Kinya Nomura
- Plant Science top 0.1%
- Molecular Biology top 5%
- Insect Science top 0.5%
- Cell Biology top 2%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Sheng Yang HeMaeli MelottoWilliam UnderwoodJessica M. KoczanGregg A. HoweJohn BrowseLeron KatsirBryan Thines
- Topics
- Plant-Microbe Interactions and Immunity (27 papers)Plant Pathogenic Bacteria Studies (21 papers)Plant Parasitism and Resistance (14 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Kinya Nomura
36 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Plant Science 6.8k
- Molecular Biology 1.9k
- Insect Science 1.2k
- Cell Biology 532
- Ecology, Evolution, Behavior and Systematics 432
Countries citing papers authored by Kinya Nomura
This map shows the geographic impact of Kinya Nomura'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 Kinya Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinya Nomura more than expected).
Fields of papers citing papers by Kinya Nomura
This network shows the impact of papers produced by Kinya Nomura. 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 Kinya Nomura. The network helps show where Kinya Nomura may publish in the future.
Co-authorship network of co-authors of Kinya Nomura
This figure shows the co-authorship network connecting the top 25 collaborators of Kinya Nomura. A scholar is included among the top collaborators of Kinya Nomura 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 Kinya Nomura. Kinya Nomura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 29 | |
| 3 | 7 | |
| 4 | Phytocytokine signalling reopens stomata in plant immunity and water lossbreakdown → | 121 |
| 5 | Increasing the resilience of plant immunity to a warming climatebreakdown → | 141 |
| 6 | 71 | |
| 7 | A plant genetic network for preventing dysbiosis in the phyllospherebreakdown → | 378 |
| 8 | 17 | |
| 9 | Bacteria establish an aqueous living space in plants crucial for virulencebreakdown → | 315 |
| 10 | 51 | |
| 11 | 285 | |
| 12 | JAZ repressor proteins are targets of the SCFCOI1 complex during jasmonate signallingbreakdown → | 1934 |
| 13 | 393 | |
| 14 | 212 | |
| 15 | 16 | |
| 16 | 258 | |
| 17 | 22 | |
| 18 | 34 | |
| 19 | 7 | |
| 20 | 12 |
About Kinya Nomura
Kinya Nomura is a scholar working on Endocrinology, Plant Science and Insect Science, having authored 36 papers that have together received 7.5k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (27 papers), Plant Pathogenic Bacteria Studies (21 papers) and Plant Parasitism and Resistance (14 papers). The work is most often cited by research in Plant Science (6.8k citations), Insect Science (1.2k citations) and Horticulture (61 citations). Kinya Nomura has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Sheng Yang He, Maeli Melotto, William Underwood, Jessica M. Koczan, Gregg A. Howe, John Browse, Leron Katsir, Bryan Thines, Yajie Niu and Guang‐Hui Liu. Their work appears in journals such as Nature, Science and Cell.
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.