Andrew Everall

818 total citations · 1 hit paper
17 papers, 542 citations indexed

About

Andrew Everall is a scholar working on Astronomy and Astrophysics, Instrumentation and Cancer Research. According to data from OpenAlex, Andrew Everall has authored 17 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 11 papers in Instrumentation and 3 papers in Cancer Research. Recurrent topics in Andrew Everall's work include Stellar, planetary, and galactic studies (13 papers), Astronomy and Astrophysical Research (11 papers) and Gamma-ray bursts and supernovae (4 papers). Andrew Everall is often cited by papers focused on Stellar, planetary, and galactic studies (13 papers), Astronomy and Astrophysical Research (11 papers) and Gamma-ray bursts and supernovae (4 papers). Andrew Everall collaborates with scholars based in United Kingdom, United States and Germany. Andrew Everall's co-authors include Douglas Boubert, Vasily Belokurov, S. E. Koposov, Zephyr Penoyre, N. W. Evans, A. G. A. Brown, C. J. Clarke, R. G. Izzard, Christopher A. Tout and Giuliano Iorio and has published in prestigious journals such as Nature Genetics, Monthly Notices of the Royal Astronomical Society and The Astronomical Journal.

In The Last Decade

Andrew Everall

16 papers receiving 493 citations

Hit Papers

Unresolved stellar companions with Gaia DR2 astrometry 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Everall United Kingdom 12 513 292 38 22 15 17 542
L. G. Kiseleva Russia 6 596 1.2× 107 0.4× 17 0.4× 24 1.1× 13 0.9× 14 635
M. Biermann Germany 5 607 1.2× 334 1.1× 42 1.1× 11 0.5× 4 0.3× 12 655
Jason L. Curtis United States 14 618 1.2× 250 0.9× 45 1.2× 7 0.3× 12 0.8× 35 634
María E. Camisassa Spain 16 664 1.3× 255 0.9× 13 0.3× 4 0.2× 22 1.5× 37 699
Yangping Luo China 11 262 0.5× 145 0.5× 22 0.6× 3 0.1× 54 3.6× 42 337
D. M. Skowron Poland 11 460 0.9× 154 0.5× 32 0.8× 9 0.4× 4 0.3× 28 506
S. Boro Saikia France 15 658 1.3× 104 0.4× 19 0.5× 5 0.2× 69 4.6× 29 671
Roger E. Cohen United States 18 819 1.6× 427 1.5× 23 0.6× 4 0.2× 19 1.3× 58 896
Keith MacGregor United States 12 542 1.1× 122 0.4× 11 0.3× 11 0.5× 59 3.9× 32 555
C. Damiani France 12 381 0.7× 94 0.3× 11 0.3× 10 0.5× 27 1.8× 27 385

Countries citing papers authored by Andrew Everall

Since Specialization
Citations

This map shows the geographic impact of Andrew Everall'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 Andrew Everall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Everall more than expected).

Fields of papers citing papers by Andrew Everall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Everall. 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 Andrew Everall. The network helps show where Andrew Everall may publish in the future.

Co-authorship network of co-authors of Andrew Everall

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Everall. A scholar is included among the top collaborators of Andrew Everall 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 Andrew Everall. Andrew Everall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Everall, Andrew, et al.. (2026). Comprehensive repertoire of the chromosomal alteration and mutational signatures across 16 cancer types. Nature Genetics. 58(3). 570–581.
2.
Sud, Amit, Andrew Everall, Daniel Chubb, et al.. (2024). Genetic landscape of interval and screen detected breast cancer. npj Precision Oncology. 8(1). 122–122. 1 indexed citations
3.
Kinnersley, Ben, Amit Sud, Andrew Everall, et al.. (2024). Analysis of 10,478 cancer genomes identifies candidate driver genes and opportunities for precision oncology. Nature Genetics. 56(9). 1868–1877. 19 indexed citations
4.
Everall, Andrew, Vasily Belokurov, N. W. Evans, Douglas Boubert, & Robert J. J. Grand. (2022). The photo-astrometric vertical tracer density of the Milky Way – II. Results from Gaia. Monthly Notices of the Royal Astronomical Society. 511(3). 3863–3880. 11 indexed citations
5.
Everall, Andrew, et al.. (2021). Completeness of the Gaia-verse – IV. The astrometry spread function of Gaia DR2. Monthly Notices of the Royal Astronomical Society. 502(2). 1908–1924. 25 indexed citations
6.
Boubert, Douglas & Andrew Everall. (2021). A selection function toolbox for subsets of astronomical catalogues. Monthly Notices of the Royal Astronomical Society. 510(3). 4626–4638. 4 indexed citations
7.
Rix, Hans-Walter, David W. Hogg, Douglas Boubert, et al.. (2021). Selection Functions in Astronomical Data Modeling, with the Space Density of White Dwarfs as a Worked Example. arXiv (Cornell University). 162(4). 142. 1 indexed citations
8.
Rix, Hans‐Walter, David W. Hogg, Douglas Boubert, et al.. (2021). Selection Functions in Astronomical Data Modeling, with the Space Density of White Dwarfs as a Worked Example. The Astronomical Journal. 162(4). 142–142. 28 indexed citations
9.
Everall, Andrew & Douglas Boubert. (2021). Completeness of the Gaia verse – V. Astrometry and radial velocity sample selection functions in Gaia EDR3. Monthly Notices of the Royal Astronomical Society. 509(4). 6205–6224. 18 indexed citations
10.
Penoyre, Zephyr, Vasily Belokurov, N. W. Evans, Andrew Everall, & S. E. Koposov. (2020). Binary deviations from single object astrometry. Monthly Notices of the Royal Astronomical Society. 495(1). 321–337. 60 indexed citations
11.
Belokurov, Vasily, Zephyr Penoyre, Semyeong Oh, et al.. (2020). Unresolved stellar companions with Gaia DR2 astrometry. Monthly Notices of the Royal Astronomical Society. 496(2). 1922–1940. 241 indexed citations breakdown →
12.
Boubert, Douglas & Andrew Everall. (2020). Completeness of the Gaia verse II: what are the odds that a star is missing from Gaia DR2?. Monthly Notices of the Royal Astronomical Society. 497(4). 4246–4261. 52 indexed citations
13.
McGill, Peter, Andrew Everall, Douglas Boubert, & Leigh C. Smith. (2020). Predictions of Gaia’s prize microlensing events are flawed. Monthly Notices of the Royal Astronomical Society Letters. 498(1). L6–L10. 13 indexed citations
14.
Boubert, Douglas, et al.. (2020). Completeness of the Gaia-verse III: using hidden states to infer gaps, detection efficiencies, and the scanning law from the DR2 light curves. Monthly Notices of the Royal Astronomical Society. 501(2). 2954–2968. 15 indexed citations
15.
Boubert, Douglas, Andrew Everall, & B. Holl. (2020). Completeness of the Gaia-verse – I. When and where were Gaia’s eyes on the sky during DR2?. Monthly Notices of the Royal Astronomical Society. 497(2). 1826–1841. 26 indexed citations
16.
Everall, Andrew & Payel Das. (2020). seestar: Selection functions for spectroscopic surveys of the Milky Way. Monthly Notices of the Royal Astronomical Society. 493(2). 2042–2058. 9 indexed citations
17.
Everall, Andrew, N. W. Evans, Vasily Belokurov, & Ralph Schönrich. (2019). The tilt of the local velocity ellipsoid as seen by Gaia. Monthly Notices of the Royal Astronomical Society. 489(1). 910–918. 19 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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