Kyle Trainor
Impact in
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- Protein Structure and Dynamics
- Protein purification and stability
- RNA and protein synthesis mechanisms
- Viral Infectious Diseases and Gene Expression in Insects
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Protein Structure and Dynamics 8
- Protein purification and stability 5
- RNA and protein synthesis mechanisms 2
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- Enzyme Structure and Function 4
- Co-authors
- Elizabeth M. Meiering (9 shared papers)Aron Broom (5 shared papers)Niladri Sarkar (3 shared papers)Raafat R. Mansour (3 shared papers)Johannes Maier (1 shared paper)Tyler Day (1 shared paper)Sachdev S. Sidhu (1 shared paper)Jarrett Adams (1 shared paper)
- Journals
- Current Opinion in Structural Biology (2 papers)Journal of Molecular Biology (2 papers)Structure (1 paper)Protein Science (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Kyle Trainor
14 papers receiving 352 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 248
- Radiology, Nuclear Medicine and Imaging 51
- Biotechnology 17
- Computational Theory and Mathematics 23
- Materials Chemistry 54
Countries citing papers authored by Kyle Trainor
This map shows the geographic impact of Kyle Trainor'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 Kyle Trainor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Trainor more than expected).
Fields of papers citing papers by Kyle Trainor
This network shows the impact of papers produced by Kyle Trainor. 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 Kyle Trainor. The network helps show where Kyle Trainor may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Trainor, 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 | 2017 | 89 | |
| 2 | 2017 | 64 | |
| 3 | 2022 | 42 | |
| 4 | 2020 | 39 | |
| 5 | 2015 | 31 | |
| 6 | 2019 | 28 | |
| 7 | 2004 | 19 | |
| 8 | 2016 | 17 | |
| 9 | 2011 | 14 | |
| 10 | 2016 | 7 | |
| 11 | 2012 | 5 | |
| 12 | 2018 | 1 | |
| 13 | 2012 | 1 | |
| 14 | 2021 | 1 |
About Kyle Trainor
Kyle Trainor is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 358 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Protein purification and stability (5 papers), Enzyme Structure and Function (4 papers), Force Microscopy Techniques and Applications (3 papers), Advanced MEMS and NEMS Technologies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Mechanical and Optical Resonators (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (248 citations), Radiology, Nuclear Medicine and Imaging (51 citations), Biotechnology (17 citations), Computational Theory and Mathematics (23 citations) and Materials Chemistry (54 citations). Kyle Trainor has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Elizabeth M. Meiering, Aron Broom, Niladri Sarkar, Raafat R. Mansour, Johannes Maier, Tyler Day, Sachdev S. Sidhu, Jarrett Adams, Levi L. Blazer and Kannan Sankar. Their work appears in journals such as Current Opinion in Structural Biology, Journal of Molecular Biology, Structure, Protein Science and Journal of Biological 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.