Daniela Haeusler

35 papers receiving 841 citations

Peers

Daniela Haeusler
Comparison fields: 5 of 75
  • Biological Psychiatry 47
  • Physiology 63
  • Behavioral Neuroscience 46
  • Cellular and Molecular Neuroscience 206
  • Cognitive Neuroscience 214
Replace Leonhard‐Key Mien with:
Leonhard‐Key Mien Austria
Saurav Shrestha United States
Ella Hirani United Kingdom
Martin Schain Sweden
Pauline Carter United States
Julia Luthardt Germany
Fuji Yokoi United States
Shreya Luthra United Kingdom
Johanna Ungersboeck Austria
Per Stenkrona Sweden
Daniela Haeusler relative to Leonhard‐Key Mien Austria Leonhard‐Key Mien's profile →
Citations per field
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Leonhard‐Key Mien · 1×
Citations per year

Countries citing papers authored by Daniela Haeusler

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Haeusler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Haeusler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Haeusler Line = papers co-authored together Daniela Haeusler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012169
2 2012104
3 201470
4 201361
5 201457
6 200730
7 201129
8 200728
9 200727
10 201026
11 201226
12 200925
13 201223
14 201322
15 200718
16 201516
17 201513
18 201012
19 201211
20 20129

About Daniela Haeusler

Daniela Haeusler is a scholar working on Physiology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 36 papers that have together received 854 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Medical Imaging Techniques and Applications (6 papers), Adenosine and Purinergic Signaling (6 papers), Functional Brain Connectivity Studies (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Biological Psychiatry (47 citations), Physiology (63 citations), Behavioral Neuroscience (46 citations), Cellular and Molecular Neuroscience (206 citations) and Cognitive Neuroscience (214 citations). Daniela Haeusler has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Markus Mitterhauser, Wolfgang Wadsak, Rupert R. Lanzenberger, Siegfried F. Kasper, Markus Savli, Andreas Hahn, Georg S. Kranz, Johanna Ungersboeck, Cécile Philippe and Robert Dudczak. Their work appears in journals such as Nuclear Medicine and Biology, NeuroImage, Applied Radiation and Isotopes, European Neuropsychopharmacology and European Journal of Nuclear Medicine and Molecular Imaging.

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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