Matthew Berkeley

2.3k total citations · 2 hit papers
7 papers, 960 citations indexed

About

Matthew Berkeley is a scholar working on Molecular Biology, Astronomy and Astrophysics and Ecology. According to data from OpenAlex, Matthew Berkeley has authored 7 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Astronomy and Astrophysics and 2 papers in Ecology. Recurrent topics in Matthew Berkeley's work include Genomics and Phylogenetic Studies (4 papers), Superconducting and THz Device Technology (2 papers) and Microwave Engineering and Waveguides (2 papers). Matthew Berkeley is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Superconducting and THz Device Technology (2 papers) and Microwave Engineering and Waveguides (2 papers). Matthew Berkeley collaborates with scholars based in Switzerland, United States and Chile. Matthew Berkeley's co-authors include Evgeny M. Zdobnov, Mosè Manni, Mathieu Seppey, Dmitry Kuznetsov, Fredrik Tegenfeldt, Evgenia V. Kriventseva, V. Kalogera, Antara Basu‐Zych, Tassos Fragos and P. Tzanavaris and has published in prestigious journals such as Nucleic Acids Research, The Astrophysical Journal and Review of Scientific Instruments.

In The Last Decade

Matthew Berkeley

7 papers receiving 952 citations

Hit Papers

BUSCO: Assessing Genomic Data Quality and Beyond 2021 2026 2022 2024 2021 2022 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Berkeley Switzerland 5 523 340 180 137 101 7 960
Oliver Keller United States 11 586 1.1× 277 0.8× 167 0.9× 190 1.4× 150 1.5× 40 995
Lauren Coombe Canada 13 702 1.3× 336 1.0× 220 1.2× 217 1.6× 103 1.0× 36 1.1k
Ralph Steinkamp Germany 5 683 1.3× 432 1.3× 160 0.9× 95 0.7× 103 1.0× 6 1.1k
Bernardo Clavijo United Kingdom 13 789 1.5× 654 1.9× 252 1.4× 144 1.1× 96 1.0× 19 1.3k
T. Rhyker Ranallo-Benavidez United States 3 571 1.1× 450 1.3× 269 1.5× 167 1.2× 184 1.8× 4 1.0k
Renata O. Dias Brazil 15 669 1.3× 384 1.1× 209 1.2× 121 0.9× 127 1.3× 38 1.3k
Yinlong Xie China 4 653 1.2× 259 0.8× 181 1.0× 155 1.1× 214 2.1× 6 972
Michael J. Roach Australia 11 610 1.2× 437 1.3× 207 1.1× 186 1.4× 108 1.1× 26 1.0k
Martijn Schenk Netherlands 16 387 0.7× 430 1.3× 308 1.7× 107 0.8× 92 0.9× 55 1.2k
Jong-Sung Lim South Korea 12 392 0.7× 431 1.3× 239 1.3× 64 0.5× 129 1.3× 19 960

Countries citing papers authored by Matthew Berkeley

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Berkeley

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Berkeley. A scholar is included among the top collaborators of Matthew Berkeley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Berkeley. Matthew Berkeley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Tegenfeldt, Fredrik, Dmitry Kuznetsov, Mosè Manni, et al.. (2024). OrthoDB and BUSCO update: annotation of orthologs with wider sampling of genomes. Nucleic Acids Research. 53(D1). D516–D522. 23 indexed citations
2.
Ali, Aamir, Thomas Essinger-Hileman, Tobias A. Marriage, et al.. (2022). SiAl composite feedhorn arrays for astrophysical applications: Cryogenic material properties. Review of Scientific Instruments. 93(2). 24503–24503. 2 indexed citations
3.
Kuznetsov, Dmitry, Fredrik Tegenfeldt, Mosè Manni, et al.. (2022). OrthoDB v11: annotation of orthologs in the widest sampling of organismal diversity. Nucleic Acids Research. 51(D1). D445–D451. 223 indexed citations breakdown →
4.
Manni, Mosè, Matthew Berkeley, Mathieu Seppey, & Evgeny M. Zdobnov. (2021). BUSCO: Assessing Genomic Data Quality and Beyond. Current Protocols. 1(12). e323–e323. 577 indexed citations breakdown →
5.
Zdobnov, Evgeny M., Dmitry Kuznetsov, Fredrik Tegenfeldt, et al.. (2020). OrthoDB in 2020: evolutionary and functional annotations of orthologs. Nucleic Acids Research. 49(D1). D389–D393. 107 indexed citations
6.
Ali, Aamir, Thomas Essinger-Hileman, Tobias A. Marriage, et al.. (2018). SiAl alloy feedhorn arrays: material properties, feedhorn design, and astrophysical applications. 9153. 146–146. 3 indexed citations
7.
Lehmer, Bret, Matthew Berkeley, A. Zezas, et al.. (2014). THE X-RAY LUMINOSITY FUNCTIONS OF FIELD LOW-MASS X-RAY BINARIES IN EARLY-TYPE GALAXIES: EVIDENCE FOR A STELLAR AGE DEPENDENCE. The Astrophysical Journal. 789(1). 52–52. 25 indexed citations

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.

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