Naoto Rikitomi
- Epidemiology top 10%
- Microbiology top 5%
- Pulmonary and Respiratory Medicine
- Infectious Diseases
- Molecular Biology
- Co-authors
- Tsuyoshi NagatakeKeizō MatsumotoKamruddin AhmedKiwao WatanabeKinzo MatsumotoSamir K. SahaM. RuhulaminR. Bradley Sack
- Topics
- Pneumonia and Respiratory Infections (12 papers)Pediatric health and respiratory diseases (8 papers)Bacterial Infections and Vaccines (8 papers)
- Partner nations
- JapanBangladeshUnited States
In The Last Decade
Naoto Rikitomi
43 papers receiving 479 citations
Peers
Comparison fields: 5 of 88
- Epidemiology 282
- Microbiology 135
- Pulmonary and Respiratory Medicine 117
- Infectious Diseases 87
- Molecular Biology 58
Countries citing papers authored by Naoto Rikitomi
This map shows the geographic impact of Naoto Rikitomi'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 Naoto Rikitomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoto Rikitomi more than expected).
Fields of papers citing papers by Naoto Rikitomi
This network shows the impact of papers produced by Naoto Rikitomi. 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 Naoto Rikitomi. The network helps show where Naoto Rikitomi may publish in the future.
Co-authorship network of co-authors of Naoto Rikitomi
This figure shows the co-authorship network connecting the top 25 collaborators of Naoto Rikitomi. A scholar is included among the top collaborators of Naoto Rikitomi 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 Naoto Rikitomi. Naoto Rikitomi 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 | 18 | |
| 3 | 28 | |
| 4 | 3 | |
| 5 | 29 | |
| 6 | 40 | |
| 7 | Susceptibility of Staphylococcus aureus on geriatric wards after introduction of preventive measures against hospital infection | 1 |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 19 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | LABORATORY AND CLINICAL EVALUATION OF LENAMPICILLIN (KBT-1585) IN RESPIRATORY INFECTION | 3 |
| 17 | The pathogenic strains of staphylococcus aureus lately isolated in Japan: Part 1 Susceptibility to beta-lactam antibiotics | 1 |
| 18 | Study on polymicrobial respiratory tract infections, utilizing the quantitative sputum culture method | 2 |
| 19 | 2 | |
| 20 | 1 |
About Naoto Rikitomi
Naoto Rikitomi is a scholar working on Microbiology, Emergency Medical Services and Critical Care and Intensive Care Medicine, having authored 44 papers that have together received 507 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (12 papers), Pediatric health and respiratory diseases (8 papers) and Bacterial Infections and Vaccines (8 papers). The work is most often cited by research in Microbiology (135 citations), Molecular Medicine (43 citations) and Epidemiology (282 citations). Naoto Rikitomi has collaborated with scholars based in Japan, Bangladesh and United States. Frequent co-authors include Tsuyoshi Nagatake, Keizō Matsumoto, Kamruddin Ahmed, Kiwao Watanabe, Kinzo Matsumoto, Samir K. Saha, M. Ruhulamin, R. Bradley Sack, Mohammed Hanif and Hideaki Senjyu. Their work appears in journals such as Journal of Clinical Microbiology, FEMS Microbiology Letters and Respirology.
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.