Arne Ø. Mooers

18.6k total citations · 7 hit papers
135 papers, 11.6k citations indexed

About

Arne Ø. Mooers is a scholar working on Genetics, Paleontology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Arne Ø. Mooers has authored 135 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Genetics, 49 papers in Paleontology and 46 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Arne Ø. Mooers's work include Evolution and Paleontology Studies (45 papers), Genetic diversity and population structure (40 papers) and Plant and animal studies (37 papers). Arne Ø. Mooers is often cited by papers focused on Evolution and Paleontology Studies (45 papers), Genetic diversity and population structure (40 papers) and Plant and animal studies (37 papers). Arne Ø. Mooers collaborates with scholars based in Canada, United Kingdom and United States. Arne Ø. Mooers's co-authors include Gavin H. Thomas, Jeffrey B. Joy, Klaas Hartmann, Walter Jetz, Dolph Schluter, David W. Redding, Stephen B. Heard, Trevor D. Price, Donald Ludwig and Tyler S. Kuhn and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Arne Ø. Mooers

133 papers receiving 11.3k citations

Hit Papers

The global diversity of birds in space an... 1997 2026 2006 2016 2012 1997 2010 2016 2014 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arne Ø. Mooers Canada 46 4.0k 4.0k 3.9k 3.3k 2.9k 135 11.6k
Jon Fjeldså Denmark 57 4.3k 1.1× 4.7k 1.2× 4.7k 1.2× 2.8k 0.8× 4.0k 1.4× 244 12.0k
Luke J. Harmon United States 49 5.1k 1.3× 3.1k 0.8× 4.0k 1.0× 4.7k 1.5× 4.7k 1.6× 114 13.0k
Richard E. Glor United States 31 4.1k 1.0× 3.5k 0.9× 2.9k 0.7× 1.9k 0.6× 3.8k 1.3× 64 10.6k
Liam J. Revell United States 36 5.9k 1.5× 3.3k 0.8× 3.3k 0.8× 3.8k 1.2× 3.2k 1.1× 74 12.9k
Daniel L. Rabosky United States 50 4.8k 1.2× 2.9k 0.7× 3.5k 0.9× 5.2k 1.6× 4.6k 1.6× 119 12.1k
Olaf R. P. Bininda‐Emonds Germany 49 3.4k 0.8× 4.7k 1.2× 2.1k 0.5× 3.2k 1.0× 3.8k 1.3× 112 12.1k
T. Jonathan Davies Canada 56 5.3k 1.3× 4.3k 1.1× 5.8k 1.5× 1.9k 0.6× 2.1k 0.7× 159 13.0k
Kevin de Queiroz United States 44 4.4k 1.1× 2.3k 0.6× 2.4k 0.6× 3.1k 0.9× 3.8k 1.3× 126 11.5k
Nicholas J. Matzke United States 32 3.0k 0.7× 2.2k 0.6× 2.1k 0.5× 1.9k 0.6× 1.9k 0.6× 69 8.5k
Michael E. Alfaro United States 55 2.8k 0.7× 2.8k 0.7× 4.0k 1.0× 3.5k 1.1× 3.0k 1.0× 137 11.0k

Countries citing papers authored by Arne Ø. Mooers

Since Specialization
Citations

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

Fields of papers citing papers by Arne Ø. Mooers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arne Ø. Mooers. 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 Arne Ø. Mooers. The network helps show where Arne Ø. Mooers may publish in the future.

Co-authorship network of co-authors of Arne Ø. Mooers

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

All Works

20 of 20 papers shown
1.
Pyron, R. Alexander, et al.. (2024). Nature's value and biodiversity ethics in a changing world: Insights from a special issue and questions for the future. Biological Conservation. 298. 110757–110757.
2.
Harris, Simon C., et al.. (2022). Predicting Long Pendant Edges in Model Phylogenies, with Applications to Biodiversity and Tree Inference. Systematic Biology. 72(3). 575–589. 3 indexed citations
3.
Reader, Simon M., et al.. (2022). Predictors of taxonomic splitting and its role in primate conservation. Animal Conservation. 26(3). 355–364. 3 indexed citations
4.
Martin, Thomas E., et al.. (2022). ‘Lost’ taxa and their conservation implications. Animal Conservation. 26(1). 14–24. 25 indexed citations
5.
Mooers, Arne Ø., et al.. (2020). Formal Links between Feature Diversity and Phylogenetic Diversity. Systematic Biology. 70(3). 480–490. 7 indexed citations
6.
Mooers, Arne Ø., et al.. (2019). The effect of phylogenetic uncertainty and imputation on EDGE Scores. Animal Conservation. 22(6). 527–536. 10 indexed citations
7.
Mooers, Arne Ø., et al.. (2019). Ecological constraints associated with genome size across salamander lineages. Proceedings of the Royal Society B Biological Sciences. 286(1911). 20191780–20191780. 21 indexed citations
8.
Wilson, Fiona, et al.. (2019). The role of frequency of use in lexical change. Diachronica. 36(4). 584–612. 2 indexed citations
9.
Cantalapiedra, Juan L., Tracy Aze, Marc W. Cadotte, et al.. (2019). Conserving evolutionary history does not result in greater diversity over geological time scales. Proceedings of the Royal Society B Biological Sciences. 286(1904). 20182896–20182896. 15 indexed citations
10.
Mull, Christopher G., Tyler S. Kuhn, Neil C. Aschliman, et al.. (2018). Global priorities for conserving the evolutionary history of sharks, rays and chimaeras. Nature Ecology & Evolution. 2(2). 288–298. 224 indexed citations breakdown →
11.
Chaudhary, Abhishek, et al.. (2017). Projecting global land use‐driven evolutionary history loss. Diversity and Distributions. 24(2). 158–167. 30 indexed citations
12.
Jetz, Walter, Gavin H. Thomas, Jeffrey B. Joy, Klaas Hartmann, & Arne Ø. Mooers. (2012). The global diversity of birds in space and time. Nature. 491(7424). 444–448. 2664 indexed citations breakdown →
13.
Harmon, Luke J., Jonathan B. Losos, T. Jonathan Davies, et al.. (2010). EARLY BURSTS OF BODY SIZE AND SHAPE EVOLUTION ARE RARE IN COMPARATIVE DATA. Evolution. 64(8). no–no. 667 indexed citations breakdown →
14.
Kuhn, Tyler S. & Arne Ø. Mooers. (2010). Missing saiga on the taiga. Molecular Ecology. 19(22). 4834–4836. 1 indexed citations
15.
Steel, Mike & Arne Ø. Mooers. (2010). The expected length of pendant and interior edges of a Yule tree. Applied Mathematics Letters. 23(11). 1315–1319. 31 indexed citations
16.
Lee, Victor, Jing Huang, Karolina Malecek, et al.. (2008). The Evolution of Multiple Isotypic IgM Heavy Chain Genes in the Shark. The Journal of Immunology. 180(11). 7461–7470. 26 indexed citations
17.
Savolainen, Vincent, Stephen B. Heard, Martyn P. Powell, T. Jonathan Davies, & Arne Ø. Mooers. (2002). Is Cladogenesis Heritable?. Systematic Biology. 51(6). 835–843. 29 indexed citations
18.
Purvis, Andy, Andy Purvis, Elizabeth A. Sinclair, et al.. (2001). Phylogeny and Conservation. Cambridge University Press eBooks. 43 indexed citations
19.
Mooers, Arne Ø., Steven M. Vamosi, & Dolph Schluter. (1999). Using phylogenies to test macroevolutionary models of trait evolution: sexual selection and speciation in Cranes (Gruinae). The American Naturalist. 154. 249–259. 2 indexed citations
20.
Schluter, Dolph, et al.. (1997). Likelihood of Ancestor States in Adaptive Radiation. Evolution. 51(6). 1699–1699. 292 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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