Ju Hee Lee

3.9k citations
94 papers · 2.2k · h-index 24

Impact in

Papers in

Ju Hee Lee

91 papers receiving 2.1k citations

Peers

Ju Hee Lee
Comparison fields: 5 of 127
  • Sensory Systems 139
  • Rheumatology 399
  • Physiology 491
  • Otorhinolaryngology 56
  • Endocrinology, Diabetes and Metabolism 210
Replace Dominique Eladari with:
Dominique Eladari France
Carrie Ris‐Stalpers Netherlands
G. Kunkel Germany
Tertius Hough United Kingdom
Stuart H. Ralston United Kingdom
Birgit Rathkolb Germany
Kenichiro Kitamura Japan
Shigeaki Muto Japan
Jakob Voelkl Germany
Chung‐Hsi Hsing Taiwan
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Citations per field
00.5×4.7×
Dominique Eladari · 1×
Citations per year

Countries citing papers authored by Ju Hee Lee

Since Specialization
Citations

This map shows the geographic impact of Ju Hee 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 Hee 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 Hee Lee more than expected).

Fields of papers citing papers by Ju Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016243
2 1998179
3 2018129
4 200991
5
An engineered FGF21 variant, LY2405319, can prevent non-alcoholic steatohepatitis by enhancing hepatic mitochondrial function.
201687
6 201586
7 201982
8 201478
9 201861
10 201761
11 201761
12 202160
13 202053
14 201652
15 201250
16 201642
17 201636
18 201730
19 201230
20 201328

About Ju Hee Lee

Ju Hee Lee is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology and Physiology, having authored 94 papers that have together received 2.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), GDF15 and Related Biomarkers (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), CRISPR and Genetic Engineering (5 papers), RNA Interference and Gene Delivery (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Eosinophilic Esophagitis (4 papers). The work is most often cited by research in Sensory Systems (139 citations), Rheumatology (399 citations), Physiology (491 citations), Otorhinolaryngology (56 citations) and Endocrinology, Diabetes and Metabolism (210 citations). Ju Hee Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Hyun Jin Kim, Bon Jeong Ku, Yea Eun Kang, Minho Shong, Kyong Hye Joung, Ji Min Kim, Hyon‐Seung Yi, Koon Soon Kim, Min Jeong Choi and Hyo Kyun Chung. Their work appears in journals such as Journal of Korean Medical Science, Diabetes & Metabolism Journal, Disease Markers, PLoS ONE and Frontiers in Endocrinology.

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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