Kyle Trainor

490 citations
14 papers · 341 · h-index 9

Impact in

    • Protein Structure and Dynamics
    • Protein purification and stability
    • RNA and protein synthesis mechanisms
    • Microbial Metabolic Engineering and Bioproduction
    • Viral Infectious Diseases and Gene Expression in Insects
    • Monoclonal and Polyclonal Antibodies Research

Papers in

Kyle Trainor

14 papers receiving 336 citations

Peers

Kyle Trainor
Comparison fields: 5 of 79
  • Molecular Biology 251
  • Radiology, Nuclear Medicine and Imaging 50
  • Biotechnology 17
  • Computational Theory and Mathematics 26
  • Materials Chemistry 57
Replace Samer Halabiya with:
Samer Halabiya United States
Aleksander Kuriata Poland
Elizabeth M. Meiering Canada
Eva Smorodina Norway
Jordi C. J. Hintzen Denmark
Kelly K. Arthur United States
Meine Ramakers Belgium
Jingzhou Hao United States
Weiren Cui China
Julia K. Varga Israel
Kyle Trainor relative to Samer Halabiya United States Samer Halabiya's profile →
Citations per field
00.5×5.8×
Samer Halabiya · 1×
Citations per year

Countries citing papers authored by Kyle Trainor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kyle Trainor Line = papers co-authored together Kyle Trainor links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201788
2 201759
3 202037
4 202236
5 201530
6 201926
7 200419
8 201617
9 201114
10 20167
11 20125
12 20211
13 20181
14 20121

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 341 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), RNA and protein synthesis mechanisms (2 papers), Mechanical and Optical Resonators (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Molecular Biology (251 citations), Radiology, Nuclear Medicine and Imaging (50 citations), Biotechnology (17 citations), Computational Theory and Mathematics (26 citations) and Materials Chemistry (57 citations). Kyle Trainor has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Aron Broom, Elizabeth M. Meiering, Elizabeth M. Meiering, Raafat R. Mansour, Niladri Sarkar, Tyler Day, Kannan Sankar, Levi L. Blazer, Jarrett Adams and Sachdev S. Sidhu. Their work appears in journals such as Journal of Molecular Biology, Current Opinion in Structural Biology, Molecular Informatics, Journal of Biological Chemistry and Structure.

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.

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