Kenji Gomi
- Plant Science top 0.5%
- Molecular Biology top 5%
- Insect Science top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Cell Biology top 5%
- Co-authors
- Kazuya AkimitsuMakoto MatsuokaHidemi KitanoMotoyuki AshikariMiyako Ueguchi‐TanakaShiduku TaniguchiDaisuke TamaokiHironori Itoh
- Topics
- Plant-Microbe Interactions and Immunity (22 papers)Plant Parasitism and Resistance (19 papers)Insect-Plant Interactions and Control (19 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Kenji Gomi
90 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Plant Science 3.4k
- Molecular Biology 2.0k
- Insect Science 571
- Ecology, Evolution, Behavior and Systematics 434
- Cell Biology 256
Countries citing papers authored by Kenji Gomi
This map shows the geographic impact of Kenji Gomi'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 Kenji Gomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Gomi more than expected).
Fields of papers citing papers by Kenji Gomi
This network shows the impact of papers produced by Kenji Gomi. 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 Kenji Gomi. The network helps show where Kenji Gomi may publish in the future.
Co-authorship network of co-authors of Kenji Gomi
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Gomi. A scholar is included among the top collaborators of Kenji Gomi 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 Kenji Gomi. Kenji Gomi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 29 | |
| 3 | 16 | |
| 4 | 17 | |
| 5 | 63 | |
| 6 | 9 | |
| 7 | 48 | |
| 8 | 38 | |
| 9 | 37 | |
| 10 | 33 | |
| 11 | 47 | |
| 12 | Application of electronic speckle pattern interferometry to high-speed phenomena | 5 |
| 13 | 68 | |
| 14 | 98 | |
| 15 | 393 | |
| 16 | Accumulation of Phosphorylated Repressor for Gibberellin Signaling in an F-box Mutantbreakdown → | 531 |
| 17 | 38 | |
| 18 | Comparison and characterization of polygalacturonase inhibiting protein genes from the genus of citrus and its close related genera | 8 |
| 19 | 16 | |
| 20 | 14 |
About Kenji Gomi
Kenji Gomi is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 94 papers that have together received 4.1k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (22 papers), Plant Parasitism and Resistance (19 papers) and Insect-Plant Interactions and Control (19 papers). The work is most often cited by research in Plant Science (3.4k citations), Insect Science (571 citations) and Horticulture (29 citations). Kenji Gomi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Kazuya Akimitsu, Makoto Matsuoka, Hidemi Kitano, Motoyuki Ashikari, Miyako Ueguchi‐Tanaka, Shiduku Taniguchi, Daisuke Tamaoki, Hironori Itoh, Shigemi Seo and Yuya Uji. Their work appears in journals such as Science, The Plant Cell and Biochemical and Biophysical Research Communications.
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.