Aaron T. Frank

1.2k total citations
36 papers, 838 citations indexed

About

Aaron T. Frank is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Aaron T. Frank has authored 36 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 6 papers in Spectroscopy and 6 papers in Materials Chemistry. Recurrent topics in Aaron T. Frank's work include RNA and protein synthesis mechanisms (23 papers), Protein Structure and Dynamics (16 papers) and RNA modifications and cancer (8 papers). Aaron T. Frank is often cited by papers focused on RNA and protein synthesis mechanisms (23 papers), Protein Structure and Dynamics (16 papers) and RNA modifications and cancer (8 papers). Aaron T. Frank collaborates with scholars based in United States, United Kingdom and Portugal. Aaron T. Frank's co-authors include Ioan Andricioaei, Hashim M. Al‐Hashimi, Andrew C. Stelzer, Charles L. Brooks, David M. Markovitz, Jang Hyun Lee, Marta J. Gonzalez-Hernandez, Jeremy D. Kratz, Michael D. Swanson and Sean M. Law and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Aaron T. Frank

35 papers receiving 827 citations

Peers

Aaron T. Frank

SPECT

CTM

Jianyin Shao United States

Joseph D. Yesselman United States

Simon Rüdisser Switzerland

Neeti Sinha United States

Markus Schade Germany

Shawn Witham United States

InSuk Joung South Korea

S. Roy Kimura United States

Kerry M. Swift United States

Martin Nervall Sweden

Jianyin Shao United States

Aaron T. Frank

539 ×0.8

133 ×1.0

69 ×0.6

SPECT

96 ×1.2

CTM

62 ×1.0

Citations per year, relative to Aaron T. Frank Aaron T. Frank (= 1×) peers Jianyin Shao

Countries citing papers authored by Aaron T. Frank

Since Specialization

Citations

This map shows the geographic impact of Aaron T. Frank'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 Aaron T. Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron T. Frank more than expected).

Fields of papers citing papers by Aaron T. Frank

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron T. Frank. 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 Aaron T. Frank. The network helps show where Aaron T. Frank may publish in the future.

Co-authorship network of co-authors of Aaron T. Frank

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

All Works

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20 of 20 papers shown

Meganck, Rita M., Atul Rangadurai, Bo Zhao, et al.. (2025). Lifetime of ground conformational state determines the activity of structured RNA. Nature Chemical Biology. 21(7). 1021–1029. 1 indexed citations

Eyler, Daniel E., Pooja Srinivas, C.M. Dunham, et al.. (2024). N1-Methylpseudouridine and pseudouridine modifications modulate mRNA decoding during translation. Nature Communications. 15(1). 8119–8119. 21 indexed citations

Wray, Alisa, et al.. (2024). (O-F7) Augmented Reality for Empathy Training: Stepping into the Patient’s Shoes. Western Journal of Emergency Medicine. 25(1.1).

Chauvier, Adrien, et al.. (2023). Structural basis for control of bacterial RNA polymerase pausing by a riboswitch and its ligand. Nature Structural & Molecular Biology. 30(7). 902–913. 19 indexed citations

Fedorova, Olga, et al.. (2023). In Silico Discovery of Group II Intron RNA Splicing Inhibitors. ACS Chemical Biology. 18(9). 1968–1975. 3 indexed citations

Frank, Aaron T., et al.. (2021). Quantum Mechanics Helps Uncover Atypical Recognition Features in the Flavin Mononucleotide Riboswitch. The Journal of Physical Chemistry B. 125(30). 8342–8350. 5 indexed citations

Xie, Jingru, Kexin Zhang, & Aaron T. Frank. (2020). PyShifts: A PyMOL Plugin for Chemical Shift-Based Analysis of Biomolecular Ensembles. Journal of Chemical Information and Modeling. 60(3). 1073–1078. 5 indexed citations

Zhang, Kexin & Aaron T. Frank. (2019). Conditional Prediction of Ribonucleic Acid Secondary Structure Using Chemical Shifts. The Journal of Physical Chemistry B. 124(3). 470–478. 2 indexed citations

Zhang, Kexin & Aaron T. Frank. (2018). RNA Secondary Structure Prediction Guided by Chemical Shifts. Biophysical Journal. 114(3). 678a–678a. 1 indexed citations

10.

Wei, Shuai, Charles L. Brooks, & Aaron T. Frank. (2017). A rapid solvent accessible surface area estimator for coarse grained molecular simulations. Journal of Computational Chemistry. 38(15). 1270–1274. 20 indexed citations

11.

Frank, Aaron T. & Ioan Andricioaei. (2016). Reaction Coordinate-Free Approach to Recovering Kinetics from Potential-Scaled Simulations: Application of Kramers’ Rate Theory. The Journal of Physical Chemistry B. 120(33). 8600–8605. 21 indexed citations

12.

Frank, Aaron T., Qi Zhang, Hashim M. Al‐Hashimi, & Ioan Andricioaei. (2015). Slowdown of Interhelical Motions Induces a Glass Transition in RNA. Biophysical Journal. 108(12). 2876–2885. 7 indexed citations

13.

Frank, Aaron T., Sung-Hun Bae, & Andrew C. Stelzer. (2013). Prediction of RNA ¹H and ¹³C Chemical Shifts: A Structure Based Approach. The Journal of Physical Chemistry B. 117(43). 13497–13506. 23 indexed citations

14.

Stelzer, Andrew C., Aaron T. Frank, Jeremy D. Kratz, et al.. (2011). Discovery of selective bioactive small molecules by targeting an RNA dynamic ensemble. Nature Chemical Biology. 7(8). 553–559. 223 indexed citations

15.

Frank, Aaron T. & Ioan Andricioaei. (2010). A Comparative Study on the Ability of Two Implicit Solvent Lipid Models to Predict Transmembrane Helix Tilt Angles. The Journal of Membrane Biology. 239(1-2). 57–62. 1 indexed citations

16.

Stelzer, Andrew C., et al.. (2009). Constructing atomic-resolution RNA structural ensembles using MD and motionally decoupled NMR RDCs. Methods. 49(2). 167–173. 20 indexed citations

17.

Frank, Aaron T., Andrew C. Stelzer, Hashim M. Al‐Hashimi, & Ioan Andricioaei. (2009). Constructing RNA dynamical ensembles by combining MD and motionally decoupled NMR RDCs: new insights into RNA dynamics and adaptive ligand recognition. Nucleic Acids Research. 37(11). 3670–3679. 97 indexed citations

18.

Frank, Aaron T., Orrette R. Wauchope, Chan Wang, et al.. (2007). Natural macrocyclic molecules have a possible limited structural diversity. Molecular Diversity. 11(3-4). 115–118. 23 indexed citations

19.

Frank, Aaron T., et al.. (2006). Paradigms and paradoxes: Energetics of the oxidative cleavage of indigo and of other olefins. Structural Chemistry. 18(1). 71–74. 6 indexed citations

20.

Gandra, Naveen, Aaron T. Frank, David Aebisher, et al.. (2006). Possible singlet oxygen generation from the photolysis of indigo dyes in methanol, DMSO, water, and ionic liquid, 1-butyl-3-methylimidazolium tetrafluoroborate. Tetrahedron. 62(46). 10771–10776. 67 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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