Małgorzata Chodakowska-Żebrowska
- Biological Psychiatry top 10%
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research 7
- Physiology top 10%
- Alzheimer's disease research and treatments 9
- Neurology top 10%
- Neurological diseases and metabolism 2
- Rheumatology top 10%
- Folate and B Vitamins Research 4
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- Bioinformatics and Genomic Networks 4
- Prion Diseases and Protein Misfolding 2
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- Genomics and Rare Diseases 2
- Genetic Associations and Epidemiology 2
Małgorzata Chodakowska-Żebrowska
23 papers receiving 574 citations
Peers
Comparison fields: 5 of 76
- Biological Psychiatry 39
- Psychiatry and Mental health 187
- Physiology 263
- Neurology 78
- Rheumatology 98
Countries citing papers authored by Małgorzata Chodakowska-Żebrowska
This map shows the geographic impact of Małgorzata Chodakowska-Żebrowska'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 Małgorzata Chodakowska-Żebrowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Chodakowska-Żebrowska more than expected).
Fields of papers citing papers by Małgorzata Chodakowska-Żebrowska
This network shows the impact of papers produced by Małgorzata Chodakowska-Żebrowska. 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 Małgorzata Chodakowska-Żebrowska. The network helps show where Małgorzata Chodakowska-Żebrowska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Małgorzata Chodakowska-Żebrowska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 8 | |
| 2 | 2015 | 34 | |
| 3 | 2015 | 8 | |
| 4 | Clinical Dementia Rating Scale (CDR) and dementia risk in the Mild Cognitive Impairment patients | 2013 | 1 |
| 5 | 2013 | 12 | |
| 6 | 2013 | 6 | |
| 7 | 2013 | 18 | |
| 8 | 2012 | 12 | |
| 9 | 2012 | 14 | |
| 10 | The role of neuropsychological assessment in the detection of early symptoms in frontotemporal dementia and parkinsonism linked to chromosome 17 (FTDP-17) | 2011 | 1 |
| 11 | Association between genetic and environmental factors and the risk of Alzheimer's disease. | 2008 | 32 |
| 12 | 2007 | 5 | |
| 13 | Serum kynurenic acid positively correlates with cardiovascular disease risk factor, homocysteine: a study in stroke patients. | 2007 | 28 |
| 14 | 2006 | 55 | |
| 15 | 2006 | 149 | |
| 16 | 2006 | 23 | |
| 17 | 2005 | 19 | |
| 18 | 2004 | 11 | |
| 19 | 2003 | 74 | |
| 20 | 2003 | 17 |
About Małgorzata Chodakowska-Żebrowska
Małgorzata Chodakowska-Żebrowska is a scholar working on Neuropsychology and Physiological Psychology, Psychiatry and Mental health and Aging, having authored 23 papers that have together received 586 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Dementia and Cognitive Impairment Research (7 papers), Bioinformatics and Genomic Networks (4 papers), Folate and B Vitamins Research (4 papers), Genomics and Rare Diseases (2 papers), Genetic Associations and Epidemiology (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Neurological diseases and metabolism (2 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Psychiatry and Mental health (187 citations) and Physiology (263 citations). Małgorzata Chodakowska-Żebrowska has collaborated with scholars based in Poland, Sweden and United States. Frequent co-authors include Maria Barcikowska, Maria Styczyńska, Beata Pepłońska, Anna Barczak, Tomasz Gabryelewicz, B. Wasiak, E Łuczywek, Dorota Religa, A. Pfeffer and W Androsiuk. Their work appears in journals such as PLoS ONE, Experimental Neurology and Journal of Alzheimer s Disease.
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.