David Doll
Impact in
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
-
- Horticultural and Viticultural Research 7
- Plant Physiology and Cultivation Studies 6
- Plant Disease Management Techniques 6
- Cell Biology 13
- Plant Pathogens and Fungal Diseases 13
- Co-authors
- YangQuan Chen (8 shared papers)Tiebiao Zhao (8 shared papers)Brandon Stark (4 shared papers)Mohamed T. Nouri (7 shared papers)Florent P. Trouillas (6 shared papers)Daniel P. Lawrence (3 shared papers)Brent A. Holtz (10 shared papers)Leslie A. Holland (5 shared papers)
- Journals
- Plant Disease (6 papers)Phytopathology (3 papers)Insects (1 paper)Journal of Environmental Management (1 paper)Journal of Intelligent & Robotic Systems (1 paper)
- Partner nations
- United StatesVietnamThailand
In The Last Decade
David Doll
41 papers receiving 606 citations
Peers
Comparison fields: 5 of 70
- Cell Biology 151
- Environmental Engineering 126
- Plant Science 322
- Soil Science 75
- Ecology 171
Countries citing papers authored by David Doll
This map shows the geographic impact of David Doll'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 David Doll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Doll more than expected).
Fields of papers citing papers by David Doll
This network shows the impact of papers produced by David Doll. 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 David Doll. The network helps show where David Doll may publish in the future.
Co-authors
The 25 scholars most cited alongside David Doll, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 83 | |
| 2 | 2015 | 44 | |
| 3 | 2020 | 43 | |
| 4 | 2017 | 43 | |
| 5 | 2019 | 37 | |
| 6 | 2019 | 36 | |
| 7 | 2020 | 34 | |
| 8 | 2016 | 34 | |
| 9 | 2017 | 28 | |
| 10 | 2017 | 22 | |
| 11 | 2019 | 20 | |
| 12 | 2016 | 20 | |
| 13 | 2015 | 19 | |
| 14 | 2013 | 16 | |
| 15 | 2005 | 14 | |
| 16 | 2015 | 12 | |
| 17 | 2019 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2015 | 9 |
About David Doll
David Doll is a scholar working on Plant Science, Cell Biology, Ecology, Global and Planetary Change and Environmental Engineering, having authored 42 papers that have together received 635 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (13 papers), Plant Water Relations and Carbon Dynamics (9 papers), Nuts composition and effects (8 papers), Remote Sensing and LiDAR Applications (7 papers), Horticultural and Viticultural Research (7 papers), Plant Physiology and Cultivation Studies (6 papers), Plant Disease Management Techniques (6 papers) and Remote Sensing in Agriculture (6 papers). The work is most often cited by research in Cell Biology (151 citations), Environmental Engineering (126 citations), Plant Science (322 citations), Soil Science (75 citations) and Ecology (171 citations). David Doll has collaborated with scholars based in United States, Vietnam and Thailand. Frequent co-authors include YangQuan Chen, Tiebiao Zhao, Brandon Stark, Mohamed T. Nouri, Florent P. Trouillas, Daniel P. Lawrence, Brent A. Holtz, Leslie A. Holland, Dong Wang and Franz Niederholzer. Their work appears in journals such as Plant Disease, Phytopathology, Insects, Journal of Environmental Management and Journal of Intelligent & Robotic Systems.
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.