Jakub Włodarczyk
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Biological Psychiatry top 1%
- Physiology top 5%
- Neurology top 2%
- Co-authors
- Monika BijataEvgeni PonimaskinLeszek KaczmarekBorys KierdaszukMagdalena DziembowskaGrzegorz M. WilczyńskiAdam KrzystyniakAlexander Dityatev
- Topics
- Neuroscience and Neuropharmacology Research (24 papers)Protease and Inhibitor Mechanisms (13 papers)Neuroinflammation and Neurodegeneration Mechanisms (10 papers)
In The Last Decade
Jakub Włodarczyk
73 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 933
- Biological Psychiatry 387
- Physiology 366
- Neurology 365
Countries citing papers authored by Jakub Włodarczyk
This map shows the geographic impact of Jakub Włodarczyk'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 Jakub Włodarczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Włodarczyk more than expected).
Fields of papers citing papers by Jakub Włodarczyk
This network shows the impact of papers produced by Jakub Włodarczyk. 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 Jakub Włodarczyk. The network helps show where Jakub Włodarczyk may publish in the future.
Co-authorship network of co-authors of Jakub Włodarczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Włodarczyk. A scholar is included among the top collaborators of Jakub Włodarczyk 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 Jakub Włodarczyk. Jakub Włodarczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | Cellular Senescence in Brain Agingbreakdown → | 199 |
| 10 | 9 | |
| 11 | 77 | |
| 12 | Chronic unpredictable mild stress for modeling depression in rodents: Meta-analysis of model reliabilitybreakdown → | 523 |
| 13 | 34 | |
| 14 | 5 | |
| 15 | 43 | |
| 16 | 18 | |
| 17 | 110 | |
| 18 | 34 | |
| 19 | 45 | |
| 20 | 2 |
About Jakub Włodarczyk
Jakub Włodarczyk is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Neurology, having authored 74 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Protease and Inhibitor Mechanisms (13 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). The work is most often cited by research in Biological Psychiatry (387 citations), Behavioral Neuroscience (347 citations) and Cellular and Molecular Neuroscience (933 citations). Jakub Włodarczyk has collaborated with scholars based in Poland, Germany and India. Frequent co-authors include Monika Bijata, Evgeni Ponimaskin, Leszek Kaczmarek, Borys Kierdaszuk, Magdalena Dziembowska, Grzegorz M. Wilczyński, Adam Krzystyniak, Alexander Dityatev, Andrew Woehler and Błażej Ruszczycki. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Bioinformatics.
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.