Ryan M. Plocinik

676 total citations
12 papers, 492 citations indexed

About

Ryan M. Plocinik is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry. According to data from OpenAlex, Ryan M. Plocinik has authored 12 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Atomic and Molecular Physics, and Optics and 3 papers in Physical and Theoretical Chemistry. Recurrent topics in Ryan M. Plocinik's work include Spectroscopy and Quantum Chemical Studies (6 papers), RNA Research and Splicing (4 papers) and Protein Structure and Dynamics (3 papers). Ryan M. Plocinik is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (6 papers), RNA Research and Splicing (4 papers) and Protein Structure and Dynamics (3 papers). Ryan M. Plocinik collaborates with scholars based in United States. Ryan M. Plocinik's co-authors include Garth J. Simpson, Joseph A. Adams, Xiang‐Dong Fu, Hairi Li, Zhihong Zhou, Yu Zhou, Wen Liu, Qidong Hu, Jinsong Qiu and Michael G. Rosenfeld and has published in prestigious journals such as Journal of the American Chemical Society, Molecular Cell and Chemistry of Materials.

In The Last Decade

Ryan M. Plocinik

12 papers receiving 490 citations

Peers

Ryan M. Plocinik
Ryan M. Plocinik
Citations per year, relative to Ryan M. Plocinik Ryan M. Plocinik (= 1×) peers Hiroaki Honda

Countries citing papers authored by Ryan M. Plocinik

Since Specialization
Citations

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

Fields of papers citing papers by Ryan M. Plocinik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan M. Plocinik. 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 Ryan M. Plocinik. The network helps show where Ryan M. Plocinik may publish in the future.

Co-authorship network of co-authors of Ryan M. Plocinik

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan M. Plocinik. A scholar is included among the top collaborators of Ryan M. Plocinik 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 Ryan M. Plocinik. Ryan M. Plocinik 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.
Aubol, Brandon E., Ryan M. Plocinik, Malik M. Keshwani, et al.. (2014). N-terminus of the protein kinase CLK1 induces SR protein hyperphosphorylation. Biochemical Journal. 462(1). 143–152. 32 indexed citations
2.
Aubol, Brandon E., Ryan M. Plocinik, Jonathan C. Hagopian, et al.. (2013). Partitioning RS Domain Phosphorylation in an SR Protein through the CLK and SRPK Protein Kinases. Journal of Molecular Biology. 425(16). 2894–2909. 69 indexed citations
3.
Zhou, Zhihong, Jinsong Qiu, Wen Liu, et al.. (2012). The Akt-SRPK-SR Axis Constitutes a Major Pathway in Transducing EGF Signaling to Regulate Alternative Splicing in the Nucleus. Molecular Cell. 47(3). 422–433. 203 indexed citations
4.
Aubol, Brandon E., Ryan M. Plocinik, Maria L. McGlone, & Joseph A. Adams. (2012). Nucleotide Release Sequences in the Protein Kinase SRPK1 Accelerate Substrate Phosphorylation. Biochemistry. 51(33). 6584–6594. 15 indexed citations
5.
Plocinik, Ryan M., Sheng Li, Tong Liu, et al.. (2011). Regulating SR Protein Phosphorylation through Regions Outside the Kinase Domain of SRPK1. Journal of Molecular Biology. 410(1). 131–145. 19 indexed citations
6.
Halter, Michael, Yi Liao, Ryan M. Plocinik, et al.. (2008). Molecular Self-Assembly of Mixed High-Beta Zwitterionic and Neutral Ground-State NLO Chromophores. Chemistry of Materials. 20(5). 1778–1787. 30 indexed citations
7.
Everly, R. Michael, et al.. (2007). Discrete retardance second harmonic generation ellipsometry. Review of Scientific Instruments. 78(1). 13106–13106. 9 indexed citations
8.
Plocinik, Ryan M., R. Michael Everly, Andrew J. Moad, & Garth J. Simpson. (2005). Modular ellipsometric approach for mining structural information from nonlinear optical polarization analysis. Physical Review B. 72(12). 24 indexed citations
9.
Polizzi, Mark A., Ryan M. Plocinik, & Garth J. Simpson. (2004). Ellipsometric Approach for the Real-Time Detection of Label-Free Protein Adsorption by Second Harmonic Generation. Journal of the American Chemical Society. 126(15). 5001–5007. 31 indexed citations
10.
Simpson, Garth J. & Ryan M. Plocinik. (2004). Exploiting polarization in nonlinear optical surface spectroscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5510. 97–97. 1 indexed citations
11.
Simpson, Garth J., Christopher A. Dailey, Ryan M. Plocinik, et al.. (2004). Direct Determination of Effective Interfacial Optical Constants by Nonlinear Optical Null Ellipsometry of Chiral Films. Analytical Chemistry. 77(1). 215–224. 33 indexed citations
12.
Plocinik, Ryan M. & Garth J. Simpson. (2003). Polarization characterization in surface second harmonic generation by nonlinear optical null ellipsometry. Analytica Chimica Acta. 496(1-2). 133–142. 26 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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