Claire McKellar

2.9k total citations
11 papers, 383 citations indexed

About

Claire McKellar is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Claire McKellar has authored 11 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 7 papers in Genetics and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Claire McKellar's work include Neurobiology and Insect Physiology Research (10 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Animal Behavior and Reproduction (5 papers). Claire McKellar is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Animal Behavior and Reproduction (5 papers). Claire McKellar collaborates with scholars based in United States, Australia and United Kingdom. Claire McKellar's co-authors include J. Simpson, Stefanie Hampel, Phuong Chung, Loren L. Looger, Donald Hall, Barry J. Dickson, Carla J. Shatz, Yick-Bun Chan, Edward A. Kravitz and Andrew M. Seeds and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Methods.

In The Last Decade

Claire McKellar

11 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claire McKellar United States 10 260 119 99 92 52 11 383
Diego A. Pacheco United States 7 290 1.1× 143 1.2× 162 1.6× 70 0.8× 53 1.0× 8 406
Gus K. Lott United States 4 267 1.0× 111 0.9× 101 1.0× 46 0.5× 68 1.3× 6 351
Avinash Khandelwal United States 4 227 0.9× 113 0.9× 68 0.7× 41 0.4× 75 1.4× 4 348
Sebastian Cachero United Kingdom 8 310 1.2× 151 1.3× 138 1.4× 98 1.1× 17 0.3× 12 380
Jeremy Florman United States 9 214 0.8× 80 0.7× 75 0.8× 73 0.8× 66 1.3× 11 436
Shiuan‐Tze Wu United States 6 247 0.9× 113 0.9× 86 0.9× 59 0.6× 46 0.9× 8 288
Hui Chiu United States 12 302 1.2× 119 1.0× 71 0.7× 291 3.2× 55 1.1× 18 642
Stefanie Hampel United States 7 375 1.4× 180 1.5× 164 1.7× 141 1.5× 43 0.8× 9 547
Kyle J. McCulloch United States 10 204 0.8× 131 1.1× 176 1.8× 203 2.2× 41 0.8× 19 469
Dawnis M. Chow United States 7 265 1.0× 140 1.2× 133 1.3× 36 0.4× 55 1.1× 9 382

Countries citing papers authored by Claire McKellar

Since Specialization
Citations

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

Fields of papers citing papers by Claire McKellar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire McKellar

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

All Works

11 of 11 papers shown
1.
Dorkenwald, Sven, Arie Matsliah, Amy Sterling, et al.. (2024). The fly connectome reveals a path to the effectome. Nature. 634(8032). 201–209. 9 indexed citations
2.
Lin, Albert, Runzhe Yang, Sven Dorkenwald, et al.. (2024). Network statistics of the whole-brain connectome of Drosophila. Nature. 634(8032). 153–165. 35 indexed citations
3.
Baker, Christa A., Claire McKellar, Rich Pang, et al.. (2022). Neural network organization for courtship-song feature detection in Drosophila. Current Biology. 32(15). 3317–3333.e7. 14 indexed citations
4.
McKellar, Claire, Igor Siwanowicz, Barry J. Dickson, & J. Simpson. (2020). Controlling motor neurons of every muscle for fly proboscis reaching. eLife. 9. 21 indexed citations
5.
McKellar, Claire, et al.. (2019). Threshold-Based Ordering of Sequential Actions during Drosophila Courtship. Current Biology. 29(3). 426–434.e6. 36 indexed citations
6.
Palavicino‐Maggio, Caroline B., Yick-Bun Chan, Claire McKellar, & Edward A. Kravitz. (2019). A small number of cholinergic neurons mediate hyperaggression in female Drosophila. Proceedings of the National Academy of Sciences. 116(34). 17029–17038. 35 indexed citations
7.
McKellar, Claire & Robert A. Wyttenbach. (2017). A Protocol Demonstrating 60 Different Drosophila Behaviors in One Assay.. PubMed. 15(2). A110–A116. 10 indexed citations
8.
Hampel, Stefanie, Claire McKellar, J. Simpson, & Andrew M. Seeds. (2017). Simultaneous activation of parallel sensory pathways promotes a grooming sequence in Drosophila. eLife. 6. 36 indexed citations
9.
McKellar, Claire. (2016). Motor control of fly feeding. Journal of Neurogenetics. 30(2). 101–111. 16 indexed citations
10.
Hampel, Stefanie, Phuong Chung, Claire McKellar, et al.. (2011). Drosophila Brainbow: a recombinase-based fluorescence labeling technique to subdivide neural expression patterns. Nature Methods. 8(3). 253–259. 151 indexed citations
11.
McKellar, Claire & Carla J. Shatz. (2008). Synaptogenesis in Purified Cortical Subplate Neurons. Cerebral Cortex. 19(8). 1723–1737. 20 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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