Jack A. Tuszyński

18.3k citations
636 papers · 13.3k · 2 hit papers · h-index 56

Impact in

Papers in

Jack A. Tuszyński

609 papers receiving 12.8k citations

Jack A. Tuszyński's Hit Papers

The Uniqueness of Albumin as a Carrier in Nanodrug Delivery 2021 · 430 citations
4300+3+6Years since publication2505007501000

Peers

Jack A. Tuszyński
Comparison fields: 5 of 201
  • Cell Biology 2.1k
  • Biophysics 528
  • Cellular and Molecular Neuroscience 1.6k
  • Molecular Biology 5.2k
  • Statistical and Nonlinear Physics 998
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Citations per year

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-authors

The 25 scholars most cited alongside Jack A. Tuszyński, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack A. Tuszyński Line = papers co-authored together Jack A. Tuszyński links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 636 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Software for molecular docking: a review
Hit paper breakdown →
20171064
2
The Uniqueness of Albumin as a Carrier in Nanodrug Delivery
Hit paper breakdown →
2021430
3 2002278
4 2010215
5 1993166
6 1995153
7 2012152
8 2002152
9 2022136
10 2004135
11 2020130
12 2002124
13 2004123
14 2012123
15 2010113
16 2005113
17 2006113
18 2019112
19 2008102
20 2005101

About Jack A. Tuszyński

Jack A. Tuszyński is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Cell Biology, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 636 papers that have together received 13.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (113 papers), Photoreceptor and optogenetics research (77 papers), Protein Structure and Dynamics (54 papers), Spectroscopy and Quantum Chemical Studies (50 papers), Biofield Effects and Biophysics (44 papers), Cancer therapeutics and mechanisms (36 papers), Computational Drug Discovery Methods (34 papers) and Photosynthetic Processes and Mechanisms (28 papers). The work is most often cited by research in Cell Biology (2.1k citations), Biophysics (528 citations), Cellular and Molecular Neuroscience (1.6k citations), Molecular Biology (5.2k citations) and Statistical and Nonlinear Physics (998 citations). Jack A. Tuszyński has collaborated with scholars based in Canada, Italy and United States. Frequent 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. Their work appears in journals such as Physics Letters A, PLoS ONE, International Journal of Molecular Sciences, Biosystems and Physica A Statistical Mechanics and its Applications.

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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