Woo Sung Kim
- Pulmonary and Respiratory Medicine top 1%
- Epidemiology top 2%
- Molecular Biology top 10%
- Surgery top 5%
- Oncology top 5%
- Co-authors
- Tae Sun ShimSang‐Do LeeChang‐Min ChoiDong Soon KimYounsuck KohJae Cheol LeeWon Dong KimChae‐Man Lim
- Topics
- Lung Cancer Treatments and Mutations (31 papers)Mycobacterium research and diagnosis (28 papers)Tuberculosis Research and Epidemiology (25 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Woo Sung Kim
195 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Pulmonary and Respiratory Medicine 1.9k
- Epidemiology 1.1k
- Molecular Biology 883
- Surgery 756
- Oncology 674
Countries citing papers authored by Woo Sung Kim
This map shows the geographic impact of Woo Sung Kim'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 Sung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woo Sung Kim more than expected).
Fields of papers citing papers by Woo Sung Kim
This network shows the impact of papers produced by Woo Sung Kim. 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 Sung Kim. The network helps show where Woo Sung Kim may publish in the future.
Co-authorship network of co-authors of Woo Sung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Woo Sung Kim. A scholar is included among the top collaborators of Woo Sung Kim 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 Woo Sung Kim. Woo Sung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 60 | |
| 5 | 35 | |
| 6 | 34 | |
| 7 | 2 | |
| 8 | 39 | |
| 9 | 25 | |
| 10 | Clinical significance of NQO1 polymorphism and expression of p53, SOD2, PARP1 in limited-stage small cell lung cancer. | 9 |
| 11 | 11 | |
| 12 | 40 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 222 | |
| 18 | 31 | |
| 19 | A Case of Conversion Disorder Treated with Gaegyeolseogyeong-tang | 1 |
| 20 | Conversion Rates of Tuberculin Test according to BCG Vaccination Methods | 0 |
About Woo Sung Kim
Woo Sung Kim is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine, having authored 215 papers that have together received 4.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (31 papers), Mycobacterium research and diagnosis (28 papers) and Tuberculosis Research and Epidemiology (25 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.9k citations), Epidemiology (1.1k citations) and Small Animals (227 citations). Woo Sung Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Tae Sun Shim, Sang‐Do Lee, Chang‐Min Choi, Dong Soon Kim, Younsuck Koh, Jae Cheol Lee, Won Dong Kim, Chae‐Man Lim, Jin Kyung Rho and Joo Han Oh. Their work appears in journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Cancer 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.