Tom Brismar

4.8k total citations
100 papers, 3.7k citations indexed

About

Tom Brismar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Tom Brismar has authored 100 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cellular and Molecular Neuroscience, 31 papers in Molecular Biology and 21 papers in Cognitive Neuroscience. Recurrent topics in Tom Brismar's work include Neuroscience and Neuropharmacology Research (23 papers), Neuroscience and Neural Engineering (21 papers) and Ion channel regulation and function (21 papers). Tom Brismar is often cited by papers focused on Neuroscience and Neuropharmacology Research (23 papers), Neuroscience and Neural Engineering (21 papers) and Ion channel regulation and function (21 papers). Tom Brismar collaborates with scholars based in Sweden, United States and Australia. Tom Brismar's co-authors include Vadim V. Nikulin, Anders A. F. Sima, Lars Hyllienmark, Klaus‐Robert Müller, Andreas Ziehe, Guido Nolte, Alois Schlögl, Nicole Krämer, Per Lindström and Karin Ekberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Neuroscience.

In The Last Decade

Tom Brismar

99 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Brismar Sweden 31 1.2k 1.1k 767 726 534 100 3.7k
P. Riekkinen Finland 41 1.5k 1.3× 1.6k 1.5× 969 1.3× 1.1k 1.5× 688 1.3× 192 5.4k
Luigi Murri Italy 45 1.6k 1.3× 1.4k 1.2× 1.6k 2.0× 1.2k 1.7× 2.0k 3.8× 257 7.3k
Makoto Mizuno Japan 33 501 0.4× 1.5k 1.4× 1.2k 1.6× 634 0.9× 249 0.5× 162 4.5k
Hiroki Namba Japan 37 377 0.3× 749 0.7× 1.3k 1.7× 495 0.7× 1.1k 2.0× 196 4.4k
M. Franceschi Italy 31 1.3k 1.0× 368 0.3× 463 0.6× 1.0k 1.4× 436 0.8× 99 3.5k
Jessica A. Filosa United States 31 491 0.4× 937 0.9× 967 1.3× 933 1.3× 441 0.8× 63 4.5k
Ronald F. Albrecht United States 40 401 0.3× 709 0.6× 644 0.8× 889 1.2× 1.2k 2.2× 192 4.8k
Patrick Santens Belgium 36 1.2k 1.0× 591 0.5× 561 0.7× 907 1.2× 1.6k 3.0× 180 4.1k
Swen Hesse Germany 32 637 0.5× 711 0.6× 454 0.6× 583 0.8× 577 1.1× 134 3.1k
Masakuni Kameyama Japan 31 314 0.3× 810 0.7× 823 1.1× 680 0.9× 791 1.5× 152 3.0k

Countries citing papers authored by Tom Brismar

Since Specialization
Citations

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

Fields of papers citing papers by Tom Brismar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Brismar

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Brismar. A scholar is included among the top collaborators of Tom Brismar 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 Tom Brismar. Tom Brismar 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.
Brismar, Tom, et al.. (2021). On the physiology of cognitive decline in type 1 diabetes. Neurophysiologie Clinique. 51(3). 259–265. 4 indexed citations
2.
Cooray, Gerald, et al.. (2019). Mechanism of visual network dysfunction in relapsing-remitting multiple sclerosis and its relation to cognition. Clinical Neurophysiology. 131(2). 361–367. 18 indexed citations
3.
4.
Maurex, Liselotte, et al.. (2013). Cognitive Impairment Has a Strong Relation to Nonsomatic Symptoms of Depression in Relapsing-Remitting Multiple Sclerosis. Archives of Clinical Neuropsychology. 28(2). 144–155. 46 indexed citations
5.
Cooray, Gerald, Lars Hyllienmark, & Tom Brismar. (2011). Decreased cortical connectivity and information flow in type 1 diabetes. Clinical Neurophysiology. 122(10). 1943–1950. 21 indexed citations
6.
Hyllienmark, Lars, et al.. (2011). Effect of Valproate, Lamotrigine and Levetiracetam on Excitability and Firing Properties of CA1 Neurons in Rat Brain Slices. Cellular and Molecular Neurobiology. 31(4). 645–652. 10 indexed citations
7.
Cooray, Gerald, Liselotte Maurex, & Tom Brismar. (2008). Cognitive impairment correlates to low auditory event-related potential amplitudes in type 1 diabetes. Psychoneuroendocrinology. 33(7). 942–950. 18 indexed citations
8.
Hansson, Thomas & Tom Brismar. (2003). Loss of sensory discrimination after median nerve injury and activation in the primary somatosensory cortex on functional magnetic resonance imaging. Journal of neurosurgery. 99(1). 100–105. 27 indexed citations
9.
Murakawa, Yūichi, Wei‐xian Zhang, Christopher R. Pierson, et al.. (2002). Impaired glucose tolerance and insulinopenia in the GK‐rat causes peripheral neuropathy. Diabetes/Metabolism Research and Reviews. 18(6). 473–483. 106 indexed citations
10.
Tanaka, Hidetaka, Lars Hyllienmark, Olav Thulesius, et al.. (1998). Autonomic function in children with Type 1 diabetes mellitus. Diabetic Medicine. 15(5). 402–411. 18 indexed citations
11.
Brismar, Tom, et al.. (1997). Effect of Metabolic Inhibitors on Membrane Potential and Ion Conductance of Rat Astrocytes. Cellular and Molecular Neurobiology. 17(4). 367–377. 23 indexed citations
12.
Hyllienmark, Lars, Johnny Ludvigsson, & Tom Brismar. (1997). No acute effect of high blood glucose on nerve conduction in adolescents with IDDM. Diabetes Research and Clinical Practice. 35(2-3). 157–161. 1 indexed citations
13.
Hyllienmark, Lars, Tom Brismar, & Johnny Ludvigsson. (1995). Subclinical nerve dysfunction in children and adolescents with IDDM. Diabetologia. 38(6). 685–692. 88 indexed citations
14.
Hyllienmark, Lars, Tom Brismar, & Johnny Ludvigsson. (1995). Subclinical nerve dysfunction in children and adolescents with IDDM. Diabetologia. 38(6). 685–692. 6 indexed citations
15.
Brismar, Tom, Astrid Gruber, & Curt Peterson. (1995). Increased cation transport inmdr1-gene-expressing K562 cells. Cancer Chemotherapy and Pharmacology. 36(1). 87–90. 5 indexed citations
16.
Brismar, Tom. (1993). Abnormal Na‐Currents in Diabetic Rat Nerve Nodal Membrane. Diabetic Medicine. 10(S2). 110S–112S. 24 indexed citations
17.
Brismar, Tom & Lena Ekenvall. (1992). Nerve conduction in the hands of vibration exposed workers. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section. 85(3). 173–176. 19 indexed citations
18.
Brismar, Tom, Collins Vp, & M. Kesselberg. (1989). Thallium-201 uptake relates to membrane potential and potassium permeability in human glioma cells. Brain Research. 500(1-2). 30–36. 80 indexed citations
19.
Brismar, Tom & Collins Vp. (1989). Potassium channels in human glioma cells. Pflügers Archiv - European Journal of Physiology. 414(S1). S137–S138. 3 indexed citations
20.
Brismar, Tom, et al.. (1980). BENZYLPENICILLIN AND PENTYLENETETRAZOL ON RAT MYELINATED NERVE-FIBERS. Epilepsia. 21. 192–192. 1 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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