John M. Burke
Impact in
- Genetics top 0.2%
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Plant Science top 0.2%
- Sunflower and Safflower Cultivation
Papers in
-
- Sunflower and Safflower Cultivation 50
- Genetic and Environmental Crop Studies 24
- Genetics 68
- Genetic diversity and population structure 54
- Genetic Mapping and Diversity in Plants and Animals 22
- Co-authors
- Loren H. RiesebergMark A. ChapmanPeter K. SorgerMichael L. ArnoldSteven J. KnappJohn G. AlbeckBharat M. ChowriraDouglas A. Lauffenburger
- Journals
- Biochemistry (14 papers)Evolution (12 papers)Journal of Biological Chemistry (10 papers)PLoS ONE (10 papers)Genetics (9 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
John M. Burke
225 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Genetics 3.7k
- Plant Science 4.8k
- Molecular Biology 7.4k
- Ecology, Evolution, Behavior and Systematics 1.6k
- Biophysics 315
Countries citing papers authored by John M. Burke
This map shows the geographic impact of John M. Burke'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 John M. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Burke more than expected).
Fields of papers citing papers by John M. Burke
This network shows the impact of papers produced by John M. Burke. 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 John M. Burke. The network helps show where John M. Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside John M. Burke, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 4 | |
| 6 | 2020 | 19 | |
| 7 | 2018 | 23 | |
| 8 | 2017 | 32 | |
| 9 | Widespread natural variation of DNA methylation within angiosperms Hit paper breakdown → | 2016 | 387 |
| 10 | 2015 | 28 | |
| 11 | 2012 | 11 | |
| 12 | 2011 | 2 | |
| 13 | 2008 | 108 | |
| 14 | 2007 | 11 | |
| 15 | 2007 | 66 | |
| 16 | 2006 | 143 | |
| 17 | 2004 | 3 | |
| 18 | 2000 | 78 | |
| 19 | 1999 | 42 | |
| 20 | 1982 | 10 |
About John M. Burke
John M. Burke is a scholar working on Plant Science, Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Biochemistry, having authored 228 papers that have together received 13.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (73 papers), Genetic diversity and population structure (54 papers), Sunflower and Safflower Cultivation (50 papers), RNA modifications and cancer (34 papers), Advanced biosensing and bioanalysis techniques (27 papers), DNA and Nucleic Acid Chemistry (24 papers), Genetic and Environmental Crop Studies (24 papers) and Genetic Mapping and Diversity in Plants and Animals (22 papers). The work is most often cited by research in Genetics (3.7k citations), Plant Science (4.8k citations), Molecular Biology (7.4k citations), Ecology, Evolution, Behavior and Systematics (1.6k citations) and Biophysics (315 citations). John M. Burke has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Loren H. Rieseberg, Mark A. Chapman, Peter K. Sorger, Michael L. Arnold, Steven J. Knapp, John G. Albeck, Bharat M. Chowrira, Douglas A. Lauffenburger, Thomas G. Spiro and Alfredo Berzal‐Herranz. Their work appears in journals such as Biochemistry, Evolution, Journal of Biological Chemistry, PLoS ONE and 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.