Katsuhiro Konno
- Molecular Biology top 5%
- Genetics top 1%
- Microbiology top 0.2%
- Insect Science top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Haruhisa ShirahamaHiroaki TakayamaMário Sérgio PalmaTakeshi MatsumotoDaniel C. PimentaAntônio Carlos Martins de CamargoRenato FontanaBibiana Monson de Souza
- Topics
- Venomous Animal Envenomation and Studies (33 papers)Insect and Pesticide Research (31 papers)Antimicrobial Peptides and Activities (28 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- JapanBrazilUnited States
In The Last Decade
Katsuhiro Konno
202 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.5k
- Genetics 1.4k
- Microbiology 1.1k
- Insect Science 1.0k
- Cellular and Molecular Neuroscience 1.0k
Countries citing papers authored by Katsuhiro Konno
This map shows the geographic impact of Katsuhiro 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 Katsuhiro Konno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuhiro Konno more than expected).
Fields of papers citing papers by Katsuhiro Konno
This network shows the impact of papers produced by Katsuhiro 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 Katsuhiro Konno. The network helps show where Katsuhiro Konno may publish in the future.
Co-authorship network of co-authors of Katsuhiro Konno
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhiro Konno. A scholar is included among the top collaborators of Katsuhiro 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 Katsuhiro Konno. Katsuhiro 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 | 2 | |
| 2 | 9 | |
| 3 | 19 | |
| 4 | [Poisoning by accidental ingestion of poisonous plants]. | 2 |
| 5 | 8 | |
| 6 | 40 | |
| 7 | Nicotinic acetylcholine receptors modulation by a snake toxin | 1 |
| 8 | 13 | |
| 9 | 60 | |
| 10 | 27 | |
| 11 | 8 | |
| 12 | 101 | |
| 13 | 9 | |
| 14 | 15 | |
| 15 | 53 | |
| 16 | 47 | |
| 17 | 27 | |
| 18 | 5 | |
| 19 | 44 | |
| 20 | 4 |
About Katsuhiro Konno
Katsuhiro Konno is a scholar working on Microbiology, Insect Science and Cellular and Molecular Neuroscience, having authored 204 papers that have together received 5.4k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (33 papers), Insect and Pesticide Research (31 papers) and Antimicrobial Peptides and Activities (28 papers). The work is most often cited by research in Microbiology (1.1k citations), Insect Science (1.0k citations) and Cellular and Molecular Neuroscience (1.0k citations). Katsuhiro Konno has collaborated with scholars based in Japan, Brazil and United States. Frequent co-authors include Haruhisa Shirahama, Hiroaki Takayama, Mário Sérgio Palma, Takeshi Matsumoto, Daniel C. Pimenta, Antônio Carlos Martins de Camargo, Renato Fontana, Bibiana Monson de Souza, Toshie Fujishima and Kohei Kazuma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.