Dajana Großmann

513 total citations
15 papers, 306 citations indexed

About

Dajana Großmann is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dajana Großmann has authored 15 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dajana Großmann's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Autophagy in Disease and Therapy (4 papers) and Mitochondrial Function and Pathology (4 papers). Dajana Großmann is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Autophagy in Disease and Therapy (4 papers) and Mitochondrial Function and Pathology (4 papers). Dajana Großmann collaborates with scholars based in Germany, Luxembourg and United States. Dajana Großmann's co-authors include Rejko Krüger, Anne Grünewald, Paul Antony, Giuseppe Arena, Andreas Hermann, François Massart, Enrico Glaab, Philip Seibler, Sylvie Delcambre and Sandro L. Pereira and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Human Molecular Genetics.

In The Last Decade

Dajana Großmann

15 papers receiving 306 citations

Peers

Dajana Großmann
Comparison fields: 5 of 54
  • Molecular Biology 212
  • Neurology 106
  • Epidemiology 88
  • Cellular and Molecular Neuroscience 66
  • Physiology 57
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Maxime Jacoupy France
Elena Marchesan Italy
Wei Yi China
Taku Arano Japan
Ruoxi Wang United States
David Marcellin Switzerland
William M. Rosencrans United States
Merle Mandel Estonia
Min Joo Kim United States
Maya Ando Japan
Maxime Jacoupy France View profile →
Citations per field, relative to Dajana Großmann
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Citations per year, relative to Dajana Großmann
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Countries citing papers authored by Dajana Großmann

Since Specialization
Citations

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

Fields of papers citing papers by Dajana Großmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dajana Großmann

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 3
2 5
3 4
4 3
5 3
6 24
7 1
8 15
9 8
10 41
11 27
12 16
13 44
14 66
15 46

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.

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2026