Jonathan C. Fuller

1.9k total citations
9 papers, 633 citations indexed

About

Jonathan C. Fuller is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Jonathan C. Fuller has authored 9 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Materials Chemistry. Recurrent topics in Jonathan C. Fuller's work include Protein Structure and Dynamics (5 papers), Chemical Synthesis and Analysis (2 papers) and Computational Drug Discovery Methods (2 papers). Jonathan C. Fuller is often cited by papers focused on Protein Structure and Dynamics (5 papers), Chemical Synthesis and Analysis (2 papers) and Computational Drug Discovery Methods (2 papers). Jonathan C. Fuller collaborates with scholars based in Germany, United Kingdom and United States. Jonathan C. Fuller's co-authors include Rebecca C. Wade, Richard M. Jackson, Antonia Stank, Daria B. Kokh, Nicholas J. Burgoyne, Michael R. Shirts, Andrew J. Wilson, Stefan Richter, Thomas A. Edwards and Aidan Budd and has published in prestigious journals such as Nucleic Acids Research, Accounts of Chemical Research and Bioinformatics.

In The Last Decade

Jonathan C. Fuller

9 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan C. Fuller Germany 7 475 197 105 87 54 9 633
Maria I. Zavodszky United States 14 522 1.1× 214 1.1× 141 1.3× 72 0.8× 61 1.1× 26 760
Xianjin Xu United States 14 478 1.0× 221 1.1× 80 0.8× 73 0.8× 34 0.6× 37 645
Raphaël Bourgeas France 10 507 1.1× 226 1.1× 124 1.2× 76 0.9× 56 1.0× 11 646
Oranit Dror Israel 10 531 1.1× 225 1.1× 142 1.4× 92 1.1× 34 0.6× 11 714
Jean‐Yves Trosset United States 15 589 1.2× 269 1.4× 104 1.0× 93 1.1× 72 1.3× 24 803
Hayarpi Torosyan United States 9 350 0.7× 215 1.1× 64 0.6× 104 1.2× 40 0.7× 11 576
Stefan Gahbauer United States 7 425 0.9× 190 1.0× 50 0.5× 64 0.7× 41 0.8× 10 591
Kalaimathy Singaravelu Finland 8 288 0.6× 153 0.8× 52 0.5× 75 0.9× 28 0.5× 17 527
Hugo Guterres United States 10 433 0.9× 159 0.8× 92 0.9× 48 0.6× 21 0.4× 14 571
Jilong Zhang China 15 371 0.8× 127 0.6× 115 1.1× 73 0.8× 25 0.5× 93 733

Countries citing papers authored by Jonathan C. Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan C. Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Fuller. 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 Jonathan C. Fuller. The network helps show where Jonathan C. Fuller may publish in the future.

Co-authorship network of co-authors of Jonathan C. Fuller

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

All Works

9 of 9 papers shown
1.
Stank, Antonia, Daria B. Kokh, Jonathan C. Fuller, & Rebecca C. Wade. (2016). Protein Binding Pocket Dynamics. Accounts of Chemical Research. 49(5). 809–815. 330 indexed citations
2.
Budd, Aidan, Manuel Corpas, Michelle D. Brazas, et al.. (2015). A Quick Guide for Building a Successful Bioinformatics Community. PLoS Computational Biology. 11(2). e1003972–e1003972. 13 indexed citations
3.
Yu, Xiaofeng, Annika L. Gable, Jonathan C. Fuller, et al.. (2015). webSDA: a web server to simulate macromolecular diffusional association. Nucleic Acids Research. 43(W1). W220–W224. 8 indexed citations
4.
5.
Fuller, Jonathan C., Michael D. Martinez, Stefan Henrich, et al.. (2014). LigDig: a web server for querying ligand–protein interactions. Bioinformatics. 31(7). 1147–1149. 11 indexed citations
6.
Fuller, Jonathan C., Pierre Khoueiry, Holger Dinkel, et al.. (2013). Biggest challenges in bioinformatics. EMBO Reports. 14(4). 302–304. 7 indexed citations
7.
Fuller, Jonathan C., Richard M. Jackson, Thomas A. Edwards, Andrew J. Wilson, & Michael R. Shirts. (2012). Modeling of Arylamide Helix Mimetics in the p53 Peptide Binding Site of hDM2 Suggests Parallel and Anti-Parallel Conformations Are Both Stable. PLoS ONE. 7(8). e43253–e43253. 16 indexed citations
8.
Fuller, Jonathan C., Richard M. Jackson, & Michael R. Shirts. (2012). Configurational Preferences of Arylamide α-Helix Mimetics via Alchemical Free Energy Calculations of Relative Binding Affinities. The Journal of Physical Chemistry B. 116(35). 10856–10869. 4 indexed citations
9.
Fuller, Jonathan C., Nicholas J. Burgoyne, & Richard M. Jackson. (2008). Predicting druggable binding sites at the protein–protein interface. Drug Discovery Today. 14(3-4). 155–161. 241 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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