Claire McKellar

2.9k citations
11 papers · 383 · h-index 10

Impact in

Papers in

Claire McKellar

11 papers receiving 380 citations

Peers

Claire McKellar
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 260
  • Aging 17
  • Biophysics 44
  • Ecology, Evolution, Behavior and Systematics 99
  • Genetics 119
Replace Stefanie Hampel with:
Stefanie Hampel United States
Maria L. Spletter Germany
Andrew M. Seeds United States
Diego A. Pacheco United States
Aaron D. Ostrovsky United Kingdom
Jui‐Chun Kao United States
Michael Winding United States
Dafni Hadjieconomou United Kingdom
Jacob S. Yang United States
Tom Kazimiers United States
Claire McKellar relative to Stefanie Hampel United States Stefanie Hampel's profile →
Citations per field
00.5×1.5×1.9×
Stefanie Hampel · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Claire McKellar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Claire McKellar Line = papers co-authored together Claire McKellar links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011151
2 201936
3 201736
4 202435
5 201935
6 202021
7 200820
8 201616
9 202214
10
A Protocol Demonstrating 60 Different Drosophila Behaviors in One Assay.
201710
11 20249

About Claire McKellar

Claire McKellar is a scholar working on Cellular and Molecular Neuroscience, Genetics, Ecology, Evolution, Behavior and Systematics, Cognitive Neuroscience and Molecular Biology, having authored 11 papers that have together received 383 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (10 papers), Insect and Arachnid Ecology and Behavior (7 papers), Animal Behavior and Reproduction (5 papers), Neural dynamics and brain function (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Plant and Biological Electrophysiology Studies (1 paper), RNA Research and Splicing (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (260 citations), Aging (17 citations), Biophysics (44 citations), Ecology, Evolution, Behavior and Systematics (99 citations) and Genetics (119 citations). Claire McKellar has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include J. Simpson, Stefanie Hampel, Phuong Chung, Donald Hall, Loren L. Looger, Barry J. Dickson, Carla J. Shatz, Caroline B. Palavicino‐Maggio, Yick-Bun Chan and Andrew M. Seeds. Their work appears in journals such as Current Biology, eLife, Nature, Nature Methods and Cerebral Cortex.

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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