Katelyn Smith
Impact in
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- Sports Performance and Training
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- Exercise and Physiological Responses
Papers in
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- Protein purification and stability 3
- Protein Hydrolysis and Bioactive Peptides 2
- Protein Structure and Dynamics 2
- Muscle Physiology and Disorders 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Mark A. Tarnopolsky (2 shared papers)Bolesław Lach (1 shared paper)Yu Tian (1 shared paper)Aurelio J. Dregni (1 shared paper)Martin D. Gelenter (1 shared paper)Darrin J. Pochan (1 shared paper)Jingtao Zhang (1 shared paper)Venkata S. Mandala (1 shared paper)
- Journals
- Molecular Pharmaceutics (4 papers)Muscle & Nerve (1 paper)Pharmaceutical Research (1 paper)Journal of Pharmaceutical Sciences (1 paper)American Journal of Medical Genetics Part C Seminars in Medical Genetics (1 paper)
- Partner nations
- United StatesCanadaMexico
In The Last Decade
Katelyn Smith
9 papers receiving 327 citations
Peers
Comparison fields: 5 of 64
- Orthopedics and Sports Medicine 35
- Rehabilitation 27
- Cell Biology 51
- Physiology 80
- Molecular Biology 201
Countries citing papers authored by Katelyn Smith
This map shows the geographic impact of Katelyn 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 Katelyn Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katelyn Smith more than expected).
Fields of papers citing papers by Katelyn Smith
This network shows the impact of papers produced by Katelyn 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 Katelyn Smith. The network helps show where Katelyn Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Katelyn 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 | 2011 | 177 | |
| 2 | 2019 | 68 | |
| 3 | 2021 | 31 | |
| 4 | 2019 | 22 | |
| 5 | 2021 | 18 | |
| 6 | 2012 | 8 | |
| 7 | 2023 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2020 | 0 |
About Katelyn Smith
Katelyn Smith is a scholar working on Molecular Biology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Surgery, having authored 12 papers that have together received 329 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Protein purification and stability (3 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protein Structure and Dynamics (2 papers), Muscle Physiology and Disorders (2 papers), Pancreatic function and diabetes (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (35 citations), Rehabilitation (27 citations), Cell Biology (51 citations), Physiology (80 citations) and Molecular Biology (201 citations). Katelyn Smith has collaborated with scholars based in United States, Canada and Mexico. Frequent co-authors include Mark A. Tarnopolsky, Bolesław Lach, Yu Tian, Aurelio J. Dregni, Martin D. Gelenter, Darrin J. Pochan, Jingtao Zhang, Venkata S. Mandala, Mei Hong and Matthew S. Lamm. Their work appears in journals such as Molecular Pharmaceutics, Muscle & Nerve, Pharmaceutical Research, Journal of Pharmaceutical Sciences and American Journal of Medical Genetics Part C Seminars in Medical Genetics.
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.