Andreas Heß
Impact in
- Biomaterials top 1%
- Electrospun Nanofibers in Biomedical Applications
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- Neuroscience and Neuropharmacology Research
Papers in
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- Functional Brain Connectivity Studies 16
- Neural dynamics and brain function 10
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- Advanced MRI Techniques and Applications 15
- Medical Imaging Techniques and Applications 10
- Co-authors
- Kay Brune (13 shared papers)Nicholas Kushmerick (8 shared papers)Georg Schett (15 shared papers)Henning Scheich (11 shared papers)Luboš Budinský (7 shared papers)Michael Didié (3 shared papers)Wolfram‐Hubertus Zimmermann (3 shared papers)Gerald Wasmeier (2 shared papers)
In The Last Decade
Andreas Heß
162 papers receiving 5.6k citations
Andreas Heß's Hit Papers
Peers
Comparison fields: 5 of 186
- Biomaterials 969
- Cellular and Molecular Neuroscience 647
- Rheumatology 474
- Surgery 1.3k
- Biological Psychiatry 73
Countries citing papers authored by Andreas Heß
This map shows the geographic impact of Andreas Heß'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 Andreas Heß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Heß more than expected).
Fields of papers citing papers by Andreas Heß
This network shows the impact of papers produced by Andreas Heß. 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 Andreas Heß. The network helps show where Andreas Heß may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Heß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Engineered heart tissue grafts improve systolic and diastolic function in infarcted rat hearts Hit paper breakdown → | 2006 | 820 |
| 2 | 2008 | 369 | |
| 3 | 2011 | 287 | |
| 4 | 2007 | 247 | |
| 5 | 2010 | 232 | |
| 6 | 2002 | 230 | |
| 7 | 2006 | 185 | |
| 8 | 2010 | 174 | |
| 9 | 2004 | 150 | |
| 10 | 2003 | 141 | |
| 11 | 2015 | 118 | |
| 12 | 2010 | 108 | |
| 13 | 2012 | 93 | |
| 14 | 2013 | 93 | |
| 15 | 2002 | 90 | |
| 16 | 2000 | 90 | |
| 17 | 2006 | 82 | |
| 18 | 2009 | 78 | |
| 19 | 2014 | 74 | |
| 20 | 2006 | 74 |
About Andreas Heß
Andreas Heß is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Sociology and Political Science, Molecular Biology and Artificial Intelligence, having authored 174 papers that have together received 5.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Advanced MRI Techniques and Applications (15 papers), Medical Image Segmentation Techniques (11 papers), Bone Metabolism and Diseases (10 papers), Pain Mechanisms and Treatments (10 papers), Medical Imaging Techniques and Applications (10 papers), Neural dynamics and brain function (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Biomaterials (969 citations), Cellular and Molecular Neuroscience (647 citations), Rheumatology (474 citations), Surgery (1.3k citations) and Biological Psychiatry (73 citations). Andreas Heß has collaborated with scholars based in Germany, Ireland and Austria. Frequent co-authors include Kay Brune, Nicholas Kushmerick, Georg Schett, Henning Scheich, Luboš Budinský, Michael Didié, Wolfram‐Hubertus Zimmermann, Gerald Wasmeier, Ivan Melnychenko and Thomas Eschenhagen. Their work appears in journals such as NeuroImage, PLoS ONE, Neuroreport, Global Intellectual History and Scientific Reports.
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.