Norio Doi

23 papers receiving 463 citations

Peers

Norio Doi
Comparison fields: 5 of 67
  • Infectious Diseases 258
  • Molecular Medicine 52
  • Epidemiology 184
  • Pharmacology 54
  • Pharmaceutical Science 21
Replace Suresh B. Lakshminarayana with:
Suresh B. Lakshminarayana Singapore
Lisa K. Woolhiser United States
Arundhati Maitra United Kingdom
Jiuyu Liu United States
Gareth A. Prosser United Kingdom
Peter C. Ray United Kingdom
Jiyoun Nam South Korea
Bienyameen Baker South Africa
Sowmya Bharath India
Masayo Kakuta Japan
Norio Doi relative to Suresh B. Lakshminarayana Singapore Suresh B. Lakshminarayana's profile →
Citations per field
00.5×1.5×2.3×
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

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200481
2 201367
3 199847
4 201038
5 201438
6 201434
7 201231
8 200425
9 201623
10 201523
11 200823
12 201117
13 200815
14 20147
15 20096
16
[Development of the intratracheal infection model of experimental murine mycobacteriosis: comparison with the intravenous infection model].
19983
17 20102
18
Characterization of In Vivo Activity of Novel Anti-TB Drug Candidates OPC-67683 and PA-824 in Murine TB Models
20081
19 19981
20
[Susceptibility test of the Mycobacterium avium complex to sixteen anti-infective agents].
20101

About Norio Doi

Norio Doi is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Surgery and Pharmacology, having authored 24 papers that have together received 486 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (6 papers), Cancer therapeutics and mechanisms (5 papers), Antibiotic Resistance in Bacteria (3 papers), Infectious Diseases and Tuberculosis (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Infectious Diseases (258 citations), Molecular Medicine (52 citations), Epidemiology (184 citations), Pharmacology (54 citations) and Pharmaceutical Science (21 citations). Norio Doi has collaborated with scholars based in Japan, Thailand and Germany. Frequent co-authors include Areeya Disratthakit, Yuko Kazumi, Shinji Maeda, Jun‐ichiro Jo, Yasuhiko Tabata, Takashi Hirota, Tetsufumi Koga, Yasunori Muramatsu, Iyarit Thaipisuttikul and Therdsak Prammananan. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Drug Delivery, Journal of Antimicrobial Chemotherapy, Journal of Medical Microbiology 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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