Cha‐Soo Lee

478 citations
13 papers · 405 · h-index 5

Impact in

Papers in

Cha‐Soo Lee

11 papers receiving 382 citations

Peers

Cha‐Soo Lee
Comparison fields: 5 of 83
  • Biochemistry 71
  • Small Animals 35
  • Equine 6
  • Urology 20
  • Pharmacology 27
Replace L Wenda-Rózewicka with:
L Wenda-Rózewicka Poland
Ali Z India
Da Hye Kwon South Korea
Hanwen Su China
Xinghui Wang China
José Luís Avanzo Brazil
Yuko Taki Japan
A. van Garderen‐Hoetmer Netherlands
Ali Khosrowbeygi Iran
Hailong Jiang China
Cha‐Soo Lee relative to L Wenda-Rózewicka Poland L Wenda-Rózewicka's profile →
Citations per field
00.5×5×10×15×17.5×
L Wenda-Rózewicka · 1×
Citations per year

Countries citing papers authored by Cha‐Soo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Cha‐Soo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2003302
2 200138
3
Kinetics of macrophages, myofibroblasts and mast cells in carbon tetrachloride-induced rat liver cirrhosis.
200229
4 200116
5 19987
6 20034
7 20033
8
Parameters of Linear-Quadratic Radiation Dose-Effect Relationships
19982
9
Metabolic Activation of 2-Acetylaminofluorene is Required for Expression of Dioxin Receptor Mediated Cytochrome P4501A1/2 in Hepatocarcinogenesis
19961
10
Gartner's Duct Cyst in a Maltese Bitch
20011
11 20011
12 19831
13
Immunoelectron Microscopic Observation on the Stratified Squamous Epithelial Cello of Pemphigus vulgaris
19870

About Cha‐Soo Lee

Cha‐Soo Lee is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Cell Biology and Small Animals, having authored 13 papers that have together received 405 indexed citations. Recurring topics across this work include Renal and related cancers (3 papers), Congenital Anomalies and Fetal Surgery (3 papers), Nitric Oxide and Endothelin Effects (1 paper), Advanced Radiotherapy Techniques (1 paper), Radiation Shielding Materials Analysis (1 paper), Radiative Heat Transfer Studies (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Veterinary Medicine and Surgery (1 paper). The work is most often cited by research in Biochemistry (71 citations), Small Animals (35 citations), Equine (6 citations), Urology (20 citations) and Pharmacology (27 citations). Cha‐Soo Lee has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Sang‐Joon Park, Kyu‐Shik Jeong, Won‐Il Jeong, Si‐Yun Ryu, Jae‐Chan Song, Song‐Hae Bok, Sun Hee, Tae‐Sook Jeong, Sung‐Yeon Cho and Myung‐Ja Kwon. Their work appears in journals such as Molecular and Cellular Biochemistry, Journal of Radiation Research, Journal of Veterinary Medical Science, Han-guk hyeonmigyeong hakoeji/Applied microscopy and Laboratory Animal Research.

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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