Edward J. Osborne
- Insect Science top 2%
- Aging top 10%
- Plant Science top 5%
- Plant Molecular Biology Research 3
- Immunology top 10%
- Molecular Biology top 10%
- Machine Learning in Bioinformatics 1
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- Genetic diversity and population structure 3
- Genetic and phenotypic traits in livestock 2
- Genetic Mapping and Diversity in Plants and Animals 2
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- Drug Transport and Resistance Mechanisms 2
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- Physiological and biochemical adaptations 2
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- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Richard M. ClarkThomas Van LeeuwenMiodrag GrbićWannes DermauwPei ZhangManu DubinMagnus NordborgOliver Stegle
- Cited by
- Insect ScienceAgingPlant Science
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Genetics (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Edward J. Osborne
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Insect Science 312
- Aging 27
- Plant Science 507
- Immunology 252
- Molecular Biology 761
Countries citing papers authored by Edward J. Osborne
This map shows the geographic impact of Edward J. Osborne'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 Edward J. Osborne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Osborne more than expected).
Fields of papers citing papers by Edward J. Osborne
This network shows the impact of papers produced by Edward J. Osborne. 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 Edward J. Osborne. The network helps show where Edward J. Osborne may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edward J. Osborne, 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 | 2023 | 1 | |
| 2 | 2020 | 30 | |
| 3 | 2018 | 55 | |
| 4 | 2017 | 287 | |
| 5 | 2017 | 10 | |
| 6 | 2016 | 86 | |
| 7 | 2015 | 64 | |
| 8 | 2015 | 1 | |
| 9 | DNA methylation in Arabidopsis has a genetic basis and shows evidence of local adaptationbreakdown → | 2015 | 367 |
| 10 | 2014 | 80 | |
| 11 | 2013 | 114 | |
| 12 | 2012 | 78 | |
| 13 | 2012 | 214 | |
| 14 | 2011 | 47 | |
| 15 | 2010 | 57 | |
| 16 | 1993 | 30 | |
| 17 | 1987 | 20 |
About Edward J. Osborne
Edward J. Osborne is a scholar working on Immunology, Genetics and Biophysics, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (3 papers), Genetic diversity and population structure (3 papers), Genetic and phenotypic traits in livestock (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Physiological and biochemical adaptations (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Insect Science (312 citations), Aging (27 citations) and Plant Science (507 citations). Edward J. Osborne has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Richard M. Clark, Thomas Van Leeuwen, Miodrag Grbić, Wannes Dermauw, Pei Zhang, Manu Dubin, Magnus Nordborg, Oliver Stegle, Dazhe Meng and Peter Demaeght. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and The Journal of Immunology.
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.