Nick Skaer

761 total citations
9 papers, 634 citations indexed

About

Nick Skaer is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Nick Skaer has authored 9 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Molecular Biology. Recurrent topics in Nick Skaer's work include Neurobiology and Insect Physiology Research (8 papers), Animal Behavior and Reproduction (5 papers) and Physiological and biochemical adaptations (3 papers). Nick Skaer is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Animal Behavior and Reproduction (5 papers) and Physiological and biochemical adaptations (3 papers). Nick Skaer collaborates with scholars based in United Kingdom, France and Sweden. Nick Skaer's co-authors include Julian A. T. Dow, S. H. P. Maddrell, Patricia Simpson, N. J. Tublitz, Shireen-Anne Davies, Simon H. P. Maddrell, Kim Kaiser, Daniela Pistillo, Graham Huesmann and Martin O’Donnell and has published in prestigious journals such as Development, Developmental Biology and Trends in Genetics.

In The Last Decade

Nick Skaer

9 papers receiving 631 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nick Skaer 431 215 177 160 145 9 634
Shireen-Anne Davies 429 1.0× 198 0.9× 154 0.9× 216 1.4× 144 1.0× 18 669
Hans‐Jürgen Agricola 481 1.1× 165 0.8× 120 0.7× 183 1.1× 172 1.2× 13 672
Shireen‐A. Davies 571 1.3× 231 1.1× 214 1.2× 271 1.7× 182 1.3× 21 833
Valerie P. Pollock 488 1.1× 187 0.9× 137 0.8× 219 1.4× 172 1.2× 11 656
Simon H. P. Maddrell 498 1.2× 333 1.5× 278 1.6× 234 1.5× 152 1.0× 14 881
Nuria M. Romero 320 0.7× 214 1.0× 116 0.7× 83 0.5× 121 0.8× 18 589
Maija Slaidina 409 0.9× 285 1.3× 117 0.7× 123 0.8× 156 1.1× 12 832
N. J. Tublitz 783 1.8× 206 1.0× 221 1.2× 308 1.9× 298 2.1× 19 921
F. M. Butterworth 416 1.0× 202 0.9× 78 0.4× 211 1.3× 263 1.8× 26 708
Yiting Liu 438 1.0× 128 0.6× 95 0.5× 137 0.9× 141 1.0× 12 584

Countries citing papers authored by Nick Skaer

Since Specialization
Citations

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

Fields of papers citing papers by Nick Skaer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Skaer

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

All Works

9 of 9 papers shown
1.
Pistillo, Daniela, Nick Skaer, & Patricia Simpson. (2002). scuteexpression inCalliphora vicinareveals an ancestral pattern of longitudinal stripes on the thorax of higher Diptera. Development. 129(3). 563–572. 40 indexed citations
2.
Skaer, Nick, Daniela Pistillo, & Patricia Simpson. (2002). Transcriptional Heterochrony of scute and Changes in Bristle Pattern between Two Closely Related Species of Blowfly. Developmental Biology. 252(1). 31–45. 27 indexed citations
3.
Skaer, Nick, Daniela Pistillo, Jean‐Michel Gibert, et al.. (2002). Gene duplication at the achaete–scute complex and morphological complexity of the peripheral nervous system in Diptera. Trends in Genetics. 18(8). 399–405. 47 indexed citations
4.
Skaer, Nick, Dick R. Nässel, S. H. P. Maddrell, & N. J. Tublitz. (2002). Neurochemical fine tuning of a peripheral tissue: peptidergic and aminergic regulation of fluid secretion by Malpighian tubules in the tobacco hawkmothM. sexta. Journal of Experimental Biology. 205(13). 1869–1880. 59 indexed citations
6.
Davies, Shireen-Anne, Emma Stewart, Graham Huesmann, et al.. (1997). Neuropeptide stimulation of the nitric oxide signaling pathway in Drosophila melanogaster Malpighian tubules. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 273(2). R823–R827. 62 indexed citations
7.
Davies, Shireen-Anne, Graham Huesmann, S. H. P. Maddrell, et al.. (1995). CAP2b, a cardioacceleratory peptide, is present in Drosophila and stimulates tubule fluid secretion via cGMP. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 269(6). R1321–R1326. 123 indexed citations
8.
Dow, Julian A. T., et al.. (1994). A novel role for the nitric oxide-cGMP signaling pathway: the control of epithelial function in Drosophila. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 266(5). R1716–R1719. 65 indexed citations
9.
Dow, Julian A. T., et al.. (1994). The MalpighianC Tubules Of Drosophila Melanogaster: A Novel Phenotype For Studies Of Fluid Secretion And Its Control. Journal of Experimental Biology. 197(1). 421–428. 187 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026