Tyler Reddy
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
Papers in
-
- Scientific Computing and Data Management 4
- Virology 2
- Co-authors
- Jonathan BarnoudRichard GowersOliver BecksteinManuel N. MeloSébastien BuchouxDavid DotsonIan M. KenneyMax Linke
- Journals
- Biophysical Journal (4 papers)The Journal of Physical Chemistry B (3 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (3 papers)Structure (2 papers)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Tyler Reddy
25 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 144
- Virology 37
- Cell Biology 123
- Spectroscopy 104
Countries citing papers authored by Tyler Reddy
This map shows the geographic impact of Tyler Reddy'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 Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Reddy more than expected).
Fields of papers citing papers by Tyler Reddy
This network shows the impact of papers produced by Tyler Reddy. 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 Reddy. The network helps show where Tyler Reddy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tyler Reddy, 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 | 2023 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 12 | |
| 6 | 2020 | 8 | |
| 7 | 2019 | 1 | |
| 8 | 2018 | 44 | |
| 9 | 2017 | 63 | |
| 10 | MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations Hit paper breakdown → | 2016 | 1133 |
| 11 | 2016 | 41 | |
| 12 | 2016 | 73 | |
| 13 | 2015 | 78 | |
| 14 | 2014 | 2 | |
| 15 | 2014 | 19 | |
| 16 | 2013 | 34 | |
| 17 | 2011 | 1 | |
| 18 | 2010 | 11 | |
| 19 | 2009 | 10 | |
| 20 | 2008 | 34 |
About Tyler Reddy
Tyler Reddy is a scholar working on Information Systems and Management, Virology, Hardware and Architecture, Molecular Biology and Modeling and Simulation, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Protein Structure and Dynamics (6 papers), Scientific Computing and Data Management (4 papers), RNA Interference and Gene Delivery (3 papers), RNA and protein synthesis mechanisms (3 papers), Bacteriophages and microbial interactions (2 papers), Fibroblast Growth Factor Research (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (144 citations), Virology (37 citations), Cell Biology (123 citations) and Spectroscopy (104 citations). Tyler Reddy has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Jonathan Barnoud, Richard Gowers, Oliver Beckstein, Manuel N. Melo, Sébastien Buchoux, David Dotson, Ian M. Kenney, Max Linke, Sean L. Seyler and Jan Domański. Their work appears in journals such as Biophysical Journal, The Journal of Physical Chemistry B, Biochimica et Biophysica Acta (BBA) - Biomembranes, Structure and Scientific Reports.
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.