Monika Mak
- Psychiatry and Mental health top 5%
- Cognitive Neuroscience top 10%
- Neurology top 10%
- Cellular and Molecular Neuroscience
- Biological Psychiatry top 5%
- Co-authors
- Jerzy SamochowiecAgnieszka SamochowiecErnest TyburskiJolanta Kucharska–MazurBłażej MisiakPrzemysław BieńkowskiJustyna Pełka-WysieckaMonika Białecka
- Topics
- Schizophrenia research and treatment (22 papers)Mental Health and Psychiatry (12 papers)Functional Brain Connectivity Studies (10 papers)
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Monika Mak
55 papers receiving 625 citations
Peers
Comparison fields: 5 of 84
- Psychiatry and Mental health 248
- Cognitive Neuroscience 132
- Neurology 109
- Cellular and Molecular Neuroscience 90
- Biological Psychiatry 89
Countries citing papers authored by Monika Mak
This map shows the geographic impact of Monika Mak'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 Monika Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monika Mak more than expected).
Fields of papers citing papers by Monika Mak
This network shows the impact of papers produced by Monika Mak. 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 Monika Mak. The network helps show where Monika Mak may publish in the future.
Co-authorship network of co-authors of Monika Mak
This figure shows the co-authorship network connecting the top 25 collaborators of Monika Mak. A scholar is included among the top collaborators of Monika Mak 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 Monika Mak. Monika Mak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 9 | |
| 13 | 14 | |
| 14 | 9 | |
| 15 | 12 | |
| 16 | 22 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | The efficacy of cognitive rehabilitation with RehaCom programme in schizophrenia patients. The role of selected genetic polymorphisms in successful cognitive rehabilitation. | 24 |
| 20 | 1 |
About Monika Mak
Monika Mak is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Philosophy, having authored 58 papers that have together received 638 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (22 papers), Mental Health and Psychiatry (12 papers) and Functional Brain Connectivity Studies (10 papers). The work is most often cited by research in Biological Psychiatry (89 citations), Psychiatry and Mental health (248 citations) and Behavioral Neuroscience (31 citations). Monika Mak has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Jerzy Samochowiec, Agnieszka Samochowiec, Ernest Tyburski, Jolanta Kucharska–Mazur, Błażej Misiak, Przemysław Bieńkowski, Justyna Pełka-Wysiecka, Monika Białecka, Jarosław Sławek and Marek Droździk. Their work appears in journals such as Neurology, International Journal of Molecular Sciences and European Journal of Pharmacology.
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.