Jason A. Wagoner

1.3k total citations · 1 hit paper
12 papers, 882 citations indexed

About

Jason A. Wagoner is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Jason A. Wagoner has authored 12 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Atomic and Molecular Physics, and Optics and 2 papers in Condensed Matter Physics. Recurrent topics in Jason A. Wagoner's work include Protein Structure and Dynamics (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). Jason A. Wagoner is often cited by papers focused on Protein Structure and Dynamics (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). Jason A. Wagoner collaborates with scholars based in United States. Jason A. Wagoner's co-authors include Nathan Baker, Ken A. Dill, Alex S. Holehouse, Melissa D. Stuchell‐Brereton, Gregory R. Bowman, Michael D. Ward, Kathleen B. Hall, Jhullian J. Alston, Jasmine Cubuk and Daniel Griffith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Jason A. Wagoner

12 papers receiving 872 citations

Hit Papers

The SARS-CoV-2 nucleocapsid protein is dynamic, disordere... 2021 2026 2022 2024 2021 100 200 300

Peers

Jason A. Wagoner
Jarek Juraszek Netherlands
Bernard S. Gerstman United States
F. Marty Ytreberg United States
Vladimir Gelev United States
Hin Hark Gan United States
Chuan Li United States
Ellen D. Zhong United States
Pilar Cossio Germany
Erik D. Holmstrom United States
Jarek Juraszek Netherlands
Jason A. Wagoner
Citations per year, relative to Jason A. Wagoner Jason A. Wagoner (= 1×) peers Jarek Juraszek

Countries citing papers authored by Jason A. Wagoner

Since Specialization
Citations

This map shows the geographic impact of Jason A. Wagoner'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 Jason A. Wagoner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason A. Wagoner more than expected).

Fields of papers citing papers by Jason A. Wagoner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason A. Wagoner. 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 Jason A. Wagoner. The network helps show where Jason A. Wagoner may publish in the future.

Co-authorship network of co-authors of Jason A. Wagoner

This figure shows the co-authorship network connecting the top 25 collaborators of Jason A. Wagoner. A scholar is included among the top collaborators of Jason A. Wagoner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason A. Wagoner. Jason A. Wagoner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Cubuk, Jasmine, Jhullian J. Alston, J. Jeremías Incicco, et al.. (2021). The SARS-CoV-2 nucleocapsid protein is dynamic, disordered, and phase separates with RNA. Nature Communications. 12(1). 1936–1936. 365 indexed citations breakdown →
2.
Wagoner, Jason A. & Ken A. Dill. (2021). Evolution of mechanical cooperativity among myosin II motors. Proceedings of the National Academy of Sciences. 118(20). 10 indexed citations
3.
Wagoner, Jason A. & Ken A. Dill. (2019). Mechanisms for achieving high speed and efficiency in biomolecular machines. Proceedings of the National Academy of Sciences. 116(13). 5902–5907. 30 indexed citations
4.
Wagoner, Jason A. & Ken A. Dill. (2019). Opposing Pressures of Speed and Efficiency Guide the Evolution of Molecular Machines. Molecular Biology and Evolution. 36(12). 2813–2822. 16 indexed citations
5.
Wagoner, Jason A. & Ken A. Dill. (2016). Molecular Motors: Power Strokes Outperform Brownian Ratchets. The Journal of Physical Chemistry B. 120(26). 6327–6336. 51 indexed citations
6.
Wagoner, Jason A. & Vijay S. Pande. (2013). Finite domain simulations with adaptive boundaries: Accurate potentials and nonequilibrium movesets. The Journal of Chemical Physics. 139(23). 234114–234114. 10 indexed citations
7.
Wagoner, Jason A. & Vijay S. Pande. (2011). A smoothly decoupled particle interface: New methods for coupling explicit and implicit solvent. The Journal of Chemical Physics. 134(21). 214103–214103. 17 indexed citations
8.
Dong, Feng, Jason A. Wagoner, & Nathan Baker. (2008). Assessing the performance of implicit solvation models at a nucleic acid surface. Physical Chemistry Chemical Physics. 10(32). 4889–4889. 15 indexed citations
9.
Wagoner, Jason A. & Nathan Baker. (2006). Assessing implicit models for nonpolar mean solvation forces: The importance of dispersion and volume terms. Proceedings of the National Academy of Sciences. 103(22). 8331–8336. 248 indexed citations
10.
Swanson, Jessica M. J., Jason A. Wagoner, Nathan Baker, & J. Andrew McCammon. (2006). Optimizing the Poisson Dielectric Boundary with Explicit Solvent Forces and Energies:  Lessons Learned with Atom-Centered Dielectric Functions. Journal of Chemical Theory and Computation. 3(1). 170–183. 38 indexed citations
11.
Wagoner, Jason A. & Nathan Baker. (2004). Solvation forces on biomolecular structures: A comparison of explicit solvent and Poisson–Boltzmann models. Journal of Computational Chemistry. 25(13). 1623–1629. 80 indexed citations

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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