Maja Bajs

899 citations
6 papers · 452 indexed · h-index 6
Topics
Functional Brain Connectivity Studies (2 papers)Metabolomics and Mass Spectrometry Studies (2 papers)Mental Health Treatment and Access (2 papers)

In The Last Decade

Maja Bajs

6 papers receiving 449 citations

Peers

Maja Bajs
Comparison fields: 5 of 69
  • Experimental and Cognitive Psychology 160
  • Pharmacology 157
  • Psychiatry and Mental health 128
  • Cognitive Neuroscience 119
  • Clinical Psychology 110
Replace Sarah Uzelac with:
Sarah Uzelac United States
Yasmin Mahal United States
Enrico Zanalda Italy
Sang‐Woo Hahn South Korea
Thomas Stamm Germany
Terry Schwartz United States
Jerónimo Sáiz Ruiz Spain
Cláudia Hara Brazil
Marie‐Josée Filteau Canada
Martin P Paulus United States
Maja Bajs relative to Sarah Uzelac United States Sarah Uzelac's profile →
Citations per field
00.5×3.7×
Sarah Uzelac · 1×
Citations per year

Countries citing papers authored by Maja Bajs

Since Specialization
Citations

This map shows the geographic impact of Maja Bajs'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 Maja Bajs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Bajs more than expected).

Fields of papers citing papers by Maja Bajs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja Bajs. 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 Maja Bajs. The network helps show where Maja Bajs may publish in the future.

Co-authorship network of co-authors of Maja Bajs

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Bajs. A scholar is included among the top collaborators of Maja Bajs 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 Maja Bajs. Maja Bajs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Changes in brain metabolites measured with magnetic resonance spectroscopy in antidepressant responders with comorbid major depression and posttraumatic stress disorder.
17
2 306
3
1-H MRS changes in dorsolateral prefrontal cortex after donepezil treatment in patients with mild to moderate Alzheimer's disease.
17
4 18
5 76
6
Change of diagnosis of post-traumatic stress disorder related to compensation-seeking.
18

About Maja Bajs

Maja Bajs is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Social Psychology, having authored 6 papers that have together received 452 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Mental Health Treatment and Access (2 papers). The work is most often cited by research in Biological Psychiatry (82 citations), Experimental and Cognitive Psychology (160 citations) and Behavioral Neuroscience (37 citations). Maja Bajs has collaborated with scholars based in Croatia, United Kingdom and Serbia. Frequent co-authors include Neven Henigsberg, Ole Mors, Astrid Zobel, Rudolf Uher, Joanna Hauser, Peter McGuffin, Katherine J. Aitchison, Marcella Rietschel, Roy H. Perlis and Mojca Zvezdana Dernovšek. Their work appears in journals such as The British Journal of Psychiatry, Psychological Medicine and European Psychiatry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026