George Jones

1.0k total citations
32 papers, 661 citations indexed

About

George Jones is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, George Jones has authored 32 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in George Jones's work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers) and Ion channel regulation and function (4 papers). George Jones is often cited by papers focused on Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers) and Ion channel regulation and function (4 papers). George Jones collaborates with scholars based in United States, Russia and Japan. George Jones's co-authors include I M Roitt, Vincent Castranova, Philip A. Knauf, Dima Kozakov, P. R. Miles, G Torrigiani, Knox Van Dyke, V. Castranova, Sándor Vajda and Andrey Alekseenko and has published in prestigious journals such as Nature, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

George Jones

31 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Jones United States 17 340 235 108 79 55 32 661
T Tsumita Japan 17 441 1.3× 210 0.9× 95 0.9× 87 1.1× 67 1.2× 56 815
Ralf Klingenstein Germany 11 371 1.1× 220 0.9× 154 1.4× 52 0.7× 17 0.3× 22 754
Mark E. Lesch United States 12 200 0.6× 124 0.5× 39 0.4× 63 0.8× 28 0.5× 17 544
Caroline Graham United States 17 490 1.4× 174 0.7× 90 0.8× 48 0.6× 21 0.4× 24 868
Lorelie Villarete United States 10 204 0.6× 167 0.7× 92 0.9× 48 0.6× 12 0.2× 13 540
Martha E. Cox Canada 8 281 0.8× 205 0.9× 157 1.5× 18 0.2× 33 0.6× 10 600
Stanley L. Gaul United States 16 239 0.7× 74 0.3× 44 0.4× 35 0.4× 70 1.3× 24 871
I. Florentin France 13 177 0.5× 245 1.0× 54 0.5× 45 0.6× 49 0.9× 63 699
Jay J. Listinsky United States 12 226 0.7× 72 0.3× 46 0.4× 154 1.9× 25 0.5× 23 501
David Krause United States 8 368 1.1× 173 0.7× 67 0.6× 30 0.4× 15 0.3× 11 1.0k

Countries citing papers authored by George Jones

Since Specialization
Citations

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

Fields of papers citing papers by George Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George Jones. 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 George Jones. The network helps show where George Jones may publish in the future.

Co-authorship network of co-authors of George Jones

This figure shows the co-authorship network connecting the top 25 collaborators of George Jones. A scholar is included among the top collaborators of George Jones 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 George Jones. George Jones 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.
Jones, George, et al.. (2025). E-FTMap: A Protein Structure Based Pharmacophore Identification Server for Guiding Fragment Expansion. Journal of Molecular Biology. 437(15). 168956–168956.
2.
Zhu, Y., George Jones, Carlos Simmerling, et al.. (2024). MHC-Fine: Fine-tuned AlphaFold for precise MHC-peptide complex prediction. Biophysical Journal. 123(17). 2902–2909. 5 indexed citations
3.
Desta, Israel, Sergei Kotelnikov, George Jones, et al.. (2023). The ClusPro AbEMap web server for the prediction of antibody epitopes. Nature Protocols. 18(6). 1814–1840. 14 indexed citations
4.
Jones, George, Usman Ghani, Sergei Kotelnikov, et al.. (2022). Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap. Acta Crystallographica Section D Structural Biology. 78(6). 690–697. 29 indexed citations
5.
Egbert, Megan, et al.. (2022). FTMove: A Web Server for Detection and Analysis of Cryptic and Allosteric Binding Sites by Mapping Multiple Protein Structures. Journal of Molecular Biology. 434(11). 167587–167587. 16 indexed citations
6.
Jones, George, et al.. (2022). API Development Increases Access to Shared Computing Resources at Boston University. Journal of Software Engineering and Applications. 15(6). 197–207. 1 indexed citations
7.
Desta, Israel, Sergei Kotelnikov, George Jones, et al.. (2022). Mapping of antibody epitopes based on docking and homology modeling. Proteins Structure Function and Bioinformatics. 91(2). 171–182. 10 indexed citations
8.
Alekseenko, Andrey, et al.. (2020). Protein–Protein and Protein–Peptide Docking with ClusPro Server. Methods in molecular biology. 2165. 157–174. 43 indexed citations
9.
Bohnuud, Tanggis, George Jones, Ora Schueler‐Furman, & Dima Kozakov. (2017). Detection of Peptide-Binding Sites on Protein Surfaces Using the Peptimap Server. Methods in molecular biology. 1561. 11–20. 7 indexed citations
10.
Jones, George & Philip A. Knauf. (1985). Mechanism of the increase in cation permeability of human erythrocytes in low-chloride media. Involvement of the anion transport protein capnophorin.. The Journal of General Physiology. 86(5). 721–738. 69 indexed citations
11.
Castranova, V., George Jones, & P. R. Miles. (1983). Transmembrane potential of isolated rat alveolar type II cells. Journal of Applied Physiology. 54(6). 1511–1517. 18 indexed citations
12.
Castranova, V., George Jones, Jo Rae Wright, et al.. (1983). Transport properties of isolated type II alveolar epithelial cells.. PubMed. 127(5 Pt 2). S28–33. 8 indexed citations
13.
Castranova, Vincent, et al.. (1982). Volcanic ash: Toxicity to isolated lung cells. Journal of Toxicology and Environmental Health. 9(2). 317–325. 17 indexed citations
14.
Dyke, Knox Van, et al.. (1982). Inhibition by nonsteroidal antiinflammatory drugs of luminol-dependent human-granulocyte chemiluminescence and [3H]FMLP binding. Inflammation. 6(1). 113–125. 22 indexed citations
15.
Jones, George, et al.. (1981). Transmembrane potential changes associated with superoxide release from human granulocytes. Journal of Cellular Physiology. 106(1). 75–83. 56 indexed citations
16.
Jones, George, Knox Van Dyke, & Vincent Castranova. (1980). Purification of human granulocytes by centrifugal elutriation and measurement of transmembrane potential. Journal of Cellular Physiology. 104(3). 425–431. 31 indexed citations
17.
Jones, George. (1973). Lymphocyte Activation. The Journal of Immunology. 110(5). 1262–1267. 11 indexed citations
18.
Jones, George. (1973). Reversible binding of phytomitogens to lymphocytes. Cellular Immunology. 9(3). 393–404. 16 indexed citations
19.
Jones, George. (1972). Lymphocyte activation. II. Kinetics and specificity of the activation process with phytohaemagglutinin and concanavalin A.. PubMed. 12(3). 403–7. 2 indexed citations
20.
Jones, George. (1972). Lymphocyte activation. I. Expression of theta, H-2 and immunoglobulin determinants on lymphocytes stimulated by phytohaemagglutinin, pokeweed mitogen, concanavalin A or histocompatibility antigen.. PubMed. 12(3). 391–402. 31 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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