Kuk‐Wha Lee

1.7k citations
26 papers · 1.3k indexed · h-index 19
Topics
Growth Hormone and Insulin-like Growth Factors (14 papers)GDF15 and Related Biomarkers (7 papers)Cancer, Hypoxia, and Metabolism (5 papers)

In The Last Decade

Kuk‐Wha Lee

26 papers receiving 1.3k citations

Peers

Kuk‐Wha Lee
Comparison fields: 5 of 103
  • Molecular Biology 645
  • Endocrinology, Diabetes and Metabolism 467
  • Rheumatology 336
  • Physiology 266
  • Cancer Research 243
Replace Fábio R. Faucz with:
Fábio R. Faucz United States
Lucia Becherini Italy
Omar Albagha United Kingdom
Ulrike I. Mödder United States
Luisella Alberti Italy
Anatoly Tiulpakov Russia
Ling Hou China
Ryuji Okazaki Japan
Jürgen Klammt Germany
Marcello D. Bronstein Brazil
Kuk‐Wha Lee relative to Fábio R. Faucz United States Fábio R. Faucz's profile →
Citations per field
00.5×3.7×
Fábio R. Faucz · 1×
Citations per year

Countries citing papers authored by Kuk‐Wha Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kuk‐Wha Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuk‐Wha 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 Kuk‐Wha Lee. The network helps show where Kuk‐Wha Lee may publish in the future.

Co-authorship network of co-authors of Kuk‐Wha Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kuk‐Wha Lee. A scholar is included among the top collaborators of Kuk‐Wha 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 Kuk‐Wha Lee. Kuk‐Wha 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
#WorkIndexed citations
1 19
2 73
3 37
4 96
5 32
6 78
7 22
8 122
9 32
10 55
11 23
12 39
13 40
14 127
15 125
16 2
17
Insulin-like growth factor binding protein-3 mediates tumor necrosis factor-alpha-induced apoptosis: role of Bcl-2 phosphorylation.
63
18 32
19 16
20 5

About Kuk‐Wha Lee

Kuk‐Wha Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology and Reproductive Medicine, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), GDF15 and Related Biomarkers (7 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (467 citations), Rheumatology (336 citations) and Cancer Research (243 citations). Kuk‐Wha Lee has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Pinchas Cohen, Bing-Rong Liu, Laura J. Cobb, Liqun Ma, Mi-Jung Park, Shin Hye Kim, Ikuo Nishimoto, Yuichi Hashimoto, Takako Niikura and Liqun Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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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