Ivan Lechner

946 citations
62 papers · 637 · h-index 14

Impact in

Papers in

Ivan Lechner

54 papers receiving 621 citations

Peers

Ivan Lechner
Comparison fields: 5 of 54
  • Cardiology and Cardiovascular Medicine 401
  • Radiology, Nuclear Medicine and Imaging 225
  • Pathology and Forensic Medicine 55
  • Oncology 72
  • Infectious Diseases 27
Replace Magdalena Holzknecht with:
Magdalena Holzknecht Austria
Christina Tiller Austria
Alessandra Scatteia Italy
Kambiz Ghafourian United States
Umberto Conti Italy
Maciej Dąbrowski Poland
Ran Kornowski United States
Takashi Fukunaga Japan
Claudio Moro Italy
Christian F Luecke Germany
Ivan Lechner relative to Magdalena Holzknecht Austria Magdalena Holzknecht's profile →
Citations per field
00.5×1.5×
Magdalena Holzknecht · 1×
Citations per year

Countries citing papers authored by Ivan Lechner

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Lechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201984
2 202051
3 202143
4 202441
5 202033
6 202230
7 201929
8 202129
9 202125
10 202123
11 202021
12 202218
13 202015
14 202315
15 202013
16 202111
17 202311
18 201910
19 202010
20 20219

About Ivan Lechner

Ivan Lechner is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Oncology and Emergency Medicine, having authored 62 papers that have together received 637 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (29 papers), Acute Myocardial Infarction Research (23 papers), Cardiac Valve Diseases and Treatments (8 papers), Cardiac Ischemia and Reperfusion (6 papers), Cardiac tumors and thrombi (6 papers), Cardiovascular Function and Risk Factors (4 papers), Takotsubo Cardiomyopathy and Associated Phenomena (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (401 citations), Radiology, Nuclear Medicine and Imaging (225 citations), Pathology and Forensic Medicine (55 citations), Oncology (72 citations) and Infectious Diseases (27 citations). Ivan Lechner has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Martin Reindl, Sebastian J. Reinstadler, Bernhard Metzler, Magdalena Holzknecht, Axel Bauer, Christina Tiller, Agnes Mayr, Gert Klug, Mathias Pamminger and Johannes P. Schwaiger. Their work appears in journals such as International Journal of Cardiology, European Heart Journal, Clinical Research in Cardiology, Circulation Cardiovascular Imaging and Journal of the American Heart Association.

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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