Koichi Tanabe
Impact in
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antifungal resistance and susceptibility 24
- Co-authors
- Masakazu NiimiErwin LampingRichard D. CannonBrian C. MonkKyoko NiimiAnn R. HolmesMikhail V. KeniyaPhilippe V. Baret
- Journals
- Molecular Microbiology (3 papers)American Journal of Forensic Medicine & Pathology (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)Genes to Cells (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)
- Partner nations
- JapanNew ZealandUnited States
In The Last Decade
Koichi Tanabe
53 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Infectious Diseases 1.1k
- Molecular Medicine 160
- Epidemiology 808
- Microbiology 81
- Pharmacology 178
Countries citing papers authored by Koichi Tanabe
This map shows the geographic impact of Koichi Tanabe'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 Koichi Tanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Tanabe more than expected).
Fields of papers citing papers by Koichi Tanabe
This network shows the impact of papers produced by Koichi Tanabe. 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 Koichi Tanabe. The network helps show where Koichi Tanabe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Koichi Tanabe, 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 | 2023 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2017 | 3 | |
| 5 | 2017 | 9 | |
| 6 | 2016 | 3 | |
| 7 | 2014 | 12 | |
| 8 | 2013 | 25 | |
| 9 | 2013 | 23 | |
| 10 | 2010 | 47 | |
| 11 | 2009 | 11 | |
| 12 | 2006 | 3 | |
| 13 | 2005 | 9 | |
| 14 | 2005 | 14 | |
| 15 | 2004 | 29 | |
| 16 | 1998 | 2 | |
| 17 | 1997 | 12 | |
| 18 | 1993 | 5 | |
| 19 | 1990 | 13 | |
| 20 | 1988 | 2 |
About Koichi Tanabe
Koichi Tanabe is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Pharmacology and Oncology, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (24 papers), Fungal Infections and Studies (15 papers), Fungal and yeast genetics research (8 papers), Nail Diseases and Treatments (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Peptidase Inhibition and Analysis (4 papers) and Synthesis and Biological Evaluation (4 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Molecular Medicine (160 citations), Epidemiology (808 citations), Microbiology (81 citations) and Pharmacology (178 citations). Koichi Tanabe has collaborated with scholars based in Japan, New Zealand and United States. Frequent co-authors include Masakazu Niimi, Erwin Lamping, Richard D. Cannon, Brian C. Monk, Kyoko Niimi, Ann R. Holmes, Mikhail V. Keniya, Philippe V. Baret, André Goffeau and Yoshimasa Uehara. Their work appears in journals such as Molecular Microbiology, American Journal of Forensic Medicine & Pathology, Journal of Antimicrobial Chemotherapy, Genes to Cells and Antimicrobial Agents and 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.