Ivan Gális
Impact in
- Insect Science top 0.5%
- Insect-Plant Interactions and Control
- Insect and Pesticide Research
- Plant Science top 0.5%
- Plant Parasitism and Resistance
- Plant-Microbe Interactions and Immunity
- Plant Molecular Biology Research
Papers in
-
- Plant Parasitism and Resistance 32
- Plant Virus Research Studies 14
- Plant-Microbe Interactions and Immunity 12
- Plant Molecular Biology Research 12
-
- Insect-Plant Interactions and Control 43
- Insect and Pesticide Research 19
- Co-authors
- Ian T. Baldwin (25 shared papers)Tomonori Shinya (29 shared papers)Yuko Hojo (21 shared papers)Harleen Kaur (3 shared papers)Nawaporn Onkokesung (6 shared papers)Youngjoo Oh (5 shared papers)Emmanuel Gaquerel (4 shared papers)Ken Matsuoka (8 shared papers)
In The Last Decade
Ivan Gális
90 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 75
- Insect Science 1.3k
- Plant Science 2.6k
- Ecology, Evolution, Behavior and Systematics 495
- Molecular Biology 1.4k
- Biotechnology 135
Countries citing papers authored by Ivan Gális
This map shows the geographic impact of Ivan Gális'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 Ivan Gális with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Gális more than expected).
Fields of papers citing papers by Ivan Gális
This network shows the impact of papers produced by Ivan Gális. 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 Ivan Gális. The network helps show where Ivan Gális may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Gális, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 237 | |
| 2 | 2010 | 215 | |
| 3 | 2014 | 178 | |
| 4 | 2011 | 144 | |
| 5 | 2006 | 129 | |
| 6 | 2008 | 113 | |
| 7 | 2017 | 104 | |
| 8 | 2015 | 100 | |
| 9 | 2012 | 88 | |
| 10 | 2010 | 77 | |
| 11 | 2012 | 72 | |
| 12 | 2012 | 70 | |
| 13 | 2020 | 69 | |
| 14 | 2013 | 69 | |
| 15 | 2013 | 62 | |
| 16 | 2016 | 61 | |
| 17 | 2019 | 60 | |
| 18 | 2019 | 59 | |
| 19 | 2012 | 54 | |
| 20 | 2013 | 54 |
About Ivan Gális
Ivan Gális is a scholar working on Plant Science, Insect Science, Molecular Biology, Biotechnology and Ecology, Evolution, Behavior and Systematics, having authored 92 papers that have together received 3.4k indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (43 papers), Plant Parasitism and Resistance (32 papers), Insect and Pesticide Research (19 papers), Plant Virus Research Studies (14 papers), Plant tissue culture and regeneration (14 papers), Plant Gene Expression Analysis (12 papers), Plant-Microbe Interactions and Immunity (12 papers) and Plant Molecular Biology Research (12 papers). The work is most often cited by research in Insect Science (1.3k citations), Plant Science (2.6k citations), Ecology, Evolution, Behavior and Systematics (495 citations), Molecular Biology (1.4k citations) and Biotechnology (135 citations). Ivan Gális has collaborated with scholars based in Japan, Germany and Indonesia. Frequent co-authors include Ian T. Baldwin, Tomonori Shinya, Yuko Hojo, Harleen Kaur, Nawaporn Onkokesung, Youngjoo Oh, Emmanuel Gaquerel, Ken Matsuoka, Nicolas Heinzel and Melkamu G. Woldemariam. Their work appears in journals such as PLANT PHYSIOLOGY, Plant Cell & Environment, Plant Signaling & Behavior, PLoS ONE and Journal of Experimental Botany.
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.