Go Eun Lee

477 citations
38 papers · 366 · h-index 9

Impact in

Papers in

Go Eun Lee

30 papers receiving 352 citations

Peers

Go Eun Lee
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 49
  • Transportation 20
  • Health, Toxicology and Mutagenesis 35
  • Neuropsychology and Physiological Psychology 3
  • Health 15
Replace Cecilia Anza‐Ramirez with:
Cecilia Anza‐Ramirez Peru
Qianling Zhou China
Mohebat Vali Iran
Philip Cavicchia United States
Susana del Pozo de la Calle Spain
Dou Qiao China
A. Bharathi United Kingdom
Abbygail Jaccard United Kingdom
Maria Gabriela Matias de Pinho Netherlands
Hui He China
Go Eun Lee relative to Cecilia Anza‐Ramirez Peru Cecilia Anza‐Ramirez's profile →
Citations per field
00.5×1.5×
Cecilia Anza‐Ramirez · 1×
Citations per year

Countries citing papers authored by Go Eun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Go Eun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200785
2 201881
3 200954
4 201826
5
The Relationship between Socioeconomic Status and Metabolic Syndrome among Korean Adults.
200618
6 201618
7 201811
8 201911
9 20169
10 20128
11 20237
12 20166
13 20184
14 20184
15 20223
16 20223
17 20182
18 20222
19 20252
20 20132

About Go Eun Lee

Go Eun Lee is a scholar working on Public Health, Environmental and Occupational Health, Plant Science, Ecology, Evolution, Behavior and Systematics, General Health Professions and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 366 indexed citations. Recurring topics across this work include Agriculture, Soil, Plant Science (4 papers), Wheat and Barley Genetics and Pathology (4 papers), Acupuncture Treatment Research Studies (2 papers), Healthcare and Venom Research (2 papers), Nutrition, Health and Food Behavior (2 papers), Diverse Approaches in Healthcare and Education Studies (2 papers), Plant Disease Resistance and Genetics (2 papers) and Consumer Perception and Purchasing Behavior (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (49 citations), Transportation (20 citations), Health, Toxicology and Mutagenesis (35 citations), Neuropsychology and Physiological Psychology (3 citations) and Health (15 citations). Go Eun Lee has collaborated with scholars based in South Korea, United States and Belgium. Frequent co-authors include Yeol Choi, Kyung Eun Yun, Hong‐Jun Cho, Hye Soon Park, Minjung Park, Jin-Ho Kim, Chul‐Hee Kim, Hong‐Kyu Kim, Ki‐Up Lee and Joong‐Yeol Park. Their work appears in journals such as Medicine, The American Journal of the Medical Sciences, Plants, International Journal of Older People Nursing and PLoS ONE.

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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