Heather Colbert

2.3k citations
10 papers · 1.8k indexed · 1 hit paper · h-index 8

Heather Colbert

10 papers receiving 1.7k citations

Hit Papers

Divergent seven transmembrane receptors are candidate che...5661995202620052015100200300400500

Peers

Heather Colbert
Comparison fields: 5 of 87
  • Aging 1.0k
  • Endocrine and Autonomic Systems 773
  • Sensory Systems 506
  • Cellular and Molecular Neuroscience 664
  • Insect Science 148
Replace Noelle D. Dwyer with:
Noelle D. Dwyer United States
Hidetoshi Komatsu Japan
Noëlle D. L’Étoile United States
Gary Moulder United States
Erin L. Peckol United States
Andy J. Chang United States
Anne Lanjuin United States
Lijun Kang China
Hiroshi Suzuki United States
Christian Frøkjær‐Jensen United States
Heather Colbert relative to Noelle D. Dwyer United States Noelle D. Dwyer's profile →
Citations per field
00.5×1.5×2.3×
Noelle D. Dwyer · 1×
Citations per year

Countries citing papers authored by Heather Colbert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

10 of 10 papers shown
#Work
1 20221
2 20181
3 20077
4 1997489
5 199795
6
199620
7
Divergent seven transmembrane receptors are candidate chemosensory receptors in C. elegansbreakdown →
1995566
8 1995267
9 1994169
10 1991152

About Heather Colbert

Heather Colbert is a scholar working on Aging, Endocrine and Autonomic Systems and Sensory Systems, 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), Systems Engineering Methodologies and Applications (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Complex Systems and Decision Making (1 paper) and Occupational Health and Safety Research (1 paper). The work is most often cited by research in Aging (1.0k citations), Endocrine and Autonomic Systems (773 citations) and Sensory Systems (506 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 David M. Tobin. 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.

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