Yohei Doi

35.8k citations
373 papers · 22.3k indexed · 10 hit papers · h-index 70

Yohei Doi

355 papers receiving 21.9k citations

Hit Papers

Efficacy a...46201220262016202110002.0k3.0k

Peers

Yohei Doi
Comparison fields: 5 of 170
  • Molecular Medicine 17.5k
  • Applied Microbiology and Biotechnology 3.4k
  • Endocrinology 6.0k
  • Pollution 4.4k
  • Pharmacology 6.1k
Replace Gian María Rossolini with:
Gian María Rossolini Italy
Christian G. Giske Sweden
Neil Woodford United Kingdom
Karen Bush United States
Rafael Cantón Spain
Thierry Naas France
David M. Livermore United Kingdom
David C. Hooper United States
Harald Seifert Germany
Gunnar Kahlmeter Sweden
Yohei Doi relative to Gian María Rossolini Italy Gian María Rossolini's profile →
Citations per field
00.5×1.5×1.9×
Gian María Rossolini · 1×
Citations per year

Countries citing papers authored by Yohei Doi

Since Specialization
Citations

This map shows the geographic impact of Yohei 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 Yohei Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yohei Doi more than expected).

Fields of papers citing papers by Yohei Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yohei 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 Yohei Doi. The network helps show where Yohei Doi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yohei 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 Yohei Doi Line = papers co-authored together Yohei Doi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20251
3 20250
4 20250
5 202412
6 20242
7 20241
8 202329
9 20232
10 202316
11 20239
12 202310
13 202290
14 2020202
15 202023
16 20202
17 201759
18
Emergence of Ceftazidime-Avibactam Resistance Due to Plasmid-Borne bla KPC-3 Mutations during Treatment of Carbapenem-Resistant Klebsiella pneumoniae Infectionsbreakdown →
2016393
19
Treatment Outcome of Bacteremia Due to KPC-Producing Klebsiella pneumoniae: Superiority of Combination Antimicrobial Regimensbreakdown →
2012438
20 2008109

About Yohei Doi

Yohei Doi is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 373 papers that have together received 22.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (265 papers), Antibiotics Pharmacokinetics and Efficacy (98 papers), Vibrio bacteria research studies (55 papers), Bacterial Identification and Susceptibility Testing (46 papers), Antibiotic Use and Resistance (38 papers), Pharmaceutical and Antibiotic Environmental Impacts (34 papers), Urinary Tract Infections Management (28 papers) and Bacterial biofilms and quorum sensing (26 papers). The work is most often cited by research in Molecular Medicine (17.5k citations), Applied Microbiology and Biotechnology (3.4k citations) and Endocrinology (6.0k citations). Yohei Doi has collaborated with scholars based in United States, Japan and China. Frequent co-authors include David L. Paterson, David van Duin, Guo‐Bao Tian, Yoshichika Arakawa, Ryan K. Shields, Robert A. Bonomo, Jennifer Adams‐Haduch, Jian–Hua Liu, Xi Huang and Jianzhong Shen. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Clinical Infectious Diseases, Open Forum Infectious Diseases, Journal of Antimicrobial Chemotherapy and Journal of Clinical Microbiology.

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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