Koichi Izumikawa
- Epidemiology top 0.5%
- Infectious Diseases top 0.5%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Medicine top 0.5%
- Co-authors
- Shigeru KohnoKatsunori YanagiharaHiroshi KakeyaTaiga MiyazakiTakahiro TakazonoYoshihiro YamamotoYoshitsugu MiyazakiShigeki Nakamura
- Topics
- Antifungal resistance and susceptibility (111 papers)Pneumonia and Respiratory Infections (76 papers)Fungal Infections and Studies (67 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEClinical Infectious Diseases
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Koichi Izumikawa
328 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 132
- Epidemiology 2.5k
- Infectious Diseases 2.4k
- Molecular Biology 803
- Pulmonary and Respiratory Medicine 704
- Molecular Medicine 566
Countries citing papers authored by Koichi Izumikawa
This map shows the geographic impact of Koichi Izumikawa'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 Izumikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Izumikawa more than expected).
Fields of papers citing papers by Koichi Izumikawa
This network shows the impact of papers produced by Koichi Izumikawa. 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 Izumikawa. The network helps show where Koichi Izumikawa may publish in the future.
Co-authorship network of co-authors of Koichi Izumikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Izumikawa. A scholar is included among the top collaborators of Koichi Izumikawa 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 Koichi Izumikawa. Koichi Izumikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | 23 | |
| 17 | 11 | |
| 18 | Current status of drug-resistant Aspergillus : evolution of resistance and future | 4 |
| 19 | The first telithromycin-resistant Streptococcus pneumoniae isolate in Japan associated with erm(B) and mutations in 23S rRNA and riboprotein L4. | 10 |
| 20 | 3 |
About Koichi Izumikawa
Koichi Izumikawa is a scholar working on Infectious Diseases, Microbiology and Molecular Medicine, having authored 353 papers that have together received 4.8k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (111 papers), Pneumonia and Respiratory Infections (76 papers) and Fungal Infections and Studies (67 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Molecular Medicine (566 citations) and Applied Microbiology and Biotechnology (159 citations). Koichi Izumikawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shigeru Kohno, Katsunori Yanagihara, Hiroshi Kakeya, Taiga Miyazaki, Takahiro Takazono, Yoshihiro Yamamoto, Yoshitsugu Miyazaki, Shigeki Nakamura, Yoshitomo Morinaga and Yoshifumi Imamura. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.
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.