David Wheatcroft

1.4k total citations · 1 hit paper
36 papers, 998 citations indexed

About

David Wheatcroft is a scholar working on Ecology, Evolution, Behavior and Systematics, Developmental Biology and Ecology. According to data from OpenAlex, David Wheatcroft has authored 36 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ecology, Evolution, Behavior and Systematics, 25 papers in Developmental Biology and 17 papers in Ecology. Recurrent topics in David Wheatcroft's work include Animal Behavior and Reproduction (30 papers), Animal Vocal Communication and Behavior (25 papers) and Plant and animal studies (14 papers). David Wheatcroft is often cited by papers focused on Animal Behavior and Reproduction (30 papers), Animal Vocal Communication and Behavior (25 papers) and Plant and animal studies (14 papers). David Wheatcroft collaborates with scholars based in Sweden, United States and Japan. David Wheatcroft's co-authors include Toshitaka N. Suzuki, Michael Griesser, Trevor D. Price, Jason T. Weir, Anna Qvarnström, Indriķis Krams, Tatjana Krama, Markus J. Rantala, Daisuke Kyogoku and S. Eryn McFarlane and has published in prestigious journals such as Nature Communications, Trends in Ecology & Evolution and Current Biology.

In The Last Decade

David Wheatcroft

35 papers receiving 986 citations

Hit Papers

Experimental evidence for compositional syntax in bird calls 2016 2026 2019 2022 2016 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Wheatcroft Sweden 21 696 617 395 147 119 36 998
Toshitaka N. Suzuki Japan 21 735 1.1× 764 1.2× 483 1.2× 62 0.4× 223 1.9× 35 1.2k
Christopher N. Templeton United States 21 1.3k 1.8× 1.1k 1.7× 775 2.0× 100 0.7× 235 2.0× 46 1.6k
Roberta Pickert United States 9 540 0.8× 626 1.0× 329 0.8× 48 0.3× 186 1.6× 11 940
Benjamin J. Pitcher Australia 19 567 0.8× 546 0.9× 593 1.5× 151 1.0× 124 1.0× 41 1.0k
James J. H. St Clair United Kingdom 17 440 0.6× 231 0.4× 404 1.0× 207 1.4× 288 2.4× 25 961
Matthew B. V. Bell United Kingdom 22 886 1.3× 388 0.6× 515 1.3× 191 1.3× 257 2.2× 36 1.2k
Paul C. Mundinger United States 13 638 0.9× 666 1.1× 427 1.1× 79 0.5× 81 0.7× 19 904
Peter F. Jenkins New Zealand 13 574 0.8× 682 1.1× 440 1.1× 84 0.6× 62 0.5× 18 895
David M. Logue Canada 19 794 1.1× 721 1.2× 383 1.0× 104 0.7× 69 0.6× 44 977
Soila Sayialel United Kingdom 6 417 0.6× 430 0.7× 562 1.4× 196 1.3× 390 3.3× 6 1.0k

Countries citing papers authored by David Wheatcroft

Since Specialization
Citations

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

Fields of papers citing papers by David Wheatcroft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Wheatcroft

This figure shows the co-authorship network connecting the top 25 collaborators of David Wheatcroft. A scholar is included among the top collaborators of David Wheatcroft 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 David Wheatcroft. David Wheatcroft 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.
Wheatcroft, David, et al.. (2025). Traffic noise exposure impacts song production in wild male field crickets ( Gryllus bimaculatus ) under predator and intrasexual competition contexts. Royal Society Open Science. 12(5). 241346–241346. 1 indexed citations
2.
Amcoff, Mirjam, et al.. (2025). Evolutionary changes in telencephalon size affect both egocentric and allocentric spatial learning in guppies. Journal of Experimental Biology. 228(17).
3.
Both, Christiaan, et al.. (2024). Translocated wild birds are predisposed to learn songs of their ancestral population. Current Biology. 34(11). 2535–2540.e4. 2 indexed citations
4.
Ålund, Murielle, S. Eryn McFarlane, Arild Husby, et al.. (2024). Inheritance of Material Wealth in a Natural Population. Ecology Letters. 27(12). e14505–e14505. 1 indexed citations
6.
Wheatcroft, David, Jaime Muriel, Malcolm D. Burgess, et al.. (2022). Species-specific song responses emerge as a by-product of tuning to the local dialect. Current Biology. 32(23). 5153–5158.e5. 6 indexed citations
7.
Kyogoku, Daisuke & David Wheatcroft. (2020). Heterospecific mating interactions as an interface between ecology and evolution. Journal of Evolutionary Biology. 33(10). 1330–1344. 20 indexed citations
8.
Mugal, Carina F., Wang Mi, Niclas Backström, et al.. (2020). Tissue-specific patterns of regulatory changes underlying gene expression differences among Ficedula flycatchers and their naturally occurring F1 hybrids. Genome Research. 30(12). 1727–1739. 11 indexed citations
9.
Suzuki, Toshitaka N., Michael Griesser, & David Wheatcroft. (2019). Syntactic rules in avian vocal sequences as a window into the evolution of compositionality. Animal Behaviour. 151. 267–274. 36 indexed citations
10.
Mathevon, Nicolas, et al.. (2019). Experience modulates an insect’s response to anthropogenic noise. Behavioral Ecology. 31(1). 90–96. 21 indexed citations
11.
Suzuki, Toshitaka N., David Wheatcroft, & Michael Griesser. (2018). Call combinations in birds and the evolution of compositional syntax. PLoS Biology. 16(8). e2006532–e2006532. 40 indexed citations
12.
Sirkiä, Päivi M., S. Eryn McFarlane, W. E. Jones, et al.. (2017). Climate‐driven build‐up of temporal isolation within a recently formed avian hybrid zone. Evolution. 72(2). 363–374. 17 indexed citations
13.
Griesser, Michael, David Wheatcroft, & Toshitaka N. Suzuki. (2017). From bird calls to human language: exploring the evolutionary drivers of compositional syntax. Current Opinion in Behavioral Sciences. 21. 6–12. 21 indexed citations
14.
Wheatcroft, David & Anna Qvarnström. (2017). Genetic divergence of early song discrimination between two young songbird species. Nature Ecology & Evolution. 1(7). 31 indexed citations
15.
McFarlane, S. Eryn, et al.. (2016). Song discrimination by nestling collared flycatchers during early development. Biology Letters. 12(7). 10 indexed citations
16.
Wheatcroft, David & Anna Qvarnström. (2015). A blueprint for vocal learning: auditory predispositions from brains to genomes. Biology Letters. 11(8). 20150155–20150155. 25 indexed citations
17.
Wheatcroft, David. (2015). Reproductive interference via display signals: the challenge of multiple receivers. Population Ecology. 57(2). 333–337. 8 indexed citations
18.
Weir, Jason T., David Wheatcroft, & Trevor D. Price. (2012). THE ROLE OF ECOLOGICAL CONSTRAINT IN DRIVING THE EVOLUTION OF AVIAN SONG FREQUENCY ACROSS A LATITUDINAL GRADIENT. Evolution. 66(9). 2773–2783. 59 indexed citations
19.
Krams, Indriķis, et al.. (2009). The increased risk of predation enhances cooperation. Proceedings of the Royal Society B Biological Sciences. 277(1681). 513–518. 71 indexed citations
20.
Wheatcroft, David & Trevor D. Price. (2008). Reciprocal cooperation in avian mobbing: playing nice pays. Trends in Ecology & Evolution. 23(8). 416–419. 22 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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