Mathias Possner

1.3k citations
43 papers · 775 · h-index 18

Impact in

Papers in

Mathias Possner

40 papers receiving 769 citations

Peers

Mathias Possner
Comparison fields: 5 of 38
  • Radiology, Nuclear Medicine and Imaging 300
  • Cardiology and Cardiovascular Medicine 220
  • Epidemiology 210
  • Pulmonary and Respiratory Medicine 189
  • Surgery 168
Replace Kanishka Ratnayaka with:
Kanishka Ratnayaka United States
Shabana Shahanavaz United States
Zdenka Reinhardt United Kingdom
Jae Kon Ko South Korea
Kim Terp Denmark
Jyothy Puthumana United States
Fran Mikulicic Switzerland
Annika Schuhbaeck Germany
Edgard A. Prihadi Netherlands
Brian H. Morray United States
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Citations per field
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Citations per year

Countries citing papers authored by Mathias Possner

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Possner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201461
2 201945
3 201744
4 201643
5 201643
6 201643
7 202036
8 201534
9 201531
10 201431
11 201627
12 202026
13 201726
14 201526
15 201525
16 202322
17 201420
18 201620
19 201717
20 201914

About Mathias Possner

Mathias Possner is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery, having authored 43 papers that have together received 775 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (12 papers), Cardiac Imaging and Diagnostics (9 papers), Coronary Artery Anomalies (6 papers), Cardiac Valve Diseases and Treatments (5 papers), Cardiovascular Function and Risk Factors (4 papers), Advanced X-ray and CT Imaging (3 papers), Cardiovascular Disease and Adiposity (3 papers) and Cardiac Arrhythmias and Treatments (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (300 citations), Cardiology and Cardiovascular Medicine (220 citations), Epidemiology (210 citations), Pulmonary and Respiratory Medicine (189 citations) and Surgery (168 citations). Mathias Possner has collaborated with scholars based in Switzerland, United States and Saudi Arabia. Frequent co-authors include Philipp A. Kaufmann, Ronny R. Buechel, Olivier Clerc, Julia Stehli, Tobias A. Fuchs, Oliver Gaemperli, Christoph Gräni, Dominik C. Benz, Aju P. Pazhenkottil and Fran Mikulicic. Their work appears in journals such as International Journal of Cardiology, European Heart Journal - Cardiovascular Imaging, Journal of the American College of Cardiology, Journal of Nuclear Cardiology and International journal of cardiac 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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