Teruo Nonomura
- Plant Science top 2%
- Cell Biology top 5%
- Insect Science top 2%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Yoshinori MatsudaHideyoshi ToyodaKoji KakutaniShin-ichi KusakariYoshihiro TakikawaJunji KimbaraH. ToyodaYuling Bai
- Topics
- Powdery Mildew Fungal Diseases (51 papers)Plant Pathogens and Fungal Diseases (40 papers)Plant Pathogens and Resistance (33 papers)
- Journals
- Angewandte Chemie International EditionNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- JapanChinaUnited States
In The Last Decade
Teruo Nonomura
103 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 69
- Plant Science 1.1k
- Cell Biology 393
- Insect Science 269
- Molecular Biology 188
- Ecology, Evolution, Behavior and Systematics 174
Countries citing papers authored by Teruo Nonomura
This map shows the geographic impact of Teruo Nonomura'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 Teruo Nonomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruo Nonomura more than expected).
Fields of papers citing papers by Teruo Nonomura
This network shows the impact of papers produced by Teruo Nonomura. 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 Teruo Nonomura. The network helps show where Teruo Nonomura may publish in the future.
Co-authorship network of co-authors of Teruo Nonomura
This figure shows the co-authorship network connecting the top 25 collaborators of Teruo Nonomura. A scholar is included among the top collaborators of Teruo Nonomura 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 Teruo Nonomura. Teruo Nonomura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 24 | |
| 13 | 19 | |
| 14 | 17 | |
| 15 | 35 | |
| 16 | (161) Sensitivity of Tomato Powdery Mildew Oidium neolycopersici to Commercially Available Fungicides(Abstracts of the Papers Presented at the Annual Meeting of the Society, Fukuoka, March 28-30, 2004) | 2 |
| 17 | 38 | |
| 18 | 13 | |
| 19 | 10 | |
| 20 | 3 |
About Teruo Nonomura
Teruo Nonomura is a scholar working on Cell Biology, Plant Science and Insect Science, having authored 109 papers that have together received 1.3k indexed citations. Recurring topics across this work include Powdery Mildew Fungal Diseases (51 papers), Plant Pathogens and Fungal Diseases (40 papers) and Plant Pathogens and Resistance (33 papers). The work is most often cited by research in Plant Science (1.1k citations), Cell Biology (393 citations) and Insect Science (269 citations). Teruo Nonomura has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yoshinori Matsuda, Hideyoshi Toyoda, Koji Kakutani, Shin-ichi Kusakari, Yoshihiro Takikawa, Junji Kimbara, H. Toyoda, Yuling Bai, Ling Xu and Richard G. F. Visser. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.
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.