Gill‐Han Bai
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Microbiology top 2%
Papers in
-
- Tuberculosis Research and Epidemiology 22
- Epidemiology 19
- Mycobacterium research and diagnosis 18
- Co-authors
- Sang‐Jae Kim (8 shared papers)Yoon‐Hoh Kook (5 shared papers)Bum‐Joon Kim (5 shared papers)Hyeyoung Lee (3 shared papers)Chang-Yong Cha (4 shared papers)Gue‐Tae Chae (2 shared papers)Sung‐Rae Cho (1 shared paper)Eui-Chong Kim (1 shared paper)
- Journals
- Journal of Clinical Microbiology (8 papers)Journal of Korean Medical Science (3 papers)The Journal of Microbiology (2 papers)Journal of Microbiological Methods (2 papers)PROTEOMICS (1 paper)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Gill‐Han Bai
26 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 1.2k
- Microbiology 46
- Small Animals 357
- Epidemiology 1.4k
- Molecular Medicine 90
Countries citing papers authored by Gill‐Han Bai
This map shows the geographic impact of Gill‐Han Bai'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 Gill‐Han Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gill‐Han Bai more than expected).
Fields of papers citing papers by Gill‐Han Bai
This network shows the impact of papers produced by Gill‐Han Bai. 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 Gill‐Han Bai. The network helps show where Gill‐Han Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Gill‐Han Bai, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 462 | |
| 2 | 1999 | 357 | |
| 3 | 2000 | 205 | |
| 4 | 2005 | 151 | |
| 5 | 1993 | 128 | |
| 6 | 2001 | 96 | |
| 7 | 2000 | 64 | |
| 8 | 2003 | 53 | |
| 9 | 2012 | 50 | |
| 10 | 2005 | 41 | |
| 11 | 2006 | 34 | |
| 12 | 2007 | 33 | |
| 13 | 2015 | 32 | |
| 14 | 2007 | 31 | |
| 15 | 2005 | 30 | |
| 16 | 2009 | 22 | |
| 17 | 2001 | 20 | |
| 18 | 2006 | 18 | |
| 19 | Clinical significance of nontuberculous mycobacteria isolated from respiratory specimens. | 2003 | 16 |
| 20 | 2006 | 16 |
About Gill‐Han Bai
Gill‐Han Bai is a scholar working on Infectious Diseases, Epidemiology, Small Animals, Surgery and Molecular Biology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (22 papers), Mycobacterium research and diagnosis (18 papers), Infectious Diseases and Tuberculosis (4 papers), Infectious Diseases and Mycology (4 papers), Genomics and Phylogenetic Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Biochemical and Molecular Research (3 papers) and Diagnosis and treatment of tuberculosis (2 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Microbiology (46 citations), Small Animals (357 citations), Epidemiology (1.4k citations) and Molecular Medicine (90 citations). Gill‐Han Bai has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Sang‐Jae Kim, Yoon‐Hoh Kook, Bum‐Joon Kim, Hyeyoung Lee, Chang-Yong Cha, Gue‐Tae Chae, Sung‐Rae Cho, Eui-Chong Kim, Mi-Ae Lyu and Seung Hyun Lee. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Korean Medical Science, The Journal of Microbiology, Journal of Microbiological Methods and PROTEOMICS.
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.