Barry J. Grant

6.3k total citations · 2 hit papers
55 papers, 4.3k citations indexed

About

Barry J. Grant is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Barry J. Grant has authored 55 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 16 papers in Cell Biology and 14 papers in Materials Chemistry. Recurrent topics in Barry J. Grant's work include Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (14 papers) and Microtubule and mitosis dynamics (12 papers). Barry J. Grant is often cited by papers focused on Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (14 papers) and Microtubule and mitosis dynamics (12 papers). Barry J. Grant collaborates with scholars based in United States, United Kingdom and Norway. Barry J. Grant's co-authors include J. Andrew McCammon, Leo S. D. Caves, Karim M. ElSawy, Ana P. C. Rodrigues, Xin‐Qiu Yao, Lars Skjærven, Alemayehu A. Gorfe, Guido Scarabelli, Denis Bucher and Xiaolin Cheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Barry J. Grant

54 papers receiving 4.3k citations

Hit Papers

Bio3d: an R package for the comparative analysis of prote... 2006 2026 2012 2019 2006 2020 400 800 1.2k

Peers

Barry J. Grant
Grzegorz Nawrocki United States
Ting Ran China
Xiao Zhu United States
Cyril Dominguez United Kingdom
Anna R. Panchenko United States
Grzegorz Nawrocki United States
Barry J. Grant
Citations per year, relative to Barry J. Grant Barry J. Grant (= 1×) peers Grzegorz Nawrocki

Countries citing papers authored by Barry J. Grant

Since Specialization
Citations

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

Fields of papers citing papers by Barry J. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barry J. Grant. 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 Barry J. Grant. The network helps show where Barry J. Grant may publish in the future.

Co-authorship network of co-authors of Barry J. Grant

This figure shows the co-authorship network connecting the top 25 collaborators of Barry J. Grant. A scholar is included among the top collaborators of Barry J. Grant 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 Barry J. Grant. Barry J. Grant 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.
Atherton, Joseph, Kai Jiang, Shasha Hua, et al.. (2020). Author Correction: A structural model for microtubule minus-end recognition and protection by CAMSAP proteins. Nature Structural & Molecular Biology. 27(6). 603–603. 1 indexed citations
2.
Muretta, Joseph M., Babu J.N. Reddy, Guido Scarabelli, et al.. (2018). A posttranslational modification of the mitotic kinesin Eg5 that enhances its mechanochemical coupling and alters its mitotic function. Proceedings of the National Academy of Sciences. 115(8). E1779–E1788. 25 indexed citations
3.
Atherton, Joseph, Kai Jiang, Shasha Hua, et al.. (2017). A structural model for microtubule minus-end recognition and protection by CAMSAP proteins. Nature Structural & Molecular Biology. 24(11). 931–943. 75 indexed citations
4.
Jariwala, Shashank, Lars Skjærven, Xin‐Qiu Yao, & Barry J. Grant. (2017). Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web. Journal of Visualized Experiments. 2 indexed citations
5.
Yao, Xin‐Qiu, et al.. (2017). Navigating the conformational landscape of G protein–coupled receptor kinases during allosteric activation. Journal of Biological Chemistry. 292(39). 16032–16043. 19 indexed citations
6.
Prakash, Priyanka, Abdallah Sayyed–Ahmad, Kwang-Jin Cho, et al.. (2017). Computational and biochemical characterization of two partially overlapping interfaces and multiple weak-affinity K-Ras dimers. Scientific Reports. 7(1). 40109–40109. 74 indexed citations
7.
Yao, Xin‐Qiu, Rabia U. Malik, Nicholas W. Griggs, et al.. (2016). Dynamic Coupling and Allosteric Networks in the Alpha Subunit of Heterotrimeric G Proteins. Biophysical Journal. 110(3). 427a–427a. 3 indexed citations
8.
Scarabelli, Guido, Virupakshi Soppina, Xin‐Qiu Yao, et al.. (2016). Mapping the Processivity Determinants of the Kinesin-3 Motor Domain. Biophysical Journal. 110(3). 459a–459a. 1 indexed citations
9.
Yao, Xin‐Qiu, Rabia U. Malik, Nicholas W. Griggs, et al.. (2015). Dynamic Coupling and Allosteric Networks in the α Subunit of Heterotrimeric G Proteins. Journal of Biological Chemistry. 291(9). 4742–4753. 61 indexed citations
10.
Yao, Xin‐Qiu, Guido Scarabelli, Lars Skjærven, & Barry J. Grant. (2014). The Bio3D Package: New Interactive Tools for Structural Bioinformatics. Biophysical Journal. 106(2). 406a–406a. 4 indexed citations
11.
Scarabelli, Guido & Barry J. Grant. (2014). Kinesin-5 Allosteric Inhibitors Uncouple the Dynamics of Nucleotide, Microtubule, and Neck-Linker Binding Sites. Biophysical Journal. 107(9). 2204–2213. 47 indexed citations
12.
Ortiz‐Sánchez, Juan Manuel, Sara E. Nichols, Jacqueline Sayyah, et al.. (2012). Identification of Potential Small Molecule Binding Pockets on Rho Family GTPases. PLoS ONE. 7(7). e40809–e40809. 15 indexed citations
13.
Gedeon, Patrick C., et al.. (2012). LeuT Conformational Sampling Utilizing Accelerated Molecular Dynamics and Principal Component Analysis. Biophysical Journal. 103(1). L1–L3. 27 indexed citations
14.
Oliveira, César Augusto F. de, Barry J. Grant, Michelle X. Zhou, & J. Andrew McCammon. (2011). Large-Scale Conformational Changes of Trypanosoma cruzi Proline Racemase Predicted by Accelerated Molecular Dynamics Simulation. PLoS Computational Biology. 7(10). e1002178–e1002178. 31 indexed citations
15.
Grant, Barry J., Robert A. Cross, & J. Andrew McCammon. (2011). Electrostatically Biased Binding of Kinesin to Microtubules. Biophysical Journal. 100(3). 121a–121a. 2 indexed citations
16.
Gallo, Marco, Barry J. Grant, Miguel L. Teodoro, et al.. (2009). Novel procedure for thermal equilibration in molecular dynamics simulation. Molecular Simulation. 35(5). 349–357. 11 indexed citations
17.
Grant, Barry J., et al.. (2007). The 2006 Automated Function Prediction Meeting. BMC Bioinformatics. 8(S4). 8 indexed citations
18.
Cheng, Xiaolin, Hailong Wang, Barry J. Grant, Steven M. Sine, & J. Andrew McCammon. (2006). Targeted Molecular Dynamics Study of C-Loop Closure and Channel Gating in Nicotinic Receptors. PLoS Computational Biology. 2(9). e134–e134. 105 indexed citations
19.
Cheng, Xiaolin, Benzhuo Lu, Barry J. Grant, Richard Law, & J. Andrew McCammon. (2005). Channel Opening Motion of α7 Nicotinic Acetylcholine Receptor as Suggested by Normal Mode Analysis. Journal of Molecular Biology. 355(2). 310–324. 93 indexed citations
20.
Klocke, Robert A., Holger J. Schünemann, & Barry J. Grant. (1995). Distribution of Pulmonary Capillary Transit Times. American Journal of Respiratory and Critical Care Medicine. 152(6). 2014–2020. 9 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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