Grzegorz Sułkowski

1.3k citations
46 papers · 1.0k indexed · h-index 19

Grzegorz Sułkowski

46 papers receiving 1.0k citations

Peers

Grzegorz Sułkowski
Comparison fields: 5 of 116
  • Developmental Neuroscience 132
  • Neurology 208
  • Health, Toxicology and Mutagenesis 241
  • Biological Psychiatry 34
  • Physiology 61
Replace Beata Dąbrowska‐Bouta with:
Beata Dąbrowska‐Bouta Poland
Elżbieta Ziemińska Poland
Jianbin Zhang China
Magdalena Gąssowska-Dobrowolska Poland
Anya Maan-Yuh Lin Taiwan
Claire L. Davies United Kingdom
Elisabetta Daré Sweden
Zhifeng Qi China
Barbara D’Angelo Italy
Ivana Stevanović Serbia
Grzegorz Sułkowski relative to Beata Dąbrowska‐Bouta Poland Beata Dąbrowska‐Bouta's profile →
Citations per field
00.5×1.5×2.2×
Beata Dąbrowska‐Bouta · 1×
Citations per year

Countries citing papers authored by Grzegorz Sułkowski

Since Specialization
Citations

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

Fields of papers citing papers by Grzegorz Sułkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Grzegorz Sułkowski, 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 Grzegorz Sułkowski Line = papers co-authored together Grzegorz Sułkowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20244
3 20231
4 20231
5 20224
6 20222
7 202110
8 202054
9 202087
10 202010
11 201726
12 20157
13 201346
14
Glutamate receptors antagonists attenuate neurological deficits and modulate neuroinflammation in Lewis rat subjected to experimental autoimmune encephalomyelitis
20131
15 201210
16 201029
17 200841
18
Changes of cytoskeletal proteins in ischaemic brain under cardiac arrest and reperfusion conditions.
20064
19 20009
20 199934

About Grzegorz Sułkowski

Grzegorz Sułkowski is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Heavy Metal Exposure and Toxicity (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Anesthesia and Neurotoxicity Research (8 papers), Multiple Sclerosis Research Studies (6 papers), Nanoparticles: synthesis and applications (6 papers), Trace Elements in Health (4 papers) and Molecular Sensors and Ion Detection (3 papers). The work is most often cited by research in Developmental Neuroscience (132 citations), Neurology (208 citations) and Health, Toxicology and Mutagenesis (241 citations). Grzegorz Sułkowski has collaborated with scholars based in Poland, United States and Russia. Frequent co-authors include Lidia Strużyńska, Beata Dąbrowska‐Bouta, Małgorzata Chalimoniuk, Małgorzata Frontczak‐Baniewicz, Urszula Rafałowska, Joanna Skalska, Marta Sidoryk‐Wȩgrzynowicz, M Walski, Elżbieta Salińska and Krystyna Mitosek‐Szewczyk. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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2026