Indole is an essential herbivore-induced volatile priming signal in maize
- Journal
- Nature Communications
In The Last Decade
doi.org/10.1038/ncomms7273 →Countries where authors are citing Indole is an essential herbivore-induced volatile priming signal in maize
This map shows the geographic impact of Indole is an essential herbivore-induced volatile priming signal in maize. 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 Indole is an essential herbivore-induced volatile priming signal in maize with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indole is an essential herbivore-induced volatile priming signal in maize more than expected).
Fields of papers citing Indole is an essential herbivore-induced volatile priming signal in maize
This network shows the impact of Indole is an essential herbivore-induced volatile priming signal in maize. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Indole is an essential herbivore-induced volatile priming signal in maize.
About Indole is an essential herbivore-induced volatile priming signal in maize
This paper, published in 2015, received 313 indexed citations . Written by Matthias Erb, Nathalie Veyrat, Christelle A. M. Robert, Hao Xu, Monika Frey, Jurriaan Ton and Ted C. J. Turlings covering the research area of Plant Science, Insect Science and Ecology, Evolution, Behavior and Systematics. It is primarily cited by scholars working on Plant Science (227 citations), Insect Science (194 citations) and Ecology, Evolution, Behavior and Systematics (78 citations). Published in Nature 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.
This paper is also available at doi.org/10.1038/ncomms7273.