David Burks
Impact in
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Light effects on plants
- Plant and Biological Electrophysiology Studies
- Plant Micronutrient Interactions and Effects
- Plant responses to water stress
Papers in
-
- Photosynthetic Processes and Mechanisms 5
- Genomics and Phylogenetic Studies 4
- Plant Gene Expression Analysis 2
-
- Plant responses to water stress 3
- Plant Molecular Biology Research 2
- Co-authors
- Rajeev K. Azad (17 shared papers)Ron Mittler (5 shared papers)Soham Sengupta (4 shared papers)Sara I. Zandalinas (3 shared papers)Yosef Fichman (1 shared paper)Kent D. Chapman (2 shared papers)Luhua Song (1 shared paper)Xiaohong Yu (1 shared paper)
- Journals
- The Plant Journal (3 papers)Plant Direct (3 papers)JAMA Oncology (1 paper)PLANT PHYSIOLOGY (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
David Burks
19 papers receiving 304 citations
Peers
Comparison fields: 5 of 58
- Plant Science 192
- Aging 9
- Molecular Biology 179
- Biochemistry 18
- Endocrinology 9
Countries citing papers authored by David Burks
This map shows the geographic impact of David Burks'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 Burks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Burks more than expected).
Fields of papers citing papers by David Burks
This network shows the impact of papers produced by David Burks. 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 Burks. The network helps show where David Burks may publish in the future.
Co-authors
The 25 scholars most cited alongside David Burks, 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 | 2018 | 84 | |
| 2 | 2020 | 51 | |
| 3 | 2019 | 40 | |
| 4 | 2019 | 23 | |
| 5 | 2023 | 14 | |
| 6 | 2017 | 12 | |
| 7 | 2016 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2016 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2020 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 |
About David Burks
David Burks is a scholar working on Molecular Biology, Plant Science, Biochemistry, Ecology and Hematology, having authored 19 papers that have together received 304 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (5 papers), Genomics and Phylogenetic Studies (4 papers), Lipid metabolism and biosynthesis (3 papers), Plant responses to water stress (3 papers), Plant Molecular Biology Research (2 papers), Aquaculture disease management and microbiota (2 papers), Plant Gene Expression Analysis (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Plant Science (192 citations), Aging (9 citations), Molecular Biology (179 citations), Biochemistry (18 citations) and Endocrinology (9 citations). David Burks has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Rajeev K. Azad, Ron Mittler, Soham Sengupta, Sara I. Zandalinas, Yosef Fichman, Kent D. Chapman, Luhua Song, Xiaohong Yu, Xiaolan Rao and David G. Mendoza‐Cózatl. Their work appears in journals such as The Plant Journal, Plant Direct, JAMA Oncology, PLANT PHYSIOLOGY and G3 Genes Genomes Genetics.
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.