Daniel Maag
Impact in
- Insect Science top 2%
- Insect-Plant Interactions and Control
- Insect and Pesticide Research
- Plant Science top 5%
- Plant Parasitism and Resistance
- Allelopathy and phytotoxic interactions
- Insect Pest Control Strategies
- Plant-Microbe Interactions and Immunity
Papers in
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- Plant Parasitism and Resistance 4
- Insect Pest Control Strategies 4
- Allelopathy and phytotoxic interactions 3
- Plant nutrient uptake and metabolism 1
-
- Insect-Plant Interactions and Control 8
- Insect and Pesticide Research 4
- Co-authors
- Matthias Erb (7 shared papers)Gaétan Glauser (6 shared papers)Ted C. J. Turlings (5 shared papers)Jean‐Luc Wolfender (4 shared papers)Tobias G. Köllner (2 shared papers)Angela Köhler (4 shared papers)Michael Rostás (2 shared papers)Makihiko Ikegami (1 shared paper)
- Journals
- The Plant Cell (2 papers)Plant Cell & Environment (2 papers)BMC Evolutionary Biology (1 paper)The Plant Journal (1 paper)Ecology and Evolution (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Daniel Maag
12 papers receiving 539 citations
Peers
Comparison fields: 5 of 59
- Insect Science 257
- Plant Science 375
- Ecology, Evolution, Behavior and Systematics 105
- Molecular Biology 176
- Biotechnology 13
Countries citing papers authored by Daniel Maag
This map shows the geographic impact of Daniel Maag'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 Daniel Maag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Maag more than expected).
Fields of papers citing papers by Daniel Maag
This network shows the impact of papers produced by Daniel Maag. 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 Daniel Maag. The network helps show where Daniel Maag may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Maag, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 93 | |
| 2 | 2014 | 88 | |
| 3 | 2016 | 66 | |
| 4 | 2013 | 66 | |
| 5 | 2014 | 65 | |
| 6 | 2014 | 54 | |
| 7 | 2015 | 41 | |
| 8 | 2015 | 32 | |
| 9 | 2013 | 24 | |
| 10 | 2023 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2025 | 1 |
About Daniel Maag
Daniel Maag is a scholar working on Plant Science, Insect Science, Molecular Biology, Ecology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 547 indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (8 papers), Plant Parasitism and Resistance (4 papers), Insect Pest Control Strategies (4 papers), Insect and Pesticide Research (4 papers), Allelopathy and phytotoxic interactions (3 papers), Photosynthetic Processes and Mechanisms (2 papers), Plant nutrient uptake and metabolism (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Insect Science (257 citations), Plant Science (375 citations), Ecology, Evolution, Behavior and Systematics (105 citations), Molecular Biology (176 citations) and Biotechnology (13 citations). Daniel Maag has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Matthias Erb, Gaétan Glauser, Ted C. J. Turlings, Jean‐Luc Wolfender, Tobias G. Köllner, Angela Köhler, Michael Rostás, Makihiko Ikegami, Moshe Inbar and Christelle A. M. Robert. Their work appears in journals such as The Plant Cell, Plant Cell & Environment, BMC Evolutionary Biology, The Plant Journal and Ecology and Evolution.
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.