Conor C. Smith
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
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- Tryptophan and brain disorders
Papers in
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- Neuroscience and Neuropharmacology Research 3
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- Lipid metabolism and biosynthesis 2
- Co-authors
- Mary Jo LaDu (3 shared papers)David H. Farb (3 shared papers)Terrell T. Gibbs (3 shared papers)Leon M. Tai (2 shared papers)Manasi Malik (1 shared paper)Ishita J. Parikh (1 shared paper)Jared B. Vasquez (1 shared paper)Guojun Bu (1 shared paper)
- Journals
- Molecular Pharmacology (2 papers)Molecular Neurodegeneration (1 paper)Physical Review A (1 paper)Journal of Lipid Research (1 paper)Neurobiology of Aging (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Conor C. Smith
14 papers receiving 424 citations
Peers
Comparison fields: 5 of 80
- Neurology 112
- Biological Psychiatry 28
- Behavioral Neuroscience 26
- Physiology 138
- Cellular and Molecular Neuroscience 83
Countries citing papers authored by Conor C. Smith
This map shows the geographic impact of Conor C. Smith'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 C. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor C. Smith more than expected).
Fields of papers citing papers by Conor C. Smith
This network shows the impact of papers produced by Conor C. Smith. 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 C. Smith. The network helps show where Conor C. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor C. Smith, 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 | 2015 | 142 | |
| 2 | 2015 | 80 | |
| 3 | 2014 | 49 | |
| 4 | 2016 | 37 | |
| 5 | 2013 | 34 | |
| 6 | 2016 | 33 | |
| 7 | 2024 | 15 | |
| 8 | 2014 | 13 | |
| 9 | 2005 | 12 | |
| 10 | 2023 | 7 | |
| 11 | 2009 | 6 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 | |
| 15 | Understanding the Healthcare Experiences of LGBTQ+ People: An Adaptation of the Daily Heterosexist Experiences Questionnaire | 2021 | 0 |
| 16 | 2023 | 0 |
About Conor C. Smith
Conor C. Smith is a scholar working on Cellular and Molecular Neuroscience, Biochemistry, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 16 papers that have together received 432 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Lipid metabolism and biosynthesis (2 papers), Quantum Information and Cryptography (2 papers), Quantum many-body systems (2 papers), Model Reduction and Neural Networks (2 papers), Receptor Mechanisms and Signaling (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Neurology (112 citations), Biological Psychiatry (28 citations), Behavioral Neuroscience (26 citations), Physiology (138 citations) and Cellular and Molecular Neuroscience (83 citations). Conor C. Smith has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Mary Jo LaDu, David H. Farb, Terrell T. Gibbs, Leon M. Tai, Manasi Malik, Ishita J. Parikh, Jared B. Vasquez, Guojun Bu, David W. Fardo and Steven Estus. Their work appears in journals such as Molecular Pharmacology, Molecular Neurodegeneration, Physical Review A, Journal of Lipid Research and Neurobiology of Aging.
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.