Markus Aswendt

1.5k citations
51 papers · 1.1k · h-index 21

Impact in

Papers in

Markus Aswendt

50 papers receiving 1.1k citations

Peers

Markus Aswendt
Comparison fields: 5 of 105
  • Neurology 270
  • Developmental Neuroscience 115
  • Biophysics 104
  • Cellular and Molecular Neuroscience 218
  • Radiology, Nuclear Medicine and Imaging 217
Replace Anna Letizia Allegra Mascaro with:
Anna Letizia Allegra Mascaro Italy
Athanasios Lourbopoulos Greece
JA Chuckowree Australia
Jeffrey H. Boatright United States
Hanzhi Zhao United States
Albrecht Stroh Germany
Na Pan China
Patrick Schweder New Zealand
Geert J. Schenk Netherlands
Gabriel Luna United States
Markus Aswendt relative to Anna Letizia Allegra Mascaro Italy Anna Letizia Allegra Mascaro's profile →
Citations per field
00.5×3.6×
Anna Letizia Allegra Mascaro · 1×
Citations per year

Countries citing papers authored by Markus Aswendt

Since Specialization
Citations

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

Fields of papers citing papers by Markus Aswendt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Aswendt, 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 Markus Aswendt Line = papers co-authored together Markus Aswendt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201964
3 201358
4 201748
5 201346
6 201945
7 201339
8 201538
9 201838
10 201535
11 202133
12 201931
13 201931
14 201430
15 201629
16 202327
17 201626
18 202025
19 201623
20 201420

About Markus Aswendt

Markus Aswendt is a scholar working on Cellular and Molecular Neuroscience, Neurology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Advanced MRI Techniques and Applications (10 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Functional Brain Connectivity Studies (9 papers), Cell Image Analysis Techniques (6 papers), Neuroscience and Neural Engineering (6 papers), bioluminescence and chemiluminescence research (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). The work is most often cited by research in Neurology (270 citations), Developmental Neuroscience (115 citations), Biophysics (104 citations), Cellular and Molecular Neuroscience (218 citations) and Radiology, Nuclear Medicine and Imaging (217 citations). Markus Aswendt has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Mathias Hoehn, Joanna Adamczak, Annette Tennstaedt, Gereon R. Fink, Gary K. Steinberg, Michelle Cheng, Sébastien Couillard‐Després, Clemens W.G.M. Löwik, Dirk Wiedermann and Christoph Leuze. Their work appears in journals such as NeuroImage, Journal of Visualized Experiments, Molecular Imaging and Biology, Experimental Neurology and Biomaterials.

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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