Jack A. Tuszyński

17.8k total citations · 2 hit papers
596 papers, 12.1k citations indexed

About

Jack A. Tuszyński is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Cell Biology. According to data from OpenAlex, Jack A. Tuszyński has authored 596 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 254 papers in Molecular Biology, 131 papers in Atomic and Molecular Physics, and Optics and 116 papers in Cell Biology. Recurrent topics in Jack A. Tuszyński's work include Microtubule and mitosis dynamics (109 papers), Photoreceptor and optogenetics research (70 papers) and Protein Structure and Dynamics (56 papers). Jack A. Tuszyński is often cited by papers focused on Microtubule and mitosis dynamics (109 papers), Photoreceptor and optogenetics research (70 papers) and Protein Structure and Dynamics (56 papers). Jack A. Tuszyński collaborates with scholars based in Canada, Italy and United States. Jack A. Tuszyński's co-authors include Nataraj Sekhar Pagadala, Khajamohiddin Syed, Stuart R. Hameroff, J.M. Dixon, M. V. Satarić, Travis J. A. Craddock, Khaled Barakat, J. Torin Huzil, Avner Priel and Tyler Luchko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Chemical Physics.

In The Last Decade

Jack A. Tuszyński

570 papers receiving 11.6k citations

Hit Papers

Software for molecular do... 2017 2026 2020 2023 2017 2021 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jack A. Tuszyński 5.0k 2.0k 1.5k 1.5k 1.3k 596 12.1k
Laxmikant V. Kalé 11.3k 2.3× 1.1k 0.6× 1.2k 0.8× 2.3k 1.5× 590 0.5× 293 22.6k
Robert D. Skeel 12.4k 2.5× 1.2k 0.6× 1.3k 0.9× 2.9k 2.0× 625 0.5× 105 20.9k
Huan‐Xiang Zhou 14.3k 2.8× 1.3k 0.7× 916 0.6× 2.2k 1.5× 463 0.4× 407 18.9k
Bert L. de Groot 15.7k 3.1× 1.5k 0.8× 1.5k 1.0× 2.0k 1.4× 1.2k 0.9× 229 21.3k
Rosemary Braun 10.1k 2.0× 1.1k 0.5× 1.2k 0.8× 1.9k 1.3× 639 0.5× 46 15.8k
Nathan Baker 10.6k 2.1× 1.0k 0.5× 745 0.5× 1.6k 1.1× 468 0.4× 114 15.4k
Helmut Grubmüller 16.2k 3.2× 2.6k 1.3× 2.0k 1.3× 4.4k 3.0× 1.0k 0.8× 259 22.9k
Kresten Lindorff‐Larsen 15.3k 3.0× 1.1k 0.6× 751 0.5× 1.9k 1.3× 994 0.8× 227 19.0k
James C. Gumbart 14.0k 2.8× 1.2k 0.6× 1.3k 0.9× 2.4k 1.7× 552 0.4× 154 20.5k
Michael Feig 16.6k 3.3× 1.2k 0.6× 1.4k 0.9× 2.9k 2.0× 881 0.7× 176 21.3k

Countries citing papers authored by Jack A. Tuszyński

Since Specialization
Citations

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

Fields of papers citing papers by Jack A. Tuszyński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack A. Tuszyński

This figure shows the co-authorship network connecting the top 25 collaborators of Jack A. Tuszyński. A scholar is included among the top collaborators of Jack A. Tuszyński 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 Jack A. Tuszyński. Jack A. Tuszyński 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
2.
Tuszyński, Jack A., et al.. (2025). A comprehensive primer and review of PROTACs and their In Silico design. Computer Methods and Programs in Biomedicine. 264. 108687–108687. 2 indexed citations
3.
Hazan, Hananel, et al.. (2024). A Systems Biology Analysis of Chronic Lymphocytic Leukemia. SHILAP Revista de lepidopterología. 4(3). 163–191. 1 indexed citations
4.
Costa, Frederico, Bertram Wiedenmann, Eckehard Schöll, & Jack A. Tuszyński. (2024). Emerging cancer therapies: targeting physiological networks and cellular bioelectrical differences with non-thermal systemic electromagnetic fields in the human body – a comprehensive review. SHILAP Revista de lepidopterología. 4. 1483401–1483401. 5 indexed citations
6.
Ebenezer, Oluwakemi, et al.. (2024). Designing of potential siRNA molecules for African norovirus gene silencing: A computational approach. 3. 100021–100021. 1 indexed citations
7.
Struga, Marta, et al.. (2024). Novel Combretastatin A-4 Analogs—Design, Synthesis, and Antiproliferative and Anti-Tubulin Activity. Molecules. 29(10). 2200–2200. 2 indexed citations
8.
Tuszyński, Jack A., et al.. (2023). Identification of p53-R175H Q167 and R248 as Residues Most Involved in Its Interaction with Plakoglobin. SHILAP Revista de lepidopterología. 3(1). 40–51.
9.
Cavaglià, Marco, Marco A. Deriu, & Jack A. Tuszyński. (2023). Toward a holographic brain paradigm: a lipid-centric model of brain functioning. Frontiers in Neuroscience. 17. 7 indexed citations
10.
Vezzetti, Enrico, et al.. (2023). Understanding the contagiousness of Covid-19 strains: A geometric approach. Journal of Molecular Graphics and Modelling. 126. 108670–108670.
11.
Ebenezer, Oluwakemi, et al.. (2023). Development of Novel siRNA Therapeutics: A Review with a Focus on Inclisiran for the Treatment of Hypercholesterolemia. International Journal of Molecular Sciences. 24(4). 4019–4019. 25 indexed citations
12.
Moser, Justin C., Ellaine Salvador, Kenneth D. Swanson, et al.. (2022). The Mechanisms of Action of Tumor Treating Fields. Cancer Research. 82(20). 3650–3658. 65 indexed citations
13.
Aminpour, Maral, Jan Janczak, Ewa Maj, et al.. (2021). An insight into the anticancer potential of carbamates and thiocarbamates of 10-demethoxy-10-methylaminocolchicine. European Journal of Medicinal Chemistry. 215. 113282–113282. 19 indexed citations
14.
Aminpour, Maral, Jan Janczak, Ewa Maj, et al.. (2020). Synthesis, Antiproliferative Activity and Molecular Docking Studies of Novel Doubly Modified Colchicine Amides and Sulfonamides as Anticancer Agents. Molecules. 25(8). 1789–1789. 56 indexed citations
15.
Aminpour, Maral, et al.. (2020). New Series of Double-Modified Colchicine Derivatives: Synthesis, Cytotoxic Effect and Molecular Docking. Molecules. 25(15). 3540–3540. 14 indexed citations
16.
Marracino, Paolo, Daniel Havelka, Micaela Liberti, et al.. (2019). Tubulin response to intense nanosecond-scale electric field in molecular dynamics simulation. Scientific Reports. 9(1). 10477–10477. 49 indexed citations
17.
Klejborowska, Greta, Ewa Maj, Jordane Preto, et al.. (2019). Synthesis, antiproliferative activity, and molecular docking studies of 4‐chlorothiocolchicine analogues. Chemical Biology & Drug Design. 95(1). 182–191. 4 indexed citations
18.
Freedman, Holly, Philip Winter, Jack A. Tuszyński, D. Lorne Tyrrell, & Michael Houghton. (2018). A computational approach for predicting off-target toxicity of antiviral ribonucleoside analogues to mitochondrial RNA polymerase. Journal of Biological Chemistry. 293(25). 9696–9705. 11 indexed citations
19.
Klejborowska, Greta, Ewa Maj, Joanna Wietrzyk, et al.. (2018). Synthesis and Biological Evaluation of Novel Triple-Modified Colchicine Derivatives as Potent Tubulin-Targeting Anticancer Agents. Cells. 7(11). 216–216. 27 indexed citations
20.
Klejborowska, Greta, Ewa Maj, Joanna Wietrzyk, et al.. (2018). Antiproliferative Activity and Molecular Docking of Novel Double-Modified Colchicine Derivatives. Cells. 7(11). 192–192. 30 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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