Kate A. Stafford

892 total citations
16 papers, 550 citations indexed

About

Kate A. Stafford is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Kate A. Stafford has authored 16 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Spectroscopy and 4 papers in Materials Chemistry. Recurrent topics in Kate A. Stafford's work include Protein Structure and Dynamics (10 papers), Mass Spectrometry Techniques and Applications (4 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). Kate A. Stafford is often cited by papers focused on Protein Structure and Dynamics (10 papers), Mass Spectrometry Techniques and Applications (4 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). Kate A. Stafford collaborates with scholars based in United States and France. Kate A. Stafford's co-authors include Arthur G. Palmer, Paul Robustelli, Vernon M. Ingram, Peter Weigele, Albert Chen, Barbara J. Blanchard, David E. Shaw, Ron O. Dror, Paul Maragakis and Morten Ø. Jensen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Molecular Biology.

In The Last Decade

Kate A. Stafford

16 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate A. Stafford United States 13 350 120 90 87 62 16 550
Dorina Kosztin United States 8 536 1.5× 92 0.8× 55 0.6× 37 0.4× 138 2.2× 8 693
Jordane Preto Canada 14 246 0.7× 56 0.5× 90 1.0× 31 0.4× 114 1.8× 34 610
Scott LeGrand United States 4 497 1.4× 179 1.5× 15 0.2× 86 1.0× 122 2.0× 5 803
Iksoo Chang South Korea 16 274 0.8× 115 1.0× 212 2.4× 15 0.2× 73 1.2× 32 676
Mark A. Wall United States 6 913 2.6× 141 1.2× 16 0.2× 51 0.6× 37 0.6× 8 1.1k
Subrata Ghosh India 14 164 0.5× 39 0.3× 139 1.5× 27 0.3× 117 1.9× 67 812
Daniele Granata United States 16 849 2.4× 165 1.4× 76 0.8× 79 0.9× 35 0.6× 31 1.0k
Andrea Sottini Switzerland 9 805 2.3× 227 1.9× 31 0.3× 96 1.1× 52 0.8× 14 989
Adel Golovin United Kingdom 8 782 2.2× 292 2.4× 18 0.2× 108 1.2× 50 0.8× 12 995
Tamara Frembgen-Kesner United States 6 503 1.4× 184 1.5× 41 0.5× 61 0.7× 40 0.6× 6 642

Countries citing papers authored by Kate A. Stafford

Since Specialization
Citations

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

Fields of papers citing papers by Kate A. Stafford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate A. Stafford

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

All Works

16 of 16 papers shown
1.
Stafford, Kate A., Brandon Anderson, Jon M. Sorenson, & Henry van den Bedem. (2022). AtomNet PoseRanker: Enriching Ligand Pose Quality for Dynamic Proteins in Virtual High-Throughput Screens. Journal of Chemical Information and Modeling. 62(5). 1178–1189. 31 indexed citations
2.
Stafford, Kate A., et al.. (2016). Thermostability of Enzymes from Molecular Dynamics Simulations. Journal of Chemical Theory and Computation. 12(6). 2489–2492. 43 indexed citations
3.
Stafford, Kate A., Nikola Trbovic, Joel A. Butterwick, et al.. (2014). Conformational Preferences Underlying Reduced Activity of a Thermophilic Ribonuclease H. Journal of Molecular Biology. 427(4). 853–866. 6 indexed citations
4.
Stafford, Kate A., Paul Robustelli, & Arthur G. Palmer. (2013). Thermal Adaptation of Conformational Dynamics in Ribonuclease H. PLoS Computational Biology. 9(10). e1003218–e1003218. 28 indexed citations
5.
Stafford, Kate A., Fabien Ferrage, Jaehyun Cho, & Arthur G. Palmer. (2013). Side Chain Dynamics of Carboxyl and Carbonyl Groups in the Catalytic Function of Escherichia coli Ribonuclease H. Journal of the American Chemical Society. 135(48). 18024–18027. 13 indexed citations
6.
Stafford, Kate A., et al.. (2012). Starting‐structure dependence of nanosecond timescale intersubstate transitions and reproducibility of MD‐derived order parameters. Proteins Structure Function and Bioinformatics. 81(3). 499–509. 25 indexed citations
7.
Robustelli, Paul, Kate A. Stafford, & Arthur G. Palmer. (2012). Interpreting Protein Structural Dynamics from NMR Chemical Shifts. Journal of the American Chemical Society. 134(14). 6365–6374. 99 indexed citations
8.
Eastwood, Michael P., Kate A. Stafford, Ross A. Lippert, et al.. (2010). Equipartition and the Calculation of Temperature in Biomolecular Simulations. Journal of Chemical Theory and Computation. 6(7). 2045–2058. 37 indexed citations
9.
Wriggers, Willy, Kate A. Stafford, Yibing Shan, et al.. (2009). Automated Event Detection and Activity Monitoring in Long Time-Scale Molecular Dynamics. Biophysical Journal. 96(3). 364a–365a. 5 indexed citations
10.
Wriggers, Willy, Kate A. Stafford, Yibing Shan, et al.. (2009). Automated Event Detection and Activity Monitoring in Long Molecular Dynamics Simulations. Journal of Chemical Theory and Computation. 5(10). 2595–2605. 43 indexed citations
11.
Tu, Tiankai, Charles A. Rendleman, David W. Borhani, et al.. (2008). A scalable parallel framework for analyzing terascale molecular dynamics simulation trajectories. IEEE International Conference on High Performance Computing, Data, and Analytics. 56. 36 indexed citations
12.
Stephenson, Brian C., Kate A. Stafford, Kenneth J. Beers, & Daniel Blankschtein. (2008). Application of Computer Simulation Free-Energy Methods to Compute the Free Energy of Micellization as a Function of Micelle Composition. 1. Theory. The Journal of Physical Chemistry B. 112(6). 1634–1640. 18 indexed citations
13.
Tu, Tiankai, Charles A. Rendleman, David W. Borhani, et al.. (2008). A scalable parallel framework for analyzing terascale molecular dynamics simulation trajectories. 1–12. 25 indexed citations
14.
Stephenson, Brian C., Kate A. Stafford, Kenneth J. Beers, & Daniel Blankschtein. (2008). Application of Computer Simulation Free-Energy Methods to Compute the Free Energy of Micellization as a Function of Micelle Composition. 2. Implementation. The Journal of Physical Chemistry B. 112(6). 1641–1656. 12 indexed citations
15.
Stafford, Kate A., et al.. (2007). Stochastic Pairwise Alignments and Scoring Methods for Comparative Protein Structure Modeling. Journal of Chemical Information and Modeling. 47(3). 1263–1270. 6 indexed citations
16.
Blanchard, Barbara J., et al.. (2004). Efficient reversal of Alzheimer's disease fibril formation and elimination of neurotoxicity by a small molecule. Proceedings of the National Academy of Sciences. 101(40). 14326–14332. 123 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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