Ryan A. Mehl

6.6k total citations
113 papers, 5.3k citations indexed

About

Ryan A. Mehl is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ryan A. Mehl has authored 113 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 32 papers in Organic Chemistry and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ryan A. Mehl's work include RNA and protein synthesis mechanisms (41 papers), Click Chemistry and Applications (24 papers) and Chemical Synthesis and Analysis (20 papers). Ryan A. Mehl is often cited by papers focused on RNA and protein synthesis mechanisms (41 papers), Click Chemistry and Applications (24 papers) and Chemical Synthesis and Analysis (20 papers). Ryan A. Mehl collaborates with scholars based in United States, United Kingdom and Argentina. Ryan A. Mehl's co-authors include Jared T. Hammill, Jason W. Chin, Richard B. Cooley, Tadhg P. Begley, Shigeki J. Miyake‐Stoner, Jennifer L. Hazen, Jennifer C. Peeler, Saadyah Averick, Krzysztof Matyjaszewski and Stephen Wallace and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ryan A. Mehl

108 papers receiving 5.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan A. Mehl United States 41 3.8k 1.7k 713 525 452 113 5.3k
Michael D. Best United States 29 2.4k 0.6× 1.5k 0.9× 398 0.6× 497 0.9× 154 0.3× 100 4.0k
Nediljko Budiša Germany 46 5.9k 1.5× 1.8k 1.1× 555 0.8× 780 1.5× 873 1.9× 220 7.3k
Eric J. Toone United States 38 4.4k 1.1× 2.6k 1.5× 591 0.8× 578 1.1× 204 0.5× 114 6.7k
Hiroyuki Kagechika Japan 49 5.1k 1.3× 2.1k 1.2× 583 0.8× 717 1.4× 1.3k 2.9× 322 9.6k
Peng R. Chen China 52 6.0k 1.6× 3.3k 2.0× 963 1.4× 876 1.7× 577 1.3× 159 8.2k
Dieter H. Klaubert United States 28 3.5k 0.9× 1.1k 0.7× 372 0.5× 518 1.0× 244 0.5× 59 5.2k
Mark Nitz Canada 38 2.8k 0.7× 1.1k 0.6× 338 0.5× 786 1.5× 149 0.3× 131 4.5k
Knud J. Jensen Denmark 39 3.8k 1.0× 2.2k 1.3× 488 0.7× 255 0.5× 118 0.3× 199 5.6k
Beate Koksch Germany 39 3.9k 1.0× 2.4k 1.4× 393 0.6× 664 1.3× 148 0.3× 178 6.2k

Countries citing papers authored by Ryan A. Mehl

Since Specialization
Citations

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

Fields of papers citing papers by Ryan A. Mehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan A. Mehl

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan A. Mehl. A scholar is included among the top collaborators of Ryan A. Mehl 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 A. Mehl. Ryan A. Mehl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zheng, Yunan, Anamika Singh, Violeta L. Marin, et al.. (2025). In-Cell Approach to Evaluate E3 Ligases for Use in Targeted Protein Degradation. Journal of the American Chemical Society. 147(25). 21560–21574. 2 indexed citations
2.
Mehl, Ryan A., et al.. (2024). Fluorescence labeling strategies for cell surface expression of TRPV1. The Journal of General Physiology. 156(10). 5 indexed citations
3.
Chadda, Rahul, Jaigeeth Deveryshetty, Alex S. Holehouse, et al.. (2024). Partial wrapping of single-stranded DNA by replication protein A and modulation through phosphorylation. Nucleic Acids Research. 52(19). 11626–11640. 2 indexed citations
4.
Khuu, Patricia, Patrick N. Reardon, Juan M. Vanegas, et al.. (2023). The Dysferlin C2A Domain Binds PI(4,5)P2 and Penetrates Membranes. Journal of Molecular Biology. 435(17). 168193–168193. 7 indexed citations
5.
Taylor, Christopher J., Florence J. Hardy, Ashleigh J. Burke, et al.. (2023). Engineering mutually orthogonal PylRS/tRNA pairs for dual encoding of functional histidine analogues. Protein Science. 32(5). e4640–e4640. 10 indexed citations
6.
Jana, Subhashis, Kyle Meyer, John J. Perona, et al.. (2023). Truncation-Free Genetic Code Expansion with Tetrazine Amino Acids for Quantitative Protein Ligations. Bioconjugate Chemistry. 34(12). 2243–2254. 11 indexed citations
7.
Karplus, P. Andrew, et al.. (2023). Site-specific dual encoding and labeling of proteins via genetic code expansion. Cell chemical biology. 30(4). 343–361. 25 indexed citations
8.
9.
Mehl, Ryan A., et al.. (2022). Peroxynitrite nitration of Tyr 56 in Hsp90 induces PC12 cell death through P2X7R-dependent PTEN activation. Redox Biology. 50. 102247–102247. 22 indexed citations
10.
Jana, Subhashis, et al.. (2022). Nanobody assemblies with fully flexible topology enabled by genetically encoded tetrazine amino acids. Science Advances. 8(18). eabm6909–eabm6909. 15 indexed citations
11.
Mehl, Ryan A., et al.. (2021). Faster Surface Ligation Reactions Improve Immobilized Enzyme Structure and Activity. Journal of the American Chemical Society. 143(18). 7154–7163. 40 indexed citations
12.
Jones, Chloe M., Robert J. Blizzard, Mika Munari, et al.. (2021). Genetic encoding of a highly photostable, long lifetime fluorescent amino acid for imaging in mammalian cells. Chemical Science. 12(36). 11955–11964. 37 indexed citations
13.
Jana, Subhashis, et al.. (2021). Genetic Incorporation of Two Mutually Orthogonal Bioorthogonal Amino Acids That Enable Efficient Protein Dual-Labeling in Cells. ACS Chemical Biology. 16(11). 2612–2622. 33 indexed citations
14.
Oscar, Breland G., Liangdong Zhu, Alvin Chang, et al.. (2020). Dissecting Optical Response and Molecular Structure of Fluorescent Proteins With Non-canonical Chromophores. Frontiers in Molecular Biosciences. 7. 131–131. 13 indexed citations
15.
Golbek, Thaddeus W., K.M. Kean, Subhashis Jana, et al.. (2019). Immobilization of Proteins with Controlled Load and Orientation. ACS Applied Materials & Interfaces. 11(40). 36391–36398. 41 indexed citations
16.
Mehl, Ryan A., et al.. (2019). Engineering Spatial Orthogonality into Protein Translation. Biochemistry. 58(31). 3325–3327. 1 indexed citations
17.
Porter, Joseph J. & Ryan A. Mehl. (2018). Genetic Code Expansion: A Powerful Tool for Understanding the Physiological Consequences of Oxidative Stress Protein Modifications. Oxidative Medicine and Cellular Longevity. 2018(1). 7607463–7607463. 15 indexed citations
18.
Gu, Xiaodong, Zhiping Wu, Ying Huang, et al.. (2016). A Systematic Investigation of Structure/Function Requirements for the Apolipoprotein A-I/Lecithin Cholesterol Acyltransferase Interaction Loop of High-density Lipoprotein. Journal of Biological Chemistry. 291(12). 6386–6395. 17 indexed citations
19.
Libby, R. Daniel & Ryan A. Mehl. (2011). Characterization of covalent Ene adduct intermediates in “hydride equivalent” transfers in a dihydropyridine model for NADH reduction reactions. Bioorganic Chemistry. 40(1). 57–66. 14 indexed citations
20.
Stokes, Audrey L., Shigeki J. Miyake‐Stoner, Jennifer C. Peeler, et al.. (2009). Enhancing the utility of unnatural amino acid synthetases by manipulating broad substrate specificity. Molecular BioSystems. 5(9). 1032–1038. 46 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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