Shawn R. Lockery
- Aging top 0.02%
- Genetics, Aging, and Longevity in Model Organisms 47
- Endocrine and Autonomic Systems top 0.2%
- Circadian rhythm and melatonin 32
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- Neurobiology and Insect Physiology Research 14
- Photoreceptor and optogenetics research 8
- Sensory Systems top 5%
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 5
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- Spaceflight effects on biology 19
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- Cephalopods and Marine Biology 4
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- Insect and Arachnid Ecology and Behavior 4
- Co-authors
- Serge FaumontJonathan T. PierceMiriam B. GoodmanThomas M. MorseTod R. ThieleLeon AveryTheodore H. LindsayOliver Hobert
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Shawn R. Lockery
67 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 140
- Aging 2.5k
- Endocrine and Autonomic Systems 1.7k
- Cellular and Molecular Neuroscience 1.4k
- Sensory Systems 143
- Cognitive Neuroscience 540
Countries citing papers authored by Shawn R. Lockery
This map shows the geographic impact of Shawn R. Lockery'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 Shawn R. Lockery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn R. Lockery more than expected).
Fields of papers citing papers by Shawn R. Lockery
This network shows the impact of papers produced by Shawn R. Lockery. 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 Shawn R. Lockery. The network helps show where Shawn R. Lockery may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shawn R. Lockery, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2018 | 21 | |
| 3 | 2016 | 19 | |
| 4 | 2015 | 79 | |
| 5 | 2012 | 94 | |
| 6 | 2012 | 136 | |
| 7 | 2011 | 100 | |
| 8 | 2011 | 48 | |
| 9 | 2009 | 30 | |
| 10 | 2009 | 84 | |
| 11 | 2005 | 84 | |
| 12 | 2005 | 26 | |
| 13 | 2005 | 45 | |
| 14 | 2004 | 49 | |
| 15 | 2004 | 278 | |
| 16 | Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in the Nematode C. elegans. | 2003 | 1 |
| 17 | 1999 | 67 | |
| 18 | Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans | 1996 | 22 |
| 19 | Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech | 1989 | 2 |
| 20 | Behavioral choice—in theory and in practice | 1989 | 1 |
About Shawn R. Lockery
Shawn R. Lockery is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (47 papers), Circadian rhythm and melatonin (32 papers), Spaceflight effects on biology (19 papers), Neurobiology and Insect Physiology Research (14 papers), Photoreceptor and optogenetics research (8 papers), Neural dynamics and brain function (5 papers), Cephalopods and Marine Biology (4 papers) and Insect and Arachnid Ecology and Behavior (4 papers). The work is most often cited by research in Aging (2.5k citations), Endocrine and Autonomic Systems (1.7k citations) and Cellular and Molecular Neuroscience (1.4k citations). Shawn R. Lockery has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Serge Faumont, Jonathan T. Pierce, Miriam B. Goodman, Thomas M. Morse, Tod R. Thiele, Leon Avery, Theodore H. Lindsay, Oliver Hobert, Christian Frøkjær‐Jensen and David H. Hall. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.
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.