Daniel M. Hooper

1.6k total citations
20 papers, 963 citations indexed

About

Daniel M. Hooper is a scholar working on Genetics, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniel M. Hooper has authored 20 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 10 papers in Ecology and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniel M. Hooper's work include Genetic diversity and population structure (14 papers), Avian ecology and behavior (5 papers) and Animal Behavior and Reproduction (5 papers). Daniel M. Hooper is often cited by papers focused on Genetic diversity and population structure (14 papers), Avian ecology and behavior (5 papers) and Animal Behavior and Reproduction (5 papers). Daniel M. Hooper collaborates with scholars based in United States, Australia and United Kingdom. Daniel M. Hooper's co-authors include Trevor D. Price, Simon C. Griffith, Dieter Thomas Tietze, Dhananjai Mohan, Jochen Martens, Per Alström, Urban Olsson, Ulf S. Johansson, Farah Ishtiaq and Bettina Harr and has published in prestigious journals such as Nature, Science and Current Biology.

In The Last Decade

Daniel M. Hooper

18 papers receiving 959 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Hooper United States 11 580 264 259 249 213 20 963
Isaac Overcast United States 14 502 0.9× 298 1.1× 322 1.2× 356 1.4× 168 0.8× 22 1.0k
Christen M. Bossu United States 12 748 1.3× 327 1.2× 295 1.1× 256 1.0× 278 1.3× 32 1.1k
Mozes P. K. Blom Germany 17 528 0.9× 368 1.4× 226 0.9× 227 0.9× 121 0.6× 45 932
Oliver Haddrath Canada 12 425 0.7× 286 1.1× 313 1.2× 197 0.8× 175 0.8× 22 904
Marianne Espeland Germany 20 913 1.6× 256 1.0× 220 0.8× 920 3.7× 190 0.9× 72 1.4k
Gustavo S. Cabanne Argentina 16 505 0.9× 141 0.5× 262 1.0× 345 1.4× 294 1.4× 40 879
Jonathan D. Kennedy Denmark 17 290 0.5× 163 0.6× 235 0.9× 277 1.1× 247 1.2× 27 749
Harald Letsch Germany 16 386 0.7× 226 0.9× 254 1.0× 548 2.2× 82 0.4× 26 917
Heather R. L. Lerner United States 8 482 0.8× 218 0.8× 360 1.4× 266 1.1× 145 0.7× 11 842
Robert Bleiweiss United States 21 321 0.6× 183 0.7× 337 1.3× 658 2.6× 169 0.8× 49 1.0k

Countries citing papers authored by Daniel M. Hooper

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Hooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Hooper. 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 Daniel M. Hooper. The network helps show where Daniel M. Hooper may publish in the future.

Co-authorship network of co-authors of Daniel M. Hooper

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Hooper. A scholar is included among the top collaborators of Daniel M. Hooper 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 Daniel M. Hooper. Daniel M. Hooper 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.
Rowe, Melissah, et al.. (2025). Independent evolution of atypical sperm morphology in a passerine bird. Journal of Evolutionary Biology. 38(10). 1373–1386.
3.
Hooper, Daniel M., et al.. (2025). Germline mutation rates and fine-scale recombination parameters in zebra finch. PLoS Genetics. 21(4). e1011661–e1011661. 5 indexed citations
4.
Hooper, Daniel M., et al.. (2024). Mitonuclear interactions impact aerobic metabolism in hybrids and may explain mitonuclear discordance in young, naturally hybridizing bird lineages. Molecular Ecology. 33(12). e17374–e17374. 7 indexed citations
5.
Hooper, Daniel M., Marek Kučka, Nathan S. Hart, et al.. (2024). Spread of yellow-bill-color alleles favored by selection in the long-tailed finch hybrid system. Current Biology. 34(23). 5444–5456.e8. 6 indexed citations
6.
Hooper, Daniel M., et al.. (2023). Experimentally testing mate preference in an avian system with unidirectional bill color introgression. Ecology and Evolution. 13(2). e9812–e9812. 2 indexed citations
7.
Griffith, Simon C., et al.. (2021). Evaluating evidence of mitonuclear incompatibilities with the sex chromosomes in an avian hybrid zone. Evolution. 75(6). 1395–1414. 10 indexed citations
8.
Gupta, Sandeep Kumar, Per Alström, Dhananjai Mohan, et al.. (2019). Taxonomy of cryptic species in the Cyornis rubeculoides complex in the Indian subcontinent. Ibis. 162(3). 924–935. 4 indexed citations
9.
Hooper, Daniel M., Simon C. Griffith, & Trevor D. Price. (2018). Sex chromosome inversions enforce reproductive isolation across an avian hybrid zone. Molecular Ecology. 28(6). 1246–1262. 67 indexed citations
10.
Robin, V. V., Pooja Gupta, Frank E. Rheindt, et al.. (2017). Two new genera of songbirds represent endemic radiations from the Shola Sky Islands of the Western Ghats, India. BMC Evolutionary Biology. 17(1). 31–31. 34 indexed citations
11.
Hooper, Daniel M. & Trevor D. Price. (2017). Chromosomal inversion differences correlate with range overlap in passerine birds. Nature Ecology & Evolution. 1(10). 1526–1534. 86 indexed citations
12.
Griffith, Simon C. & Daniel M. Hooper. (2017). Geographical variation in bill colour in the Long-tailed Finch: evidence for a narrow zone of admixture between sub-species. Emu - Austral Ornithology. 117(2). 141–150. 7 indexed citations
13.
Hooper, Daniel M., Urban Olsson, & Per Alström. (2016). The Rusty-tailed Flycatcher (Muscicapa ruficauda; Aves: Muscicapidae) is a member of the genus Ficedula. Molecular Phylogenetics and Evolution. 102. 56–61. 2 indexed citations
14.
Singhal, Sonal, Ellen M. Leffler, Isaac Turner, et al.. (2015). Stable recombination hotspots in birds. Science. 350(6263). 928–932. 226 indexed citations
15.
Toews, David P. L., Leonardo Campagna, Scott A. Taylor, et al.. (2015). Genomic approaches to understanding population divergence and speciation in birds. The Auk. 133(1). 13–30. 63 indexed citations
16.
Hooper, Daniel M. & Trevor D. Price. (2015). Rates of karyotypic evolution in Estrildid finches differ between island and continental clades. Evolution. 69(4). 890–903. 44 indexed citations
17.
Price, Trevor D., Daniel M. Hooper, Ulf S. Johansson, et al.. (2014). Niche filling slows the diversification of Himalayan songbirds. Nature. 509(7499). 222–225. 293 indexed citations
18.
Alström, Per, Daniel M. Hooper, Yang Liu, et al.. (2014). Discovery of a relict lineage and monotypic family of passerine birds. Biology Letters. 10(3). 20131067–20131067. 19 indexed citations
19.
Kennedy, Jonathan D., Jason T. Weir, Daniel M. Hooper, et al.. (2012). ECOLOGICAL LIMITS ON DIVERSIFICATION OF THE HIMALAYAN CORE CORVOIDEA. Evolution. 66(8). 2599–2613. 36 indexed citations
20.
Price, Trevor D., Dhananjai Mohan, Dieter Thomas Tietze, et al.. (2011). Determinants of Northerly Range Limits along the Himalayan Bird Diversity Gradient. The American Naturalist. 178(S1). S97–S108. 52 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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