Alex W. Thomas

2.5k total citations
53 papers, 1.9k citations indexed

About

Alex W. Thomas is a scholar working on Biophysics, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Alex W. Thomas has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Biophysics, 14 papers in Cognitive Neuroscience and 13 papers in Physiology. Recurrent topics in Alex W. Thomas's work include Electromagnetic Fields and Biological Effects (40 papers), Biofield Effects and Biophysics (9 papers) and Neural dynamics and brain function (7 papers). Alex W. Thomas is often cited by papers focused on Electromagnetic Fields and Biological Effects (40 papers), Biofield Effects and Biophysics (9 papers) and Neural dynamics and brain function (7 papers). Alex W. Thomas collaborates with scholars based in Canada, Italy and France. Alex W. Thomas's co-authors include Frank S. Prato, Charles M. Cook, Martin Kavaliers, Andrew Kertesz, Wilda Davidson, Neelesh K. Nadkarni, Klaus‐Peter Ossenkopp, John A. Robertson, Dick Drost and Deborah M. Saucier and has published in prestigious journals such as PLoS ONE, Pain and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Alex W. Thomas

53 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex W. Thomas Canada 25 951 616 568 317 288 53 1.9k
Masamichi Κato Japan 20 182 0.2× 200 0.3× 430 0.8× 248 0.8× 184 0.6× 65 1.4k
Zenon Sienkiewicz United Kingdom 22 486 0.5× 189 0.3× 670 1.2× 345 1.1× 42 0.1× 45 2.1k
P. A. Mason United States 23 535 0.6× 405 0.7× 102 0.2× 182 0.6× 34 0.1× 54 1.6k
David M. Rector United States 26 113 0.1× 152 0.2× 1.6k 2.8× 760 2.4× 54 0.2× 87 2.5k
Florent Haiss Germany 19 71 0.1× 438 0.7× 1.1k 2.0× 1.1k 3.5× 63 0.2× 24 2.3k
Brahim Selmaoui France 20 552 0.6× 334 0.5× 428 0.8× 54 0.2× 37 0.1× 62 1.5k
Qiru Feng China 18 92 0.1× 344 0.6× 859 1.5× 1.2k 3.8× 42 0.1× 22 2.4k
Galit Pelled United States 21 73 0.1× 116 0.2× 348 0.6× 473 1.5× 41 0.1× 53 1.2k
Hongxia Lei Switzerland 21 76 0.1× 231 0.4× 145 0.3× 402 1.3× 38 0.1× 50 1.5k
Spiro P. Pantazatos United States 25 58 0.1× 269 0.4× 658 1.2× 110 0.3× 137 0.5× 52 1.6k

Countries citing papers authored by Alex W. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Alex W. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex W. Thomas. 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 Alex W. Thomas. The network helps show where Alex W. Thomas may publish in the future.

Co-authorship network of co-authors of Alex W. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Alex W. Thomas. A scholar is included among the top collaborators of Alex W. Thomas 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 Alex W. Thomas. Alex W. Thomas 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.
Camera, Francesca, Alessandra Paffi, Alex W. Thomas, et al.. (2015). The CNP signal is able to silence a supra threshold neuronal model. Frontiers in Computational Neuroscience. 9. 44–44. 5 indexed citations
2.
Prato, Frank S., et al.. (2011). The detection threshold for extremely low frequency magnetic fields may be below 1000 nT‐Hz in mice. Bioelectromagnetics. 32(7). 561–569. 14 indexed citations
3.
Prato, Frank S., et al.. (2010). Micronuclei in the blood and bone marrow cells of mice exposed to specific complex time‐varying pulsed magnetic fields. Bioelectromagnetics. 31(6). 445–453. 7 indexed citations
4.
McNamee, James P., Leonora Marro, Vijayalaxmi Vijayalaxmi, et al.. (2009). Assessment of genetic damage in peripheral blood of human volunteers exposed (whole-body) to a 200 μT, 60 Hz magnetic field. International Journal of Radiation Biology. 85(2). 144–152. 10 indexed citations
5.
McNamee, David, et al.. (2009). The cardiovascular response to an acute 1800-μT, 60-Hz magnetic field exposure in humans. International Archives of Occupational and Environmental Health. 83(4). 441–454. 10 indexed citations
6.
7.
Robertson, John A., Alex W. Thomas, Y Bureau, & Frank S. Prato. (2006). The influence of extremely low frequency magnetic fields on cytoprotection and repair. Bioelectromagnetics. 28(1). 16–30. 34 indexed citations
8.
9.
Prato, Frank S., et al.. (2006). A literature review: The effects of magnetic field exposure on blood flow and blood vessels in the microvasculature. Bioelectromagnetics. 28(2). 81–98. 117 indexed citations
10.
Prato, Frank S., et al.. (2005). Daily repeated magnetic field shielding induces analgesia in CD‐1 mice. Bioelectromagnetics. 26(2). 109–117. 57 indexed citations
11.
Thomas, Alex W., et al.. (2005). Light alters nociceptive effects of magnetic field shielding. Bioelectromagnetics. 27(1). 10–15. 10 indexed citations
12.
Cook, Charles M., et al.. (2005). Resting EEG effects during exposure to a pulsed ELF magnetic field. Bioelectromagnetics. 26(5). 367–376. 45 indexed citations
13.
Cook, Charles M., Alex W. Thomas, & Frank S. Prato. (2004). Resting EEG is affected by exposure to a pulsed ELF magnetic field. Bioelectromagnetics. 25(3). 196–203. 76 indexed citations
14.
Kavaliers, Martin, et al.. (2003). Analgesic and behavioral effects of a 100 μT specific pulsed extremely low frequency magnetic field on control and morphine treated CF-1 mice. Neuroscience Letters. 354(1). 30–33. 56 indexed citations
15.
McCreary, Cheryl R., Alex W. Thomas, & Frank S. Prato. (2002). Factors confounding cytosolic calcium measurements in Jurkat E6.1 cells during exposure to ELF magnetic fields. Bioelectromagnetics. 23(4). 315–328. 16 indexed citations
16.
Choleris, Elena, Cristina Del Seppia, Alex W. Thomas, et al.. (2002). Shielding, but not zeroing of the ambient magnetic field reduces stress-induced analgesia in mice. Proceedings of the Royal Society B Biological Sciences. 269(1487). 193–201. 57 indexed citations
17.
Thomas, Alex W., Kevin P. White, Dick Drost, Charles M. Cook, & Frank S. Prato. (2001). A comparison of rheumatoid arthritis and fibromyalgia patients and healthy controls exposed to a pulsed (200 μT) magnetic field: effects on normal standing balance. Neuroscience Letters. 309(1). 17–20. 37 indexed citations
18.
Kertesz, Andrew, Neelesh K. Nadkarni, Wilda Davidson, & Alex W. Thomas. (2000). The Frontal Behavioral Inventory in the differential diagnosis of frontotemporal dementia. Journal of the International Neuropsychological Society. 6(4). 460–468. 240 indexed citations
19.
Prato, Frank S., Martin Kavaliers, & Alex W. Thomas. (2000). Extremely low frequency magnetic fields can either increase or decrease analgaesia in the land snail depending on field and light conditions. Bioelectromagnetics. 21(4). 287–301. 68 indexed citations
20.
Thomas, Alex W., Martin Kavaliers, Frank S. Prato, & Klaus‐Peter Ossenkopp. (1997). Antinociceptive effects of a pulsed magnetic field in the land snail, Cepaea nemoralis. Neuroscience Letters. 222(2). 107–110. 82 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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