Won‐Kyung Cho
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Immunology top 10%
- Oncology top 10%
- Surgery
- Co-authors
- Youngmee KimChun Geun LeeDong‐Soo ImJisun PaikJack A. EliasDavid M. MargolisNancie M. ArchinKara S. Keedy
- Topics
- Advanced Wireless Communication Techniques (9 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers)Smoking Behavior and Cessation (7 papers)
- Cited by
- VirologyOphthalmologyImmunology
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Won‐Kyung Cho
88 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 824
- Pulmonary and Respiratory Medicine 409
- Immunology 293
- Oncology 273
- Surgery 255
Countries citing papers authored by Won‐Kyung Cho
This map shows the geographic impact of Won‐Kyung Cho'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 Won‐Kyung Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won‐Kyung Cho more than expected).
Fields of papers citing papers by Won‐Kyung Cho
This network shows the impact of papers produced by Won‐Kyung Cho. 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 Won‐Kyung Cho. The network helps show where Won‐Kyung Cho may publish in the future.
Co-authorship network of co-authors of Won‐Kyung Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Kyung Cho. A scholar is included among the top collaborators of Won‐Kyung Cho 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 Won‐Kyung Cho. Won‐Kyung Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 41 | |
| 9 | 1 | |
| 10 | 58 | |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 123 | |
| 14 | 81 | |
| 15 | 8 | |
| 16 | Estimation of Velocity and Training Overhead Constraints for Energy Efficient Cooperative Technique in Wireless Sensor Networks | 1 |
| 17 | Implementation of the Wireless Transducer Interface Module and NCAP architecture | 1 |
| 18 | Sphere Decoding Algorithm and VLSI Implementation Using Two-Level Search | 1 |
| 19 | 93 | |
| 20 | 104 |
About Won‐Kyung Cho
Won‐Kyung Cho is a scholar working on Ophthalmology, Otorhinolaryngology and Dermatology, having authored 97 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers) and Smoking Behavior and Cessation (7 papers). The work is most often cited by research in Virology (220 citations), Ophthalmology (128 citations) and Immunology (293 citations). Won‐Kyung Cho has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Youngmee Kim, Chun Geun Lee, Dong‐Soo Im, Jisun Paik, Jack A. Elias, David M. Margolis, Nancie M. Archin, Kara S. Keedy, Jonathan Karn and Min‐Jong Kang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.
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.