Bridget C. Lear
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Neurobiology and Insect Physiology Research 15
- Photoreceptor and optogenetics research 5
-
- Circadian rhythm and melatonin 13
- Co-authors
- Ravi Allada (16 shared papers)Luoying Zhang (4 shared papers)Kevin Keegan (3 shared papers)Cory Pfeiffenberger (3 shared papers)Analyne Schroeder (1 shared paper)Nipam H. Patel (2 shared papers)Indira M. Raman (2 shared papers)Robert L. Scott (2 shared papers)
- Journals
- Current Biology (4 papers)Cold Spring Harbor Protocols (3 papers)Neuron (2 papers)PLoS Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesBulgariaSouth Korea
In The Last Decade
Bridget C. Lear
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Endocrine and Autonomic Systems 703
- Aging 158
- Cellular and Molecular Neuroscience 885
- Sensory Systems 39
- Genetics 163
Countries citing papers authored by Bridget C. Lear
This map shows the geographic impact of Bridget C. Lear'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 Bridget C. Lear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bridget C. Lear more than expected).
Fields of papers citing papers by Bridget C. Lear
This network shows the impact of papers produced by Bridget C. Lear. 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 Bridget C. Lear. The network helps show where Bridget C. Lear may publish in the future.
Co-authors
The 25 scholars most cited alongside Bridget C. Lear, 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 | 2005 | 188 | |
| 2 | 2015 | 150 | |
| 3 | 2010 | 137 | |
| 4 | 2010 | 135 | |
| 5 | 2003 | 115 | |
| 6 | 2009 | 89 | |
| 7 | 2005 | 77 | |
| 8 | 2002 | 73 | |
| 9 | 2010 | 53 | |
| 10 | 2009 | 42 | |
| 11 | 2013 | 39 | |
| 12 | 2010 | 36 | |
| 13 | 1999 | 34 | |
| 14 | 2022 | 24 | |
| 15 | 2013 | 16 | |
| 16 | 2020 | 13 | |
| 17 | 2017 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 6 |
About Bridget C. Lear
Bridget C. Lear is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Genetics, Plant Science and Molecular Biology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Circadian rhythm and melatonin (13 papers), Photoreceptor and optogenetics research (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Plant Molecular Biology Research (3 papers), Light effects on plants (2 papers), Developmental Biology and Gene Regulation (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (703 citations), Aging (158 citations), Cellular and Molecular Neuroscience (885 citations), Sensory Systems (39 citations) and Genetics (163 citations). Bridget C. Lear has collaborated with scholars based in United States, Bulgaria and South Korea. Frequent co-authors include Ravi Allada, Luoying Zhang, Kevin Keegan, Cory Pfeiffenberger, Analyne Schroeder, Nipam H. Patel, Indira M. Raman, Robert L. Scott, Howard A. Nash and Yixiao Liu. Their work appears in journals such as Current Biology, Cold Spring Harbor Protocols, Neuron, PLoS Biology and Proceedings of the National Academy of Sciences.
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.