Norio Doi
- Infectious Diseases top 5%
- Epidemiology
- Molecular Biology
- Organic Chemistry
- Molecular Medicine top 10%
- Co-authors
- Areeya DisratthakitYuko KazumiShinji MaedaHitoshi HotodaMasayo KakutaNaotoshi YamamuraAngkana ChaiprasertTetsufumi Koga
- Topics
- Tuberculosis Research and Epidemiology (12 papers)Mycobacterium research and diagnosis (8 papers)Cancer therapeutics and mechanisms (5 papers)
- Journals
- The Journal of ImmunologyAntimicrobial Agents and ChemotherapyJournal of Antimicrobial Chemotherapy
- Partner nations
- JapanThailandSwitzerland
In The Last Decade
Norio Doi
19 papers receiving 377 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 256
- Epidemiology 199
- Molecular Biology 157
- Organic Chemistry 65
- Molecular Medicine 56
Countries citing papers authored by Norio Doi
This map shows the geographic impact of Norio Doi'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 Norio Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norio Doi more than expected).
Fields of papers citing papers by Norio Doi
This network shows the impact of papers produced by Norio Doi. 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 Norio Doi. The network helps show where Norio Doi may publish in the future.
Co-authorship network of co-authors of Norio Doi
This figure shows the co-authorship network connecting the top 25 collaborators of Norio Doi. A scholar is included among the top collaborators of Norio Doi 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 Norio Doi. Norio Doi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 23 | |
| 3 | 36 | |
| 4 | 7 | |
| 5 | 32 | |
| 6 | 62 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | [Susceptibility test of the Mycobacterium avium complex to sixteen anti-infective agents]. | 1 |
| 10 | 37 | |
| 11 | [New horizons of next generation chemotherapy for mycobacteriosis]. | 1 |
| 12 | Characterization of In Vivo Activity of Novel Anti-TB Drug Candidates OPC-67683 and PA-824 in Murine TB Models | 1 |
| 13 | 20 | |
| 14 | 76 | |
| 15 | 1 | |
| 16 | Current status in the development of new anti-tuberculosis drugs | 0 |
| 17 | 1 | |
| 18 | 46 | |
| 19 | [Development of the intratracheal infection model of experimental murine mycobacteriosis: comparison with the intravenous infection model]. | 3 |
| 20 | 1 |
About Norio Doi
Norio Doi is a scholar working on Infectious Diseases, Molecular Medicine and Pharmaceutical Science, having authored 20 papers that have together received 389 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (8 papers) and Cancer therapeutics and mechanisms (5 papers). The work is most often cited by research in Infectious Diseases (256 citations), Molecular Medicine (56 citations) and Epidemiology (199 citations). Norio Doi has collaborated with scholars based in Japan, Thailand and Switzerland. Frequent co-authors include Areeya Disratthakit, Yuko Kazumi, Shinji Maeda, Hitoshi Hotoda, Masayo Kakuta, Naotoshi Yamamura, Angkana Chaiprasert, Tetsufumi Koga, Therdsak Prammananan and Yasunori Muramatsu. Their work appears in journals such as The Journal of Immunology, Antimicrobial Agents and Chemotherapy and Journal of Antimicrobial Chemotherapy.
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.