Mitsuru Yasuda
- Microbiology top 0.1%
- Epidemiology top 5%
- Surgery top 5%
- Physiology top 5%
- Molecular Medicine top 1%
- Co-authors
- Takashi DeguchiMasahiro NakanoShigeaki YokoiYukimichi KawadaShin ItoShinichi MaedaTakayuki EzakiHiroaki Ishiko
- Topics
- Reproductive tract infections research (76 papers)Urinary Tract Infections Management (30 papers)Bacterial Infections and Vaccines (29 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAnalytical Chemistry
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Mitsuru Yasuda
139 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 115
- Microbiology 1.9k
- Epidemiology 868
- Surgery 626
- Physiology 574
- Molecular Medicine 499
Countries citing papers authored by Mitsuru Yasuda
This map shows the geographic impact of Mitsuru Yasuda'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 Mitsuru Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuru Yasuda more than expected).
Fields of papers citing papers by Mitsuru Yasuda
This network shows the impact of papers produced by Mitsuru Yasuda. 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 Mitsuru Yasuda. The network helps show where Mitsuru Yasuda may publish in the future.
Co-authorship network of co-authors of Mitsuru Yasuda
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuru Yasuda. A scholar is included among the top collaborators of Mitsuru Yasuda 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 Mitsuru Yasuda. Mitsuru Yasuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 21 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 20 | |
| 7 | 5 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | Sensibilidade a antifúngicos de Candida tropicalis isolada de pacientes com candidemia | 1 |
| 14 | 6 | |
| 15 | 8 | |
| 16 | Association of Mycoplasmas with Persistent or Recurrent Non-gonococcal Urethritis | 2 |
| 17 | 9 | |
| 18 | Clinical significance of DNA gyrase gyrA mutations in quinolone-resistant urinary isolates of Pseudomonas aeruginosa. | 2 |
| 19 | 12 | |
| 20 | 12 |
About Mitsuru Yasuda
Mitsuru Yasuda is a scholar working on Microbiology, Molecular Medicine and Urology, having authored 143 papers that have together received 3.1k indexed citations. Recurring topics across this work include Reproductive tract infections research (76 papers), Urinary Tract Infections Management (30 papers) and Bacterial Infections and Vaccines (29 papers). The work is most often cited by research in Microbiology (1.9k citations), Molecular Medicine (499 citations) and Urology (235 citations). Mitsuru Yasuda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Takashi Deguchi, Masahiro Nakano, Shigeaki Yokoi, Yukimichi Kawada, Shin Ito, Shinichi Maeda, Takayuki Ezaki, Hiroaki Ishiko, Shinichi Ito and Tomohiro Tsuchiya. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.
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.