Masato Nonoyama
- Epidemiology
- Pulmonary and Respiratory Medicine
- Microbiology top 5%
- Infectious Diseases
- Molecular Medicine top 10%
- Co-authors
- Ryoichi OkamotoMatsuhisa InoueThomas E. DolmageSunita MathurTakashi IdaRoger GoldsteinKylie HillDeborah Brooks
- Topics
- Pneumonia and Respiratory Infections (12 papers)Bacterial Infections and Vaccines (11 papers)Antibiotic Resistance in Bacteria (5 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Masato Nonoyama
24 papers receiving 395 citations
Peers
Comparison fields: 5 of 74
- Epidemiology 142
- Pulmonary and Respiratory Medicine 110
- Microbiology 101
- Infectious Diseases 90
- Molecular Medicine 71
Countries citing papers authored by Masato Nonoyama
This map shows the geographic impact of Masato Nonoyama'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 Masato Nonoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Nonoyama more than expected).
Fields of papers citing papers by Masato Nonoyama
This network shows the impact of papers produced by Masato Nonoyama. 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 Masato Nonoyama. The network helps show where Masato Nonoyama may publish in the future.
Co-authorship network of co-authors of Masato Nonoyama
This figure shows the co-authorship network connecting the top 25 collaborators of Masato Nonoyama. A scholar is included among the top collaborators of Masato Nonoyama 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 Masato Nonoyama. Masato Nonoyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 22 | |
| 5 | 11 | |
| 6 | 136 | |
| 7 | 9 | |
| 8 | [Efficacy and safety of faropenem in pediatric patients with bacterial infectious diseases]. | 5 |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 19 | |
| 12 | Population pharmacokinetics of arbekacin in pediatric patients. | 2 |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 14 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 73 | |
| 19 | 1 | |
| 20 | Antimicrobial activity of arbekacin, a new aminoglycoside antibiotic, against methicillin-resistant Staphylococcus aureus. | 31 |
About Masato Nonoyama
Masato Nonoyama is a scholar working on Microbiology, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 24 papers that have together received 422 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (12 papers), Bacterial Infections and Vaccines (11 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Microbiology (101 citations), Molecular Medicine (71 citations) and Complementary and alternative medicine (62 citations). Masato Nonoyama has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Ryoichi Okamoto, Matsuhisa Inoue, Thomas E. Dolmage, Sunita Mathur, Takashi Ida, Roger Goldstein, Kylie Hill, Deborah Brooks, Marla Beauchamp and Keisuke Sunakawa. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Thorax and Journal of Hospital Infection.
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.