Woo-Sik Lee

415 citations
29 papers · 324 · h-index 9

Impact in

Papers in

Woo-Sik Lee

23 papers receiving 317 citations

Peers

Woo-Sik Lee
Comparison fields: 5 of 82
  • Reproductive Medicine 82
  • Obstetrics and Gynecology 39
  • Public Health, Environmental and Occupational Health 91
  • Immunology 53
  • Urology 12
Replace Yufan Song with:
Yufan Song China
Yuan Yue China
Jun Rong Huang United States
Reza Zarezadeh Iran
Chengliang Zhou China
Jon Aizpurúa Spain
Javiera Bahamonde United States
Hira Sajjad Talpur China
Hongjing Han China
Sara M. Ahmed Egypt
Woo-Sik Lee relative to Yufan Song China Yufan Song's profile →
Citations per field
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Citations per year

Countries citing papers authored by Woo-Sik Lee

Since Specialization
Citations

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

Fields of papers citing papers by Woo-Sik Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo-Sik 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 Woo-Sik Lee. The network helps show where Woo-Sik Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200664
2 202056
3 202037
4 201233
5 201029
6 200427
7 201317
8 201210
9 20229
10 20119
11 20195
12 20124
13 20114
14 20164
15 20212
16 20072
17
Development of Web GIS Based Road Sign Integrated System for Enhancing Management Efficiency
20072
18 20152
19 20181
20
Development of porthole Die on Aluminum Extrusion for the Automobile Control Arm
20071

About Woo-Sik Lee

Woo-Sik Lee is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications, Transportation, Reproductive Medicine and Health, Toxicology and Mutagenesis, having authored 29 papers that have together received 324 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (6 papers), Energy Efficient Wireless Sensor Networks (2 papers), Energy and Environmental Systems (2 papers), Reproductive System and Pregnancy (2 papers), Ovarian function and disorders (2 papers), Internet of Things and Social Network Interactions (2 papers), Enterobacteriaceae and Cronobacter Research (1 paper) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Reproductive Medicine (82 citations), Obstetrics and Gynecology (39 citations), Public Health, Environmental and Occupational Health (91 citations), Immunology (53 citations) and Urology (12 citations). Woo-Sik Lee has collaborated with scholars based in South Korea, Malaysia and Japan. Frequent co-authors include Kyung‐Ah Lee, Dong‐Hee Choi, Se‐Jin Yoon, Kwang‐Yul Cha, Tae Ki Yoon, Mira Park, Ji Hye Kim, Kyeoung‐Hwa Kim, Hyung‐Min Chung and Sang Woo Lyu. Their work appears in journals such as Frontiers in Physiology, Toxicology Letters, Molecular and Cellular Endocrinology, Hormone Molecular Biology and Clinical Investigation and Journal of Proteome 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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