Gue‐Tae Chae
Impact in
- Microbiology top 5%
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Leprosy Research and Treatment
Papers in
-
- Leprosy Research and Treatment 16
- Tuberculosis Research and Epidemiology 9
- Epidemiology 18
- Mycobacterium research and diagnosis 18
- Co-authors
- Seong‐Beom Lee (10 shared papers)Tae Jin Kang (7 shared papers)Bum‐Joon Kim (3 shared papers)Yoon‐Hoh Kook (3 shared papers)Chang-Yong Cha (2 shared papers)Gill‐Han Bai (2 shared papers)Eui-Chong Kim (1 shared paper)Mi-Ae Lyu (1 shared paper)
- Journals
- Immune Network (3 papers)Gene (2 papers)Journal of Medical Microbiology (2 papers)Journal of Tissue Engineering and Regenerative Medicine (1 paper)International Journal of Gynecological Cancer (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Gue‐Tae Chae
35 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Microbiology 26
- Infectious Diseases 515
- Small Animals 162
- Epidemiology 659
- Immunology 339
Countries citing papers authored by Gue‐Tae Chae
This map shows the geographic impact of Gue‐Tae Chae'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 Gue‐Tae Chae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gue‐Tae Chae more than expected).
Fields of papers citing papers by Gue‐Tae Chae
This network shows the impact of papers produced by Gue‐Tae Chae. 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 Gue‐Tae Chae. The network helps show where Gue‐Tae Chae may publish in the future.
Co-authors
The 25 scholars most cited alongside Gue‐Tae Chae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 339 | |
| 2 | 2001 | 209 | |
| 3 | 2006 | 181 | |
| 4 | 2005 | 143 | |
| 5 | 2002 | 93 | |
| 6 | 2004 | 48 | |
| 7 | 2004 | 45 | |
| 8 | 2008 | 42 | |
| 9 | 2006 | 37 | |
| 10 | 1999 | 34 | |
| 11 | 2005 | 34 | |
| 12 | 2011 | 30 | |
| 13 | 2012 | 28 | |
| 14 | 2000 | 27 | |
| 15 | 2004 | 26 | |
| 16 | 2003 | 25 | |
| 17 | 2003 | 24 | |
| 18 | 2002 | 23 | |
| 19 | 2006 | 22 | |
| 20 | 2004 | 21 |
About Gue‐Tae Chae
Gue‐Tae Chae is a scholar working on Infectious Diseases, Epidemiology, Surgery, Immunology and Genetics, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (18 papers), Leprosy Research and Treatment (16 papers), Tuberculosis Research and Epidemiology (9 papers), Mesenchymal stem cell research (4 papers), Immune Response and Inflammation (4 papers), Forensic and Genetic Research (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Microbiology (26 citations), Infectious Diseases (515 citations), Small Animals (162 citations), Epidemiology (659 citations) and Immunology (339 citations). Gue‐Tae Chae has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Seong‐Beom Lee, Tae Jin Kang, Bum‐Joon Kim, Yoon‐Hoh Kook, Chang-Yong Cha, Gill‐Han Bai, Eui-Chong Kim, Mi-Ae Lyu, Sang‐Jae Kim and Seung Hyun Lee. Their work appears in journals such as Immune Network, Gene, Journal of Medical Microbiology, Journal of Tissue Engineering and Regenerative Medicine and International Journal of Gynecological Cancer.
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.