Conor Smith
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
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- Tryptophan and brain disorders
Papers in
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- Receptor Mechanisms and Signaling 2
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Mary Jo LaDu (3 shared papers)Terrell T. Gibbs (3 shared papers)David H. Farb (3 shared papers)Leon M. Tai (2 shared papers)Steven Estus (1 shared paper)Ishita Parikh (1 shared paper)Guojun Bu (1 shared paper)David W. Fardo (1 shared paper)
- Journals
- Molecular Pharmacology (2 papers)Journal of Lipid Research (1 paper)Physical review. A (1 paper)Physical Review Letters (1 paper)Current Topics in Medicinal Chemistry (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Conor Smith
13 papers receiving 395 citations
Peers
Comparison fields: 5 of 79
- Neurology 106
- Biological Psychiatry 25
- Behavioral Neuroscience 26
- Physiology 133
- Cellular and Molecular Neuroscience 83
Countries citing papers authored by Conor Smith
This map shows the geographic impact of Conor 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 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 Smith more than expected).
Fields of papers citing papers by Conor Smith
This network shows the impact of papers produced by Conor 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 Smith. The network helps show where Conor Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor 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 | 133 | |
| 2 | 2015 | 75 | |
| 3 | 2014 | 47 | |
| 4 | 2016 | 35 | |
| 5 | 2013 | 34 | |
| 6 | 2016 | 33 | |
| 7 | 2014 | 13 | |
| 8 | 2005 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2009 | 6 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 0 | |
| 16 | Understanding the Healthcare Experiences of LGBTQ+ People: An Adaptation of the Daily Heterosexist Experiences Questionnaire | 2021 | 0 |
About Conor Smith
Conor Smith is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Physiology, having authored 16 papers that have together received 400 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Alzheimer's disease research and treatments (2 papers), Quantum many-body systems (2 papers), Lipid metabolism and biosynthesis (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Receptor Mechanisms and Signaling (2 papers), Quantum Information and Cryptography (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Neurology (106 citations), Biological Psychiatry (25 citations), Behavioral Neuroscience (26 citations), Physiology (133 citations) and Cellular and Molecular Neuroscience (83 citations). Conor Smith has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Mary Jo LaDu, Terrell T. Gibbs, David H. Farb, Leon M. Tai, Steven Estus, Ishita Parikh, Guojun Bu, David W. Fardo, Manasi Malik and G. William Rebeck. Their work appears in journals such as Molecular Pharmacology, Journal of Lipid Research, Physical review. A, Physical Review Letters and Current Topics in Medicinal Chemistry.
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.