Satoshi Konno
- Infectious Diseases top 5%
- Pulmonary and Respiratory Medicine
- Physiology
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Mutsumi NishidaOliver HausmannOlga KrupkováKoichiro AsanoTakanori TeshimaIsao YokotaKarin Wuertz‐KozakJuergen Klasen
- Topics
- SARS-CoV-2 detection and testing (8 papers)COVID-19 Clinical Research Studies (5 papers)Biosensors and Analytical Detection (5 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Satoshi Konno
28 papers receiving 543 citations
Peers
Comparison fields: 5 of 85
- Infectious Diseases 277
- Pulmonary and Respiratory Medicine 120
- Physiology 118
- Molecular Biology 96
- Biomedical Engineering 69
Countries citing papers authored by Satoshi Konno
This map shows the geographic impact of Satoshi Konno'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 Satoshi Konno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Konno more than expected).
Fields of papers citing papers by Satoshi Konno
This network shows the impact of papers produced by Satoshi Konno. 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 Satoshi Konno. The network helps show where Satoshi Konno may publish in the future.
Co-authorship network of co-authors of Satoshi Konno
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Konno. A scholar is included among the top collaborators of Satoshi Konno 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 Satoshi Konno. Satoshi Konno 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 29 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 25 | |
| 15 | 137 | |
| 16 | 5 | |
| 17 | 14 | |
| 18 | 28 | |
| 19 | 34 | |
| 20 | [The effect of a selective 5-lipoxygenase inhibitor, AA-861 on airway hyperresponsiveness induced by ozone exposure in dogs]. | 1 |
About Satoshi Konno
Satoshi Konno is a scholar working on General Dentistry, Infectious Diseases and Physiology, having authored 34 papers that have together received 565 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (8 papers), COVID-19 Clinical Research Studies (5 papers) and Biosensors and Analytical Detection (5 papers). The work is most often cited by research in Infectious Diseases (277 citations), General Dentistry (22 citations) and Complementary and alternative medicine (40 citations). Satoshi Konno has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Mutsumi Nishida, Oliver Hausmann, Olga Krupková, Koichiro Asano, Takanori Teshima, Isao Yokota, Karin Wuertz‐Kozak, Juergen Klasen, Shinichi Fujisawa and Miho Sekiguchi. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.
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.