang New Zealand
Avraham Zeharia Israel
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Citations per year

Countries citing papers authored by Eun Ja Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eun Ja Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eun Ja 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 Eun Ja Lee Line = papers co-authored together Eun Ja 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 2010127
2 200867
3 201667
4 200254
5
Relevance of common carotid intima-media thickness and carotid plaque as risk factors for ischemic stroke in patients with type 2 diabetes mellitus.
200752
6 201251
7 200949
8 200144
9 200743
10 200643
11 200528
12 201527
13 201124
14 201218
15 200417
16 200717
17 201516
18 199916
19 201416
20 202116

About Eun Ja Lee

Eun Ja Lee is a scholar working on Neurology, Leadership and Management, General Health Professions, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Healthcare Education and Workforce Issues (9 papers), Agriculture, Soil, Plant Science (7 papers), Diverse Approaches in Healthcare and Education Studies (5 papers), Health and Wellbeing Research (5 papers), Neurological and metabolic disorders (4 papers), Patient Dignity and Privacy (3 papers), Ecology and Conservation Studies (3 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). The work is most often cited by research in Leadership and Management (32 citations), Genetics (120 citations), Neurology (140 citations), Endocrinology, Diabetes and Metabolism (131 citations) and Radiology, Nuclear Medicine and Imaging (122 citations). Eun Ja Lee has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Gordon Guyatt, Jong‐Myon Bae, Seon Kyu Lee, Jong Myon Bae, Eun Kyoung Lee, Karel G. terBrugge, David J. Mikulis, Dae Seob Choi, Yong Seok Lee and Noh Hyuck Park. Their work appears in journals such as Korean Journal of Radiology, American Journal of Roentgenology, Gastric Cancer, Neuroradiology and Neurological 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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