Conor M. Stack
Impact in
- Sensory Systems top 1%
- Olfactory and Sensory Function Studies
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- Neurobiology and Insect Physiology Research
- Genetic Neurodegenerative Diseases
Papers in
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- Neurobiology and Insect Physiology Research 4
- Neuropeptides and Animal Physiology 3
- Genetic Neurodegenerative Diseases 2
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- Olfactory and Sensory Function Studies 4
- Co-authors
- Nathalie Mandairon (4 shared papers)Christiane Linster (3 shared papers)Carly Kiselycznyk (2 shared papers)Thomas A. Cleland (1 shared paper)Daniel B. Rubin (1 shared paper)Casara Jean Ferretti (1 shared paper)Maria Pennuto (2 shared papers)Kenneth H. Fischbeck (2 shared papers)
- Journals
- Behavioral Neuroscience (1 paper)Experimental Neurology (1 paper)Journal of Molecular Neuroscience (1 paper)Science Translational Medicine (1 paper)International Journal of Developmental Neuroscience (1 paper)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Conor M. Stack
10 papers receiving 619 citations
Peers
Comparison fields: 5 of 68
- Sensory Systems 280
- Cellular and Molecular Neuroscience 396
- Genetics 107
- Developmental Neuroscience 40
- Nutrition and Dietetics 118
Countries citing papers authored by Conor M. Stack
This map shows the geographic impact of Conor M. Stack'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 Conor M. Stack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor M. Stack more than expected).
Fields of papers citing papers by Conor M. Stack
This network shows the impact of papers produced by Conor M. Stack. 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 Conor M. Stack. The network helps show where Conor M. Stack may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor M. Stack, 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 | 2009 | 173 | |
| 2 | 2006 | 116 | |
| 3 | 2006 | 77 | |
| 4 | 2006 | 71 | |
| 5 | 2006 | 52 | |
| 6 | 2008 | 43 | |
| 7 | 2016 | 37 | |
| 8 | 2007 | 27 | |
| 9 | 2008 | 27 | |
| 10 | 2024 | 2 |
About Conor M. Stack
Conor M. Stack is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Nutrition and Dietetics, Molecular Biology and Social Psychology, having authored 10 papers that have together received 625 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (4 papers), Olfactory and Sensory Function Studies (4 papers), Neurobiology and Insect Physiology Research (4 papers), Neuropeptides and Animal Physiology (3 papers), Genetic Neurodegenerative Diseases (2 papers), Neuroendocrine regulation and behavior (2 papers), Muscle Physiology and Disorders (2 papers) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Sensory Systems (280 citations), Cellular and Molecular Neuroscience (396 citations), Genetics (107 citations), Developmental Neuroscience (40 citations) and Nutrition and Dietetics (118 citations). Conor M. Stack has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Nathalie Mandairon, Christiane Linster, Carly Kiselycznyk, Thomas A. Cleland, Daniel B. Rubin, Casara Jean Ferretti, Maria Pennuto, Kenneth H. Fischbeck, Gen Sobue and Masahisa Katsuno. Their work appears in journals such as Behavioral Neuroscience, Experimental Neurology, Journal of Molecular Neuroscience, Science Translational Medicine and International Journal of Developmental Neuroscience.
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.