Ju Mi Lee

560 total citations
29 papers, 403 citations indexed

About

Ju Mi Lee is a scholar working on Epidemiology, Infectious Diseases and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ju Mi Lee has authored 29 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 7 papers in Infectious Diseases and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ju Mi Lee's work include Mycobacterium research and diagnosis (6 papers), Tuberculosis Research and Epidemiology (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Ju Mi Lee is often cited by papers focused on Mycobacterium research and diagnosis (6 papers), Tuberculosis Research and Epidemiology (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Ju Mi Lee collaborates with scholars based in South Korea, United States and Taiwan. Ju Mi Lee's co-authors include Hyeon Chang Kim, Il Suh, Dong Phil Choi, Hye Min Cho, Sun Min Oh, Yumie Rhee, Chang Oh Kim, Kyoung Min Kim, Yoosik Youm and Eun Young Lee and has published in prestigious journals such as PLoS ONE, Scientific Reports and British Journal of Pharmacology.

In The Last Decade

Ju Mi Lee

29 papers receiving 390 citations

Peers

Ju Mi Lee
Comparison fields: 5 of 90
  • Epidemiology 109
  • Endocrinology, Diabetes and Metabolism 86
  • Pathology and Forensic Medicine 77
  • Physiology 68
  • Nephrology 66
Replace Diane Tipping with:
Diane Tipping United States
Zhe Yan China
Li‐Ting Sheng China
Hongmei Yang China
Rehan Malik United States
Janice Campbell United States
Yoon Jeong Cho South Korea
Anel Gómez‐García Mexico
Germán Vargas‐Ayala Mexico
Dughyun Choi South Korea
Diane Tipping United States View profile →
Citations per field, relative to Ju Mi Lee
Ju Mi Lee · 1×
Citations per year, relative to Ju Mi Lee
Ju Mi Lee · 1×

Countries citing papers authored by Ju Mi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ju Mi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Mi Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Mi Lee. A scholar is included among the top collaborators of Ju Mi Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ju Mi Lee. Ju Mi Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 1
3 9
4 6
5 9
6 4
7 13
8 9
9 3
10 19
11 11
12 19
13 26
14 3
15 15
16 13
17 30
18 10
19 41
20 16

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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