Michał Prendecki

35 total papers · 1.3k total citations
27 papers, 925 citations indexed

About

Michał Prendecki is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michał Prendecki has authored 27 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 10 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michał Prendecki's work include Alzheimer's disease research and treatments (10 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Folate and B Vitamins Research (3 papers). Michał Prendecki is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Folate and B Vitamins Research (3 papers). Michał Prendecki collaborates with scholars based in Poland and United Kingdom. Michał Prendecki's co-authors include Jolanta Dorszewska, Wojciech Kozubski, Marta Kowalska, Anna Oczkowska, Mateusz Dezor, Thomas Piekut, Margarita Lianeri, Joanna Kozłowska, Teresa Grzelak and Agata Różycka and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Oncotarget.

In The Last Decade

Michał Prendecki

27 papers receiving 911 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michał Prendecki 355 305 152 152 118 27 925
Nurgül Aytan 372 1.0× 264 0.9× 147 1.0× 185 1.2× 137 1.2× 30 1.0k
Teemu Natunen 450 1.3× 479 1.6× 162 1.1× 212 1.4× 167 1.4× 44 1.1k
Mar Pacheco‐Herrero 315 0.9× 414 1.4× 98 0.6× 203 1.3× 106 0.9× 23 928
Arijit Ghosh 426 1.2× 298 1.0× 108 0.7× 214 1.4× 89 0.8× 22 1.2k
Jingshu Xu 451 1.3× 365 1.2× 125 0.8× 171 1.1× 165 1.4× 37 1.2k
Yifeng Du 368 1.0× 210 0.7× 83 0.5× 208 1.4× 193 1.6× 22 929
Liat Lomnitski 424 1.2× 227 0.7× 134 0.9× 100 0.7× 73 0.6× 28 1.1k
Luis O. Soto-Rojas 299 0.8× 306 1.0× 125 0.8× 247 1.6× 120 1.0× 32 866
Elham Amini 496 1.4× 212 0.7× 172 1.1× 109 0.7× 230 1.9× 30 1.1k
Juan Carlos Corona 469 1.3× 221 0.7× 223 1.5× 101 0.7× 245 2.1× 28 1.1k

Countries citing papers authored by Michał Prendecki

Since Specialization
Citations

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

Fields of papers citing papers by Michał Prendecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Prendecki

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Prendecki. A scholar is included among the top collaborators of Michał Prendecki 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 Michał Prendecki. Michał Prendecki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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