Norio Doi

19 papers receiving 377 citations

Peers

Norio Doi
Comparison fields: 5 of 50
  • Infectious Diseases 256
  • Molecular Medicine 56
  • Epidemiology 199
  • Pharmaceutical Science 17
  • Pharmacology 44
Replace Suresh B. Lakshminarayana with:
Suresh B. Lakshminarayana Singapore
Lisa K. Woolhiser United States
Elizabeth J. Brooks United States
Fátima Ortega Spain
Peter C. Ray United Kingdom
O. B. Ryabova Russia
Dustin Wilson United States
Tamara Hess United States
Chiranjibi Chhotaray China
David Barros-Aguirre Spain
Norio Doi relative to Suresh B. Lakshminarayana Singapore Suresh B. Lakshminarayana's profile →
Citations per field
00.5×1.6×
Suresh B. Lakshminarayana · 1×
Citations per year

Countries citing papers authored by Norio Doi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Norio Doi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Norio Doi Line = papers co-authored together Norio Doi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200476
2 201362
3 199846
4 201037
5 201436
6 201432
7 201523
8 201623
9 200820
10 201117
11 20147
12
[Development of the intratracheal infection model of experimental murine mycobacteriosis: comparison with the intravenous infection model].
19983
13
Characterization of In Vivo Activity of Novel Anti-TB Drug Candidates OPC-67683 and PA-824 in Murine TB Models
20081
14 19981
15 20101
16
[Susceptibility test of the Mycobacterium avium complex to sixteen anti-infective agents].
20101
17
[New horizons of next generation chemotherapy for mycobacteriosis].
20091
18 20031
19 19861
20
Current status in the development of new anti-tuberculosis drugs
20020

About Norio Doi

Norio Doi is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Pharmacology, 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), Cancer therapeutics and mechanisms (5 papers), Antibiotic Resistance in Bacteria (3 papers), Infectious Diseases and Tuberculosis (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Advanced Drug Delivery Systems (2 papers). The work is most often cited by research in Infectious Diseases (256 citations), Molecular Medicine (56 citations), Epidemiology (199 citations), Pharmaceutical Science (17 citations) and Pharmacology (44 citations). Norio Doi has collaborated with scholars based in Japan, Thailand and Switzerland. Frequent co-authors include Areeya Disratthakit, Yuko Kazumi, Shinji Maeda, Masayo Kakuta, Therdsak Prammananan, Angkana Chaiprasert, Iyarit Thaipisuttikul, Tetsufumi Koga, Takashi Fukuoka and Yasunori Muramatsu. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Antibiotics, Infection Genetics and Evolution, Drug Delivery and The Journal of Immunology.

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.

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