Taek Soo Kim
- Infectious Diseases top 2%
- Epidemiology top 5%
- Clinical Biochemistry top 1%
- Biomedical Engineering top 10%
- Molecular Biology
- Co-authors
- Kyoung Un ParkMoon‐Woo SeongWan Beom ParkMyoung‐don OhNam Joong KimJae‐Joon YimSang Mee HwangHyunwoong Park
- Topics
- Bacterial Identification and Susceptibility Testing (25 papers)Mycobacterium research and diagnosis (14 papers)Tuberculosis Research and Epidemiology (13 papers)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Taek Soo Kim
101 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 146
- Infectious Diseases 891
- Epidemiology 541
- Clinical Biochemistry 326
- Biomedical Engineering 300
- Molecular Biology 227
Countries citing papers authored by Taek Soo Kim
This map shows the geographic impact of Taek Soo 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 Taek Soo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taek Soo Kim more than expected).
Fields of papers citing papers by Taek Soo Kim
This network shows the impact of papers produced by Taek Soo 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 Taek Soo Kim. The network helps show where Taek Soo Kim may publish in the future.
Co-authorship network of co-authors of Taek Soo Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Taek Soo Kim. A scholar is included among the top collaborators of Taek Soo 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 Taek Soo Kim. Taek Soo 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 | 1 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 25 | |
| 9 | 34 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 18 | |
| 13 | 58 | |
| 14 | 7 | |
| 15 | 258 | |
| 16 | 11 | |
| 17 | Probability of Obtaining Specific Antigen-Negative Blood Units through Antigen Testing in Korean Medical Institutes | 2 |
| 18 | Improving antitubercular drug susceptibility testing with liquid media. | 5 |
| 19 | The Current Status of Management for Specific Antigen-negative Blood Units in Korea | 1 |
| 20 | Microstructure control of Al2O3-ZrO2 composite by fibrous monolithic process | 1 |
About Taek Soo Kim
Taek Soo Kim is a scholar working on Clinical Biochemistry, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 108 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (25 papers), Mycobacterium research and diagnosis (14 papers) and Tuberculosis Research and Epidemiology (13 papers). The work is most often cited by research in Infectious Diseases (891 citations), Clinical Biochemistry (326 citations) and Applied Microbiology and Biotechnology (88 citations). Taek Soo Kim has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Kyoung Un Park, Moon‐Woo Seong, Wan Beom Park, Myoung‐don Oh, Nam Joong Kim, Jae‐Joon Yim, Sang Mee Hwang, Hyunwoong Park, Ki Ho Hong and Pyoeng Gyun Choe. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.
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.