Dariusz C. Górecki
- Molecular Biology top 5%
- Physiology top 0.2%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 2%
- Co-authors
- Eric A. BarnardChris YoungEugen BarbuMatthieu D. LavigneCameron AlexanderMarianela MasinRuth D. Murrell‐LagnadoJohn Tsibouklis
- Topics
- Muscle Physiology and Disorders (46 papers)Adenosine and Purinergic Signaling (25 papers)Adipose Tissue and Metabolism (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United KingdomPolandUnited States
In The Last Decade
Dariusz C. Górecki
115 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 2.4k
- Physiology 822
- Physiology 692
- Cellular and Molecular Neuroscience 683
- Neurology 423
Countries citing papers authored by Dariusz C. Górecki
This map shows the geographic impact of Dariusz C. Górecki'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 Dariusz C. Górecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dariusz C. Górecki more than expected).
Fields of papers citing papers by Dariusz C. Górecki
This network shows the impact of papers produced by Dariusz C. Górecki. 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 Dariusz C. Górecki. The network helps show where Dariusz C. Górecki may publish in the future.
Co-authorship network of co-authors of Dariusz C. Górecki
This figure shows the co-authorship network connecting the top 25 collaborators of Dariusz C. Górecki. A scholar is included among the top collaborators of Dariusz C. Górecki 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 Dariusz C. Górecki. Dariusz C. Górecki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 13 | |
| 4 | 21 | |
| 5 | 13 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 25 | |
| 9 | 59 | |
| 10 | 100 | |
| 11 | 176 | |
| 12 | 15 | |
| 13 | 12 | |
| 14 | 77 | |
| 15 | 90 | |
| 16 | Kainate-evoked changes in dystrophin mRNA levels in the rat hippocampus | 2 |
| 17 | 32 | |
| 18 | 53 | |
| 19 | 22 | |
| 20 | 11 |
About Dariusz C. Górecki
Dariusz C. Górecki is a scholar working on Physiology, Geriatrics and Gerontology and Neurology, having authored 117 papers that have together received 4.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (46 papers), Adenosine and Purinergic Signaling (25 papers) and Adipose Tissue and Metabolism (16 papers). The work is most often cited by research in Physiology (822 citations), Neurology (423 citations) and Cellular and Molecular Neuroscience (683 citations). Dariusz C. Górecki has collaborated with scholars based in United Kingdom, Poland and United States. Frequent co-authors include Eric A. Barnard, Chris Young, Eugen Barbu, Matthieu D. Lavigne, Cameron Alexander, Marianela Masin, Ruth D. Murrell‐Lagnado, John Tsibouklis, E. M. Molnar and Jonathan M.J. Derry. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.