M. Kai
Impact in
- Infectious Diseases top 10%
- Leprosy Research and Treatment
- Tuberculosis Research and Epidemiology
- Clostridium difficile and Clostridium perfringens research
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- Mycobacterium research and diagnosis
- Pneumonia and Respiratory Infections
- Respiratory viral infections research
Papers in
-
- Mycobacterium research and diagnosis 4
- Pneumonia and Respiratory Infections 2
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- Tuberculosis Research and Epidemiology 4
- Leprosy Research and Treatment 4
- Co-authors
- Shigeru Kamiya (4 shared papers)S. Sawamura (3 shared papers)Noboru Nakata (4 shared papers)Atsushi Ozawa (2 shared papers)Yoshiko Kashiwabara (2 shared papers)A. Ozawa (2 shared papers)Kazuo Kobayashi (1 shared paper)Shinyu Izumi (1 shared paper)
- Journals
- Journal of Medical Microbiology (2 papers)Neuroscience (1 paper)Hormone and Metabolic Research (1 paper)Journal of Lipid Research (1 paper)Gene Therapy (1 paper)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
M. Kai
17 papers receiving 405 citations
Peers
Comparison fields: 5 of 80
- Infectious Diseases 161
- Epidemiology 162
- Microbiology 29
- Hepatology 32
- Endocrinology 11
Countries citing papers authored by M. Kai
This map shows the geographic impact of M. Kai'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 M. Kai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kai more than expected).
Fields of papers citing papers by M. Kai
This network shows the impact of papers produced by M. Kai. 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 M. Kai. The network helps show where M. Kai may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Kai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Mycobacterium leprae typing by genomic diversity and global distribution of genotypes. | 2000 | 61 |
| 2 | 1994 | 50 | |
| 3 | 1993 | 39 | |
| 4 | 1995 | 35 | |
| 5 | 2011 | 30 | |
| 6 | 2000 | 30 | |
| 7 | 1993 | 28 | |
| 8 | 2012 | 27 | |
| 9 | 2010 | 27 | |
| 10 | 2003 | 25 | |
| 11 | 1991 | 17 | |
| 12 | 2014 | 11 | |
| 13 | 2005 | 11 | |
| 14 | A case of hepatocellular carcinoma effectively treated with epirubicin aqueous vesicles in monodispersed iodized poppy-seed oil microdroplets. | 1997 | 9 |
| 15 | 2013 | 6 | |
| 16 | 2002 | 4 | |
| 17 | 2004 | 3 | |
| 18 | 2008 | 0 |
About M. Kai
M. Kai is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Hepatology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 413 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers), Leprosy Research and Treatment (4 papers), Pneumonia and Respiratory Infections (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Gut microbiota and health (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Infectious Diseases (161 citations), Epidemiology (162 citations), Microbiology (29 citations), Hepatology (32 citations) and Endocrinology (11 citations). M. Kai has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Shigeru Kamiya, S. Sawamura, Noboru Nakata, Atsushi Ozawa, Yoshiko Kashiwabara, A. Ozawa, Kazuo Kobayashi, Shinyu Izumi, Sayaka Maeda and Thomas P. Gillis. Their work appears in journals such as Journal of Medical Microbiology, Neuroscience, Hormone and Metabolic Research, Journal of Lipid Research and Gene Therapy.
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.