David Emms
Impact in
- Plant Science top 0.5%
- Chromosomal and Genetic Variations
- Plant-Microbe Interactions and Immunity
- Plant Molecular Biology Research
- Horticulture top 2%
Papers in
-
- Genomics and Phylogenetic Studies 8
- Photosynthetic Processes and Mechanisms 5
- Machine Learning in Bioinformatics 2
-
- Quantum Computing Algorithms and Architecture 7
- Quantum Information and Cryptography 3
- Co-authors
- Steven Kelly (17 shared papers)Richard C. Wilson (7 shared papers)Edwin R. Hancock (8 shared papers)Liam Dolan (3 shared papers)Alexander J. Hetherington (3 shared papers)Simone Severini (2 shared papers)Melissa A. Wilson (1 shared paper)John T. Lovell (1 shared paper)
- Journals
- Molecular Biology and Evolution (5 papers)Current Biology (3 papers)Genome biology (3 papers)Genome Biology and Evolution (2 papers)Pattern Recognition (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
David Emms
28 papers receiving 7.3k citations
David Emms's Hit Papers
Peers
Comparison fields: 5 of 146
- Plant Science 2.9k
- Horticulture 67
- Molecular Biology 4.1k
- Insect Science 641
- Endocrinology 248
Countries citing papers authored by David Emms
This map shows the geographic impact of David Emms'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 Emms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Emms more than expected).
Fields of papers citing papers by David Emms
This network shows the impact of papers produced by David Emms. 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 Emms. The network helps show where David Emms may publish in the future.
Co-authors
The 25 scholars most cited alongside David Emms, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | OrthoFinder: phylogenetic orthology inference for comparative genomics Hit paper breakdown → | 2019 | 4089 |
| 2 | OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy Hit paper breakdown → | 2015 | 2271 |
| 3 | 2017 | 185 | |
| 4 | GENESPACE tracks regions of interest and gene copy number variation across multiple genomes Hit paper breakdown → | 2022 | 143 |
| 5 | 2016 | 64 | |
| 6 | 2016 | 58 | |
| 7 | 2020 | 58 | |
| 8 | 2020 | 55 | |
| 9 | 2021 | 38 | |
| 10 | 2008 | 38 | |
| 11 | 2022 | 37 | |
| 12 | 2006 | 36 | |
| 13 | 2008 | 31 | |
| 14 | 2020 | 30 | |
| 15 | 2010 | 29 | |
| 16 | 2017 | 26 | |
| 17 | 2024 | 20 | |
| 18 | 2020 | 19 | |
| 19 | 2017 | 19 | |
| 20 | 2008 | 18 |
About David Emms
David Emms is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Computational Theory and Mathematics and Genetics, having authored 29 papers that have together received 7.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Quantum Computing Algorithms and Architecture (7 papers), Photosynthetic Processes and Mechanisms (5 papers), Quantum-Dot Cellular Automata (4 papers), Genetic diversity and population structure (3 papers), Quantum Information and Cryptography (3 papers), Machine Learning in Bioinformatics (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Plant Science (2.9k citations), Horticulture (67 citations), Molecular Biology (4.1k citations), Insect Science (641 citations) and Endocrinology (248 citations). David Emms has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Steven Kelly, Richard C. Wilson, Edwin R. Hancock, Liam Dolan, Alexander J. Hetherington, Simone Severini, Melissa A. Wilson, John T. Lovell, M. Eric Schranz and Jeremy Schmutz. Their work appears in journals such as Molecular Biology and Evolution, Current Biology, Genome biology, Genome Biology and Evolution and Pattern Recognition.
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.