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Richard C. Gerkin

Arizona State University · US
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Area of research
Sensory Systems · Biomedical Engineering
Research interest
Research focused on Perception and Olfaction, with related work in Coronavirus disease 2019 (COVID-19), Odor, Taste. Notable publications include 'More Than Smell—COVID-19 Is Associated With Severe Impairment of Smell, Taste, and Chemesthesis', 'Predicting human olfactory perception from chemical features of odor molecules', and 'Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms'.
h-index
citations
1,530
works
11
NIH funding
primary concept
email

Recent publications

On the Role of Theory and Modeling in Neuroscience
Journal of Neuroscience 2023cited by 94position: middledoi
Multiple models for outbreak decision support in the face of uncertainty
Proceedings of the National Academy of Sciences 2023cited by 39position: middledoi
Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions
Communications Medicine 2023cited by 13position: middledoi
The perception of odor pleasantness is shared across cultures
Current Biology 2022cited by 112position: middledoi
A behavioral paradigm for measuring perceptual distances in mice
Cell Reports Methods 2022cited by 20position: middledoi
More Than Smell—COVID-19 Is Associated With Severe Impairment of Smell, Taste, and Chemesthesis
Chemical Senses 2020cited by 531position: middledoi
Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms
Chemical Senses 2020cited by 182position: firstdoi
On the role of theory and modeling in neuroscience
Zenodo (CERN European Organization for Nuclear Research) 2020cited by 2position: middledoi
OpenWorm: overview and recent advances in integrative biological simulation of <i>Caenorhabditis elegans</i>
Philosophical Transactions of the Royal Society B Biological Sciences 2018cited by 97position: middledoi
Predicting human olfactory perception from chemical features of odor molecules
Science 2017cited by 341position: middledoi
25th Annual Computational Neuroscience Meeting: CNS-2016
BMC Neuroscience 2016cited by 99position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

· 2 papers (2017–2022)Farzan Nadim · Rutgers, The State University of New Jersey2 papers (2020–2023)Sabyasachi Shivkumar · Allen Institute for Brain Science2 papers (2020–2023)Veronica A. Alvarez · Eunice Kennedy Shriver National Institute of Child Health and Human Development2 papers (2020–2023)Matthew F. Singh · Michigan State University2 papers (2020–2023)A. David Redish · University of Minnesota, Twin Cities2 papers (2020–2023)Sarah Marzen · University of California, Berkeley2 papers (2020–2023)Pablo Meyer · IBM (United States)2 papers (2017–2023)Horacio G. Rotstein · Rutgers, The State University of New Jersey2 papers (2020–2023)Joseph D. Monaco · Johns Hopkins Medicine2 papers (2020–2023)Daniel Levenstein · New York University2 papers (2020–2023)Roger D. Traub · Columbia University2 papers (2020–2023)Salma Quraishi · The University of Texas at San Antonio2 papers (2020–2023)Habiba Azab · University of Rochester2 papers (2020–2023)Guillermo Cecchi · Rockefeller University2 papers (2017–2023)Astrid A. Prinz · Emory University2 papers (2020–2023)Raquel Norel · University of California, Santa Barbara2 papers (2017–2023)Fidel Santamarı́a · The University of Texas at San Antonio2 papers (2020–2023) · 2 papers (2020–2023)Renaud Jolivet · Maastricht University Medical Centre2 papers (2020–2023)
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