Jun Ohnishi
Impact in
- Horticulture top 2%
- Parasitology top 1%
- Vector-borne infectious diseases
Papers in
-
- Plant Virus Research Studies 18
- Plant-Microbe Interactions and Immunity 7
- Plant Parasitism and Resistance 4
-
- Insect-Plant Interactions and Control 12
- Insect symbiosis and bacterial influences 4
- Co-authors
- Aravinda M. de Silva (3 shared papers)Joseph Piesman (2 shared papers)Shinya Tsuda (11 shared papers)Yasuhiro Ohta (7 shared papers)Isafumi Maru (7 shared papers)Yoji Tsukada (5 shared papers)Shusuke Miyata (1 shared paper)H. Inoue (1 shared paper)
- Journals
- Phytopathology (3 papers)Measurement Science and Technology (1 paper)BMC Plant Biology (1 paper)Journal of Bacteriology (1 paper)Journal of the American Podiatric Medical Association (1 paper)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Jun Ohnishi
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 87
- Horticulture 70
- Parasitology 403
- Insect Science 640
- Plant Science 807
- Endocrinology 96
Countries citing papers authored by Jun Ohnishi
This map shows the geographic impact of Jun Ohnishi'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 Jun Ohnishi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ohnishi more than expected).
Fields of papers citing papers by Jun Ohnishi
This network shows the impact of papers produced by Jun Ohnishi. 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 Jun Ohnishi. The network helps show where Jun Ohnishi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ohnishi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 271 | |
| 2 | 2009 | 200 | |
| 3 | 2007 | 109 | |
| 4 | 2001 | 101 | |
| 5 | 2018 | 86 | |
| 6 | 2009 | 82 | |
| 7 | 1998 | 81 | |
| 8 | 2007 | 69 | |
| 9 | 2002 | 61 | |
| 10 | 2009 | 44 | |
| 11 | 2003 | 43 | |
| 12 | 2016 | 39 | |
| 13 | 2009 | 31 | |
| 14 | 2006 | 27 | |
| 15 | 2016 | 27 | |
| 16 | 2002 | 27 | |
| 17 | 1999 | 27 | |
| 18 | 2013 | 24 | |
| 19 | 2008 | 24 | |
| 20 | 2005 | 24 |
About Jun Ohnishi
Jun Ohnishi is a scholar working on Plant Science, Insect Science, Molecular Biology, Epidemiology and Endocrinology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Virus Research Studies (18 papers), Insect-Plant Interactions and Control (12 papers), Plant-Microbe Interactions and Immunity (7 papers), Glycosylation and Glycoproteins Research (5 papers), Plant and Fungal Interactions Research (4 papers), Plant Parasitism and Resistance (4 papers), Insect symbiosis and bacterial influences (4 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Horticulture (70 citations), Parasitology (403 citations), Insect Science (640 citations), Plant Science (807 citations) and Endocrinology (96 citations). Jun Ohnishi has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Aravinda M. de Silva, Joseph Piesman, Shinya Tsuda, Yasuhiro Ohta, Isafumi Maru, Yoji Tsukada, Shusuke Miyata, H. Inoue, Toru Iwanami and T. Ito. Their work appears in journals such as Phytopathology, Measurement Science and Technology, BMC Plant Biology, Journal of Bacteriology and Journal of the American Podiatric Medical Association.
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.