Matthew Berkeley
Impact in
- Horticulture top 10%
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant-Microbe Interactions and Immunity
- Plant Disease Resistance and Genetics
Papers in
-
- Genomics and Phylogenetic Studies 4
- Bioinformatics and Genomic Networks 1
-
- Superconducting and THz Device Technology 2
- Radio Astronomy Observations and Technology 1
- Co-authors
- Mosè Manni (4 shared papers)Evgeny M. Zdobnov (4 shared papers)Mathieu Seppey (2 shared papers)Evgenia V. Kriventseva (3 shared papers)Dmitry Kuznetsov (3 shared papers)Fredrik Tegenfeldt (3 shared papers)Tassos Fragos (1 shared paper)G. R. Sivakoff (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Review of Scientific Instruments (1 paper)The Astrophysical Journal (1 paper)Current Protocols (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Matthew Berkeley
7 papers receiving 1.1k citations
Matthew Berkeley's Hit Papers
Peers
Comparison fields: 5 of 95
- Horticulture 16
- Plant Science 340
- Molecular Biology 540
- Insect Science 92
- Genetics 180
Countries citing papers authored by Matthew Berkeley
This map shows the geographic impact of Matthew Berkeley'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 Matthew Berkeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Berkeley more than expected).
Fields of papers citing papers by Matthew Berkeley
This network shows the impact of papers produced by Matthew Berkeley. 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 Matthew Berkeley. The network helps show where Matthew Berkeley may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Berkeley, 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 | BUSCO: Assessing Genomic Data Quality and Beyond Hit paper breakdown → | 2021 | 634 |
| 2 | OrthoDB v11: annotation of orthologs in the widest sampling of organismal diversity Hit paper breakdown → | 2022 | 266 |
| 3 | 2020 | 113 | |
| 4 | 2024 | 54 | |
| 5 | 2014 | 25 | |
| 6 | 2018 | 3 | |
| 7 | 2022 | 2 |
About Matthew Berkeley
Matthew Berkeley is a scholar working on Molecular Biology, Astronomy and Astrophysics, Ecology, Electrical and Electronic Engineering and Clinical Biochemistry, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Superconducting and THz Device Technology (2 papers), Microwave Engineering and Waveguides (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Radio Astronomy Observations and Technology (1 paper), Chromosomal and Genetic Variations (1 paper), Bioinformatics and Genomic Networks (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Horticulture (16 citations), Plant Science (340 citations), Molecular Biology (540 citations), Insect Science (92 citations) and Genetics (180 citations). Matthew Berkeley has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Mosè Manni, Evgeny M. Zdobnov, Mathieu Seppey, Evgenia V. Kriventseva, Dmitry Kuznetsov, Fredrik Tegenfeldt, Tassos Fragos, G. R. Sivakoff, D. M. Alexander and Bret Lehmer. Their work appears in journals such as Nucleic Acids Research, Review of Scientific Instruments, The Astrophysical Journal and Current Protocols.
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.