Heather Colbert
Impact in
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
Papers in
-
- Circadian rhythm and melatonin 6
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Co-authors
- Cornelia I. Bargmann (7 shared papers)Noelle D. Dwyer (3 shared papers)Emily R. Troemel (2 shared papers)Joseph Chou (2 shared papers)Piali Sengupta (3 shared papers)Hikaru Ueno (1 shared paper)Jaime A. Escobedo (1 shared paper)Lewis T. Williams (1 shared paper)
- Journals
- Cell (2 papers)Journal of Neuroscience (1 paper)Science (1 paper)Novartis Foundation symposium (1 paper)Learning & Memory (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Heather Colbert
10 papers receiving 1.7k citations
Heather Colbert's Hit Papers
Peers
Comparison fields: 5 of 87
- Aging 1.0k
- Endocrine and Autonomic Systems 773
- Sensory Systems 506
- Cellular and Molecular Neuroscience 664
- Insect Science 148
Countries citing papers authored by Heather Colbert
This map shows the geographic impact of Heather Colbert'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 Heather Colbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Colbert more than expected).
Fields of papers citing papers by Heather Colbert
This network shows the impact of papers produced by Heather Colbert. 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 Heather Colbert. The network helps show where Heather Colbert may publish in the future.
Co-authors
The 13 scholars most cited alongside Heather Colbert, 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 | Divergent seven transmembrane receptors are candidate chemosensory receptors in C. elegans Hit paper breakdown → | 1995 | 566 |
| 2 | 1997 | 489 | |
| 3 | 1995 | 267 | |
| 4 | 1994 | 169 | |
| 5 | 1991 | 152 | |
| 6 | 1997 | 95 | |
| 7 | 1996 | 20 | |
| 8 | 2007 | 7 | |
| 9 | 2022 | 1 | |
| 10 | 2018 | 1 |
About Heather Colbert
Heather Colbert is a scholar working on Endocrine and Autonomic Systems, Aging, Cellular and Molecular Neuroscience, Sensory Systems and Safety, Risk, Reliability and Quality, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Olfactory and Sensory Function Studies (3 papers), Neurobiology and Insect Physiology Research (3 papers), Occupational Health and Safety Research (1 paper), Traffic and Road Safety (1 paper), Human-Automation Interaction and Safety (1 paper) and Complex Systems and Decision Making (1 paper). The work is most often cited by research in Aging (1.0k citations), Endocrine and Autonomic Systems (773 citations), Sensory Systems (506 citations), Cellular and Molecular Neuroscience (664 citations) and Insect Science (148 citations). Heather Colbert has collaborated with scholars based in United States and Canada. Frequent co-authors include Cornelia I. Bargmann, Noelle D. Dwyer, Emily R. Troemel, Joseph Chou, Piali Sengupta, Hikaru Ueno, Jaime A. Escobedo, Lewis T. Williams, Leslie M. Tong and Kayvan Roayaie. Their work appears in journals such as Cell, Journal of Neuroscience, Science, Novartis Foundation symposium and Learning & Memory.
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.