Tyler A. Smith
Impact in
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
- Biochemistry top 10%
Papers in
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- Ion channel regulation and function 3
- RNA Interference and Gene Delivery 3
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- Nerve injury and regeneration 6
- Co-authors
- Xiaozhen Hu (1 shared paper)Jan Stöhr (1 shared paper)Yurii S. Moroz (1 shared paper)O.V. Moroz (1 shared paper)William F. DeGrado (1 shared paper)Ivan V. Korendovych (1 shared paper)Thomas J. Webster (1 shared paper)George D. Bittner (6 shared papers)
- Journals
- Journal of Neuroinflammation (2 papers)Expert Review of Clinical Pharmacology (2 papers)Nature Chemistry (1 paper)RSC Advances (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Tyler A. Smith
20 papers receiving 1.1k citations
Tyler A. Smith's Hit Papers
Peers
Comparison fields: 5 of 107
- Biomaterials 375
- Biochemistry 52
- Molecular Biology 577
- Cellular and Molecular Neuroscience 136
- Organic Chemistry 127
Countries citing papers authored by Tyler A. Smith
This map shows the geographic impact of Tyler A. 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 Tyler A. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler A. Smith more than expected).
Fields of papers citing papers by Tyler A. Smith
This network shows the impact of papers produced by Tyler A. 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 Tyler A. Smith. The network helps show where Tyler A. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler A. 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 | Short peptides self-assemble to produce catalytic amyloids Hit paper breakdown → | 2014 | 551 |
| 2 | 2016 | 141 | |
| 3 | 2005 | 89 | |
| 4 | 2018 | 39 | |
| 5 | 2016 | 34 | |
| 6 | 2016 | 33 | |
| 7 | 2015 | 28 | |
| 8 | 2015 | 28 | |
| 9 | 2020 | 21 | |
| 10 | 2022 | 21 | |
| 11 | 2014 | 21 | |
| 12 | 2020 | 15 | |
| 13 | 2016 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2010 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 2 |
About Tyler A. Smith
Tyler A. Smith is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Biomaterials and Biomedical Engineering, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Bone Tissue Engineering Materials (3 papers), Ion channel regulation and function (3 papers), RNA Interference and Gene Delivery (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Pediatric Pain Management Techniques (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Nerve Injury and Rehabilitation (2 papers). The work is most often cited by research in Biomaterials (375 citations), Biochemistry (52 citations), Molecular Biology (577 citations), Cellular and Molecular Neuroscience (136 citations) and Organic Chemistry (127 citations). Tyler A. Smith has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Xiaozhen Hu, Jan Stöhr, Yurii S. Moroz, O.V. Moroz, William F. DeGrado, Ivan V. Korendovych, Thomas J. Webster, George D. Bittner, Cameron L. Ghergherehchi and Devendra K. Agrawal. Their work appears in journals such as Journal of Neuroinflammation, Expert Review of Clinical Pharmacology, Nature Chemistry, RSC Advances and Frontiers in Plant Science.
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.