Sang Do Lee

3.5k citations
119 papers · 2.8k · h-index 31

Impact in

    • Aldose Reductase and Taurine
    • Cellular transport and secretion
    • Protein Kinase Regulation and GTPase Signaling
    • Metabolism, Diabetes, and Cancer

Papers in

    • Protein Kinase Regulation and GTPase Signaling 11
    • Heme Oxygenase-1 and Carbon Monoxide 6
    • Metabolism, Diabetes, and Cancer 5
    • Aldose Reductase and Taurine 18

Sang Do Lee

108 papers receiving 2.7k citations

Peers

Sang Do Lee
Comparison fields: 5 of 151
  • Cell Biology 674
  • Molecular Biology 1.1k
  • Biomaterials 194
  • Polymers and Plastics 197
  • Physiology 327
Replace Hongjun Wang with:
Hongjun Wang United States
Yun Zhao China
Yang Shen China
Juan Ye China
Lu H China
Xiaolong Yan China
Emanuele� Giordano Italy
Zhengchao Wang China
Tao Chen China
Sang Do Lee relative to Hongjun Wang United States Hongjun Wang's profile →
Citations per field
00.5×8.6×
Hongjun Wang · 1×
Citations per year

Countries citing papers authored by Sang Do Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang Do Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004249
2 2002175
3 2006120
4 2002114
5 199888
6 199981
7 200873
8 199972
9 200170
10 201564
11 199759
12 200358
13 199957
14 200254
15 201153
16 201352
17 201452
18 200850
19 200350
20 200050

About Sang Do Lee

Sang Do Lee is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Ocean Engineering, having authored 119 papers that have together received 2.8k indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (18 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Respiratory Support and Mechanisms (6 papers), Underwater Vehicles and Communication Systems (6 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Prenatal Substance Exposure Effects (5 papers). The work is most often cited by research in Cell Biology (674 citations), Molecular Biology (1.1k citations), Biomaterials (194 citations), Polymers and Plastics (197 citations) and Physiology (327 citations). Sang Do Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seung Kyoon Woo, Sung Ho Ryu, Yong Kim, Ki Young Na, Jae Ho Kim, H. Moo Kwon, Hyug Moo Kwon, Donghwan Cho, L. T. Drzal and Won Ho Park. Their work appears in journals such as Biopharmaceutics & Drug Disposition, Molecules and Cells, CHEST Journal, Journal of Biological Chemistry and Cancer Research and Treatment.

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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