J Białowas

411 total citations
26 papers, 347 citations indexed

About

J Białowas is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, J Białowas has authored 26 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 7 papers in Pharmacology. Recurrent topics in J Białowas's work include Neuroscience and Neuropharmacology Research (10 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Memory and Neural Mechanisms (6 papers). J Białowas is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Memory and Neural Mechanisms (6 papers). J Białowas collaborates with scholars based in Poland, Germany and Singapore. J Białowas's co-authors include Michael Frotscher, Dariusz Świetlik, Aida Kusiak, O Narkiewicz, Michal K. Stachowiak, B Oderfeld-Nowak, Jolanta Dąbrowska, Janusz Moryś, Marek Grzybiak and Ilona Klejbor and has published in prestigious journals such as The Journal of Comparative Neurology, Molecules and International Journal of Environmental Research and Public Health.

In The Last Decade

J Białowas

26 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Białowas Poland 9 214 140 93 70 53 26 347
Paolo Garofalo Italy 13 226 1.1× 176 1.3× 105 1.1× 69 1.0× 57 1.1× 26 462
Ying‐Ching Liang Taiwan 10 248 1.2× 104 0.7× 104 1.1× 47 0.7× 68 1.3× 11 354
Tian Yu China 13 202 0.9× 209 1.5× 81 0.9× 24 0.3× 36 0.7× 39 483
Sonia Gómez‐Urquijo Spain 12 231 1.1× 104 0.7× 47 0.5× 123 1.8× 39 0.7× 19 373
A. Meldrum United Kingdom 8 241 1.1× 83 0.6× 132 1.4× 41 0.6× 51 1.0× 10 411
E. De Prins Belgium 8 238 1.1× 72 0.5× 183 2.0× 27 0.4× 42 0.8× 9 428
P. Riekkinen Finland 10 177 0.8× 151 1.1× 128 1.4× 58 0.8× 65 1.2× 20 388
Katia Boutourlinsky France 7 218 1.0× 57 0.4× 124 1.3× 61 0.9× 35 0.7× 9 338
Brooke G. Kelley United States 7 252 1.2× 52 0.4× 122 1.3× 163 2.3× 109 2.1× 8 392
Kalidas Nandy United States 10 130 0.6× 70 0.5× 99 1.1× 15 0.2× 91 1.7× 17 427

Countries citing papers authored by J Białowas

Since Specialization
Citations

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

Fields of papers citing papers by J Białowas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Białowas

This figure shows the co-authorship network connecting the top 25 collaborators of J Białowas. A scholar is included among the top collaborators of J Białowas 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 J Białowas. J Białowas 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.
Świetlik, Dariusz, et al.. (2022). Virtual Therapy with the NMDA Antagonist Memantine in Hippocampal Models of Moderate to Severe Alzheimer’s Disease, in Silico Trials. Pharmaceuticals. 15(5). 546–546. 8 indexed citations
2.
Świetlik, Dariusz & J Białowas. (2019). Application of Artificial Neural Networks to Identify Alzheimer’s Disease Using Cerebral Perfusion SPECT Data. International Journal of Environmental Research and Public Health. 16(7). 1303–1303. 31 indexed citations
3.
Świetlik, Dariusz, J Białowas, Janusz Moryś, Ilona Klejbor, & Aida Kusiak. (2019). Computer Modeling of Alzheimer’s Disease—Simulations of Synaptic Plasticity and Memory in the CA3-CA1 Hippocampal Formation Microcircuit. Molecules. 24(10). 1909–1909. 3 indexed citations
4.
Świetlik, Dariusz, J Białowas, Janusz Moryś, Ilona Klejbor, & Aida Kusiak. (2019). Effects of Inducing Gamma Oscillations in Hippocampal Subregions DG, CA3, and CA1 on the Potential Alleviation of Alzheimer’s Disease-Related Pathology: Computer Modeling and Simulations. Entropy. 21(6). 587–587. 8 indexed citations
5.
Świetlik, Dariusz, J Białowas, Janusz Moryś, & Aida Kusiak. (2019). Computer Model of Synapse Loss During an Alzheimer’s Disease-Like Pathology in Hippocampal Subregions DG, CA3 and CA1—The Way to Chaos and Information Transfer. Entropy. 21(4). 408–408. 15 indexed citations
6.
Świetlik, Dariusz, et al.. (2018). A computational simulation of long-term synaptic potentiation inducing protocol processes with model of CA3 hippocampal microcircuit. Folia Morphologica. 77(2). 210–220. 14 indexed citations
7.
Świetlik, Dariusz, et al.. (2018). Memory and forgetting processes with the firing neuron model. Folia Morphologica. 77(2). 221–233. 13 indexed citations
8.
Białowas, J, et al.. (2006). Firing Cell: An Artificial Neuron with Long-Term Synaptic Potentiation Capacity. 3. 1313–1317. 2 indexed citations
9.
Białowas, J, et al.. (2000). Right-sided aortic arch.. PubMed. 59(3). 211–6. 16 indexed citations
10.
Nitecka, L, R. Häßler, J Białowas, & A. Wagner. (1983). The different types of synapses in the thalamic nucleus ventralis anterior (VA) of Saimiri sciureus and their degeneration after pallidum coagulation.. PubMed. 24(2). 149–64. 1 indexed citations
11.
Białowas, J, et al.. (1981). Rewarding effect of noradrenergic stimulation of the amygdala in food deprived rats☆. Physiology & Behavior. 27(1). 27–31. 5 indexed citations
12.
Białowas, J, et al.. (1979). The relationship between catecholamine levels in the hypothalamus and amygdala under influence of glucose overloading in hungry and sated rats.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 31(4). 325–35. 5 indexed citations
13.
Stachowiak, Michal K., et al.. (1979). Hunger induced changes in the noradrenaline and dopamine contents in various nuclei of the limbic system in rats.. PubMed. 31(4). 337–43. 5 indexed citations
14.
15.
Białowas, J, et al.. (1978). [Metastasis of renal clear cell carcinoma to the frontal bone].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 32(2). 221–4. 1 indexed citations
16.
Stachowiak, Michal K., et al.. (1978). Catecholamines in some hypothalamic and telencephalic nuclei of food deprived rats.. PubMed. 38(4). 157–65. 19 indexed citations
17.
Białowas, J & O Narkiewicz. (1974). Acetylcholinesterase activity in the septum of the rat: a histochemical topography.. PubMed. 34(5). 573–83. 10 indexed citations
18.
Oderfeld-Nowak, B, et al.. (1974). The influence of septal nuclei lesions on activity of acetylcholinesterase and choline acetyltransferase in the hippocampus of the rat.. PubMed. 34(5). 583–601. 50 indexed citations
19.
Nitecka, L, et al.. (1973). Nuclei of the amygdaloid body in cats--structure and acetylocholinesterase activity.. PubMed. 32(1). 39–50. 2 indexed citations
20.
Białowas, J, et al.. (1972). [Structure of the claustrum in rabbits].. PubMed. 31(1). 73–81. 4 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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