Aleksandra Deczkowska
- Neurology top 0.2%
- Immunology top 2%
- Physiology top 2%
- Molecular Biology top 10%
- Biological Psychiatry top 0.5%
- Co-authors
- Michal SchwartzIdo AmitAssaf WeinerKuti BaruchMarco ColonnaHadas Keren‐ShaulAlexander KertserEyal David
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (18 papers)Tryptophan and brain disorders (6 papers)Stress Responses and Cortisol (3 papers)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Aleksandra Deczkowska
23 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Neurology 2.3k
- Immunology 1.4k
- Physiology 1.0k
- Molecular Biology 871
- Biological Psychiatry 707
Countries citing papers authored by Aleksandra Deczkowska
This map shows the geographic impact of Aleksandra Deczkowska'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 Aleksandra Deczkowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksandra Deczkowska more than expected).
Fields of papers citing papers by Aleksandra Deczkowska
This network shows the impact of papers produced by Aleksandra Deczkowska. 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 Aleksandra Deczkowska. The network helps show where Aleksandra Deczkowska may publish in the future.
Co-authorship network of co-authors of Aleksandra Deczkowska
This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra Deczkowska. A scholar is included among the top collaborators of Aleksandra Deczkowska 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 Aleksandra Deczkowska. Aleksandra Deczkowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 117 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | The Physiology, Pathology, and Potential Therapeutic Applications of the TREM2 Signaling Pathwaybreakdown → | 370 |
| 8 | 32 | |
| 9 | Disease-Associated Microglia: A Universal Immune Sensor of Neurodegenerationbreakdown → | 879 |
| 10 | 21 | |
| 11 | 133 | |
| 12 | 169 | |
| 13 | 91 | |
| 14 | 291 | |
| 15 | 181 | |
| 16 | 366 | |
| 17 | 82 | |
| 18 | 432 | |
| 19 | 27 | |
| 20 | 234 |
About Aleksandra Deczkowska
Aleksandra Deczkowska is a scholar working on Biological Psychiatry, Neurology and Behavioral Neuroscience, having authored 23 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Tryptophan and brain disorders (6 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Biological Psychiatry (707 citations), Neurology (2.3k citations) and Immunology (1.4k citations). Aleksandra Deczkowska has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Michal Schwartz, Ido Amit, Assaf Weiner, Kuti Baruch, Marco Colonna, Hadas Keren‐Shaul, Alexander Kertser, Eyal David, Afroditi Tsitsou-Kampeli and Neta Rosenzweig. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of 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.