Fumiaki Ikeda
- Infectious Diseases top 1%
- Epidemiology top 5%
- Pharmacology top 2%
- Molecular Biology
- Small Animals top 1%
- Co-authors
- Toru NakaiKazuo HatanoKatsuyuki MakiShuichi TawaraSatoru MatsumotoYoshimi WakaiToshio GotoYoshihiro Yokota
- Topics
- Antifungal resistance and susceptibility (25 papers)Fungal Infections and Studies (14 papers)Antibiotic Resistance in Bacteria (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
Fumiaki Ikeda
75 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 112
- Infectious Diseases 1.1k
- Epidemiology 881
- Pharmacology 525
- Molecular Biology 404
- Small Animals 298
Countries citing papers authored by Fumiaki Ikeda
This map shows the geographic impact of Fumiaki Ikeda'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 Fumiaki Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumiaki Ikeda more than expected).
Fields of papers citing papers by Fumiaki Ikeda
This network shows the impact of papers produced by Fumiaki Ikeda. 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 Fumiaki Ikeda. The network helps show where Fumiaki Ikeda may publish in the future.
Co-authorship network of co-authors of Fumiaki Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Fumiaki Ikeda. A scholar is included among the top collaborators of Fumiaki Ikeda 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 Fumiaki Ikeda. Fumiaki Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 21 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 30 | |
| 7 | 109 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | MIC of micafungin against fresh clinical isolates of genus Candida and Aspergillus | 1 |
| 11 | 149 | |
| 12 | 49 | |
| 13 | 66 | |
| 14 | 7 | |
| 15 | 16 | |
| 16 | 28 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | Antagonism of cephem antibiotics and β-Lactamase induction in gram-negative bacilli | 2 |
About Fumiaki Ikeda
Fumiaki Ikeda is a scholar working on Molecular Medicine, Infectious Diseases and Pharmacology, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (25 papers), Fungal Infections and Studies (14 papers) and Antibiotic Resistance in Bacteria (12 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Molecular Medicine (286 citations) and Small Animals (298 citations). Fumiaki Ikeda has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Toru Nakai, Kazuo Hatano, Katsuyuki Maki, Shuichi Tawara, Satoru Matsumoto, Yoshimi Wakai, Toshio Goto, Yoshihiro Yokota, Yoshimi Matsumoto and Fumio Matsumoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.