Daniel Quandt

1.1k citations
40 papers · 422 · h-index 12

Impact in

Papers in

Daniel Quandt

37 papers receiving 411 citations

Peers

Daniel Quandt
Comparison fields: 5 of 42
  • Epidemiology 207
  • Pulmonary and Respiratory Medicine 136
  • Hepatology 25
  • Rheumatology 39
  • Immunology 55
Replace Per Ejlstrup Sigvardsen with:
Per Ejlstrup Sigvardsen Denmark
Peter Biesenbach Austria
Cris A. Meyer United States
P. Aitola Finland
Peter Docherty Canada
Timothy M. Winslow United States
Andrew J Wardle United Kingdom
Juan‐Miguel Gil‐Jaurena Spain
Hannah Pitanga‐Lukashok Ecuador
Toshiki Yamaguchi Japan
Daniel Quandt relative to Per Ejlstrup Sigvardsen Denmark Per Ejlstrup Sigvardsen's profile →
Citations per field
00.5×10×14×
Per Ejlstrup Sigvardsen · 1×
Citations per year

Countries citing papers authored by Daniel Quandt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Quandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201055
2 200945
3 201745
4 201743
5 201434
6 201632
7 201431
8 201530
9 201912
10 201712
11 201812
12 201611
13 20188
14 20188
15 20196
16 20175
17 20204
18 20113
19 20123
20 20232

About Daniel Quandt

Daniel Quandt is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 422 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (21 papers), Cardiovascular and Diving-Related Complications (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Coronary Artery Anomalies (3 papers), Aortic Disease and Treatment Approaches (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Viral Infections and Immunology Research (2 papers) and Vascular anomalies and interventions (2 papers). The work is most often cited by research in Epidemiology (207 citations), Pulmonary and Respiratory Medicine (136 citations), Hepatology (25 citations), Rheumatology (39 citations) and Immunology (55 citations). Daniel Quandt has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Oliver Kretschmar, Oliver Stümper, Vinay Bhole, Chetan Mehta, Walter Knirsch, Bharat Ramchandani, Thomas Schraner, Romaine Arlettaz, Hans Ulrich Bucher and David J. Barron. Their work appears in journals such as Journal of Interventional Cardiology, International Journal of Cardiology, Congenital Heart Disease, Catheterization and Cardiovascular Interventions and International Journal of Environmental Research and Public Health.

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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