G H Bai
- Epidemiology top 5%
- Infectious Diseases top 2%
- Surgery
- Molecular Biology
- Molecular Medicine top 5%
- Co-authors
- D A RouseS L MorrisMary FairchokLeopoldo Portillo-GómezPhillip Noel SuffysS.M. MorrisBum‐Joon KimSang‐Nae Cho
- Topics
- Mycobacterium research and diagnosis (19 papers)Tuberculosis Research and Epidemiology (18 papers)Bacteriophages and microbial interactions (4 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
G H Bai
26 papers receiving 892 citations
Peers
Comparison fields: 5 of 83
- Epidemiology 706
- Infectious Diseases 704
- Surgery 265
- Molecular Biology 210
- Molecular Medicine 102
Countries citing papers authored by G H Bai
This map shows the geographic impact of G H 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 G H Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G H Bai more than expected).
Fields of papers citing papers by G H Bai
This network shows the impact of papers produced by G H 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 G H Bai. The network helps show where G H Bai may publish in the future.
Co-authorship network of co-authors of G H Bai
This figure shows the co-authorship network connecting the top 25 collaborators of G H Bai. A scholar is included among the top collaborators of G H Bai 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 G H Bai. G H Bai 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | Recovery rate of NTM from AFB smear-positive sputum specimens at a medical centre in South Korea. | 38 |
| 6 | 132 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | Cross-resistance between rifampicin and KRM-1648 is associated with specific rpoB alleles in Mycobacterium tuberculosis. | 11 |
| 10 | 43 | |
| 11 | 8 | |
| 12 | Exclusive mutations related to isoniazid and ethionamide resistance among Mycobacterium tuberculosis isolates from Korea. | 39 |
| 13 | Identification of mycobacterial species by comparative sequence analysis of the RNA polymerase gene (rpoB) | 12 |
| 14 | 58 | |
| 15 | 30 | |
| 16 | 195 | |
| 17 | 2 | |
| 18 | Clinically Isolated Mycobacteria other than Mycobacterium tuberculosis from 1980 to 1990 in Korea | 12 |
| 19 | 0 | |
| 20 | 7 |
About G H Bai
G H Bai is a scholar working on Infectious Diseases, Epidemiology and Instrumentation, having authored 28 papers that have together received 940 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (19 papers), Tuberculosis Research and Epidemiology (18 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Infectious Diseases (704 citations), Molecular Medicine (102 citations) and Epidemiology (706 citations). G H Bai has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include D A Rouse, S L Morris, Mary Fairchok, Leopoldo Portillo-Gómez, Phillip Noel Suffys, S.M. Morris, Bum‐Joon Kim, Sang‐Nae Cho, Young Yil Bahk and Yu Sam Kim. Their work appears in journals such as Diabetes, Journal of Clinical Microbiology and The Journal of Infectious Diseases.
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.