Maren Haase

586 total citations
10 papers, 389 citations indexed

About

Maren Haase is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Maren Haase has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Maren Haase's work include Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Maren Haase is often cited by papers focused on Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Maren Haase collaborates with scholars based in Germany, Ireland and France. Maren Haase's co-authors include Armin Baiker, Andreas Sing, Ulrich Busch, Hans Nitschko, Ingrid Huber, Christina Rauschhuber, Anja Ehrhardt, Manfred Wildner, Alexandra Dangel and Ute Eberle and has published in prestigious journals such as Human Gene Therapy, Eurosurveillance and Journal of Virological Methods.

In The Last Decade

Maren Haase

9 papers receiving 386 citations

Peers

Maren Haase
Comparison fields: 5 of 68
  • Molecular Biology 248
  • Genetics 170
  • Infectious Diseases 79
  • Cellular and Molecular Neuroscience 56
  • Epidemiology 37
Replace April R. Giles with:
April R. Giles United States
Gokul N. Ramadoss United States
Eileen K. Clancy Canada
Thomas B. Lentz United States
Christina Rauschhuber Germany
Chan-Jung Chang United States
Kalina Draganova Switzerland
Alexandre D. Baffet France
Thorsten Lamla Germany
Valentina Krendelchtchikova United States
April R. Giles United States View profile →
Citations per field, relative to Maren Haase
Maren Haase · 1×
Citations per year, relative to Maren Haase
Maren Haase · 1×

Countries citing papers authored by Maren Haase

Since Specialization
Citations

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

Fields of papers citing papers by Maren Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maren Haase

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 34
2 0
3 13
4 3
5 2
6 1
7 3
8 1
9 325
10 7

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