Jeffrey K. Noel

3.0k total citations
45 papers, 2.0k citations indexed

About

Jeffrey K. Noel is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, Jeffrey K. Noel has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 12 papers in Materials Chemistry and 10 papers in Cell Biology. Recurrent topics in Jeffrey K. Noel's work include Protein Structure and Dynamics (23 papers), RNA and protein synthesis mechanisms (21 papers) and Enzyme Structure and Function (12 papers). Jeffrey K. Noel is often cited by papers focused on Protein Structure and Dynamics (23 papers), RNA and protein synthesis mechanisms (21 papers) and Enzyme Structure and Function (12 papers). Jeffrey K. Noel collaborates with scholars based in United States, Germany and Poland. Jeffrey K. Noel's co-authors include José N. Onuchic, Paul C. Whitford, Joanna I. Sułkowska, Karissa Y. Sanbonmatsu, Ryan L. Hayes, Alexander Schug, Shachi Gosavi, Kevin Y. Sanbonmatsu, Heiko Lammert and Mariana Levi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jeffrey K. Noel

45 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey K. Noel United States 21 1.8k 558 264 215 198 45 2.0k
Nicholas R. Guydosh United States 20 2.0k 1.1× 380 0.7× 472 1.8× 148 0.7× 197 1.0× 30 2.4k
N. Fischer Germany 17 2.3k 1.3× 515 0.9× 102 0.4× 191 0.9× 331 1.7× 19 2.8k
Jeong‐Mo Choi South Korea 20 2.6k 1.4× 281 0.5× 211 0.8× 190 0.9× 143 0.7× 55 3.1k
Nobuyasu Koga Japan 17 2.0k 1.1× 856 1.5× 293 1.1× 216 1.0× 122 0.6× 28 2.5k
Sigrid Milles Germany 28 2.1k 1.1× 396 0.7× 205 0.8× 88 0.4× 133 0.7× 42 2.5k
Anastasia S. Politou Greece 24 1.2k 0.6× 270 0.5× 283 1.1× 324 1.5× 243 1.2× 40 1.7k
Zimei Bu United States 27 1.1k 0.6× 452 0.8× 353 1.3× 244 1.1× 115 0.6× 54 1.7k
Alan Merk United States 16 1.4k 0.8× 356 0.6× 171 0.6× 92 0.4× 86 0.4× 20 2.1k
Timothy D. Craggs United Kingdom 18 2.3k 1.3× 278 0.5× 129 0.5× 73 0.3× 207 1.0× 36 2.7k
Ana Rosa Viguera Spain 22 1.9k 1.1× 938 1.7× 207 0.8× 104 0.5× 146 0.7× 44 2.2k

Countries citing papers authored by Jeffrey K. Noel

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey K. Noel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey K. Noel. 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 Jeffrey K. Noel. The network helps show where Jeffrey K. Noel may publish in the future.

Co-authorship network of co-authors of Jeffrey K. Noel

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey K. Noel. A scholar is included among the top collaborators of Jeffrey K. Noel 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 Jeffrey K. Noel. Jeffrey K. Noel 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.
Melo, Arthur A., Thiemo Sprink, Jeffrey K. Noel, et al.. (2022). Cryo-electron tomography reveals structural insights into the membrane remodeling mode of dynamin-like EHD filaments. Nature Communications. 13(1). 7641–7641. 10 indexed citations
2.
Liu, Jiwei, Diorge P. Souza, Souvik Naskar, et al.. (2021). Bacterial Vipp1 and PspA are members of the ancient ESCRT-III membrane-remodeling superfamily. Cell. 184(14). 3660–3673.e18. 69 indexed citations
3.
Liu, Jiwei, Frances Joan D. Alvarez, Daniel K. Clare, Jeffrey K. Noel, & Peijun Zhang. (2021). CryoEM structure of the super-constricted two-start dynamin 1 filament. Nature Communications. 12(1). 5393–5393. 9 indexed citations
4.
Contessoto, Vinícius G., Ailun Wang, Yang Wang, et al.. (2021). SMOG 2 and OpenSMOG: Extending the limits of structure‐based models. Protein Science. 31(1). 158–172. 15 indexed citations
5.
Danielsson, Jens, Jeffrey K. Noel, Brendan M. Duggan, et al.. (2020). The Pierced Lasso Topology Leptin has a Bolt on Dynamic Domain Composed by the Disordered Loops I and III. Journal of Molecular Biology. 432(9). 3050–3063. 6 indexed citations
6.
Levi, Mariana, et al.. (2020). Precisely Quantifying the Energetics of the Ribosome. Biophysical Journal. 118(3). 181a–181a. 1 indexed citations
7.
Levi, Mariana, Jeffrey K. Noel, & Paul C. Whitford. (2019). Studying ribosome dynamics with simplified models. Methods. 162-163. 128–140. 14 indexed citations
8.
Yang, Huan, Jeffrey K. Noel, & Paul C. Whitford. (2017). Anisotropic Fluctuations in the Ribosome Determine tRNA Kinetics. The Journal of Physical Chemistry B. 121(47). 10593–10601. 18 indexed citations
9.
Noel, Jeffrey K., Mariana Levi, Mohit Raghunathan, et al.. (2016). SMOG 2: A Versatile Software Package for Generating Structure-Based Models. PLoS Computational Biology. 12(3). e1004794–e1004794. 211 indexed citations
10.
Ramírez‐Sarmiento, César A., et al.. (2015). Interdomain Contacts Control Native State Switching of RfaH on a Dual-Funneled Landscape. PLoS Computational Biology. 11(7). e1004379–e1004379. 44 indexed citations
11.
Hayes, Ryan L., Jeffrey K. Noel, Paul C. Whitford, et al.. (2015). Magnesium Dependence of the RNA Free Energy Landscape. Biophysical Journal. 108(2). 235a–235a. 1 indexed citations
12.
Hayes, Ryan L., Jeffrey K. Noel, Paul C. Whitford, et al.. (2014). Reduced Model Captures Mg2+-RNA Interaction Free Energy of Riboswitches. Biophysical Journal. 106(7). 1508–1519. 38 indexed citations
13.
Noel, Jeffrey K., Jorge Chahine, Vitor B. P. Leite, & Paul C. Whitford. (2014). Capturing Transition Paths and Transition States for Conformational Rearrangements in the Ribosome. Biophysical Journal. 107(12). 2881–2890. 38 indexed citations
14.
Sułkowska, Joanna I., Jeffrey K. Noel, & José N. Onuchic. (2014). Knotting a Protein in Explicit Solvent. Biophysical Journal. 106(2). 472a–473a. 3 indexed citations
15.
Noel, Jeffrey K., et al.. (2014). Connecting Thermal and Mechanical Protein (Un)folding Landscapes. Biophysical Journal. 107(12). 2950–2961. 33 indexed citations
16.
Ozenne, Valéry, Jeffrey K. Noel, Pétur O. Heidarsson, et al.. (2013). Exploring the Minimally Frustrated Energy Landscape of Unfolded ACBP. Journal of Molecular Biology. 426(3). 722–734. 16 indexed citations
17.
Sułkowska, Joanna I., Jeffrey K. Noel, & José N. Onuchic. (2012). Energy landscape of knotted protein folding. Proceedings of the National Academy of Sciences. 109(44). 17783–17788. 86 indexed citations
18.
Noel, Jeffrey K., Paul C. Whitford, & José N. Onuchic. (2012). The Shadow Map: A General Contact Definition for Capturing the Dynamics of Biomolecular Folding and Function. The Journal of Physical Chemistry B. 116(29). 8692–8702. 181 indexed citations
19.
Noel, Jeffrey K., et al.. (2010). SMOG@ctbp: simplified deployment of structure-based models in GROMACS. Nucleic Acids Research. 38(suppl_2). W657–W661. 273 indexed citations
20.
Whitford, Paul C., Jeffrey K. Noel, Shachi Gosavi, et al.. (2008). An all‐atom structure‐based potential for proteins: Bridging minimal models with all‐atom empirical forcefields. Proteins Structure Function and Bioinformatics. 75(2). 430–441. 297 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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