Daniel Sürder

2.1k citations
32 papers · 927 · h-index 15

Impact in

Papers in

Daniel Sürder

32 papers receiving 905 citations

Peers

Daniel Sürder
Comparison fields: 5 of 67
  • Cardiology and Cardiovascular Medicine 576
  • Genetics 76
  • Surgery 229
  • Radiology, Nuclear Medicine and Imaging 84
  • Epidemiology 97
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Cuizhen Pan China
Cándido Martín‐Luengo Spain
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Sürder

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sürder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011221
2 201399
3 201174
4 201164
5 201461
6 201660
7 201145
8 201537
9 200536
10 200929
11
Bone marrow derived stem cells in regenerative medicine as advanced therapy medicinal products.
201027
12
The SYNTAX score predicts early mortality risk in the elderly with acute coronary syndrome having primary PCI.
201126
13 201521
14 199921
15 202019
16 202011
17 201411
18 201710
19 20139
20 20129

About Daniel Sürder

Daniel Sürder is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 927 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Cardiac Valve Diseases and Treatments (6 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Cardiac Imaging and Diagnostics (2 papers), Vascular Procedures and Complications (2 papers), Pluripotent Stem Cells Research (2 papers), Ultrasound in Clinical Applications (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (576 citations), Genetics (76 citations), Surgery (229 citations), Radiology, Nuclear Medicine and Imaging (84 citations) and Epidemiology (97 citations). Daniel Sürder has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Roberto Corti, Jürg Grünenfelder, Tiziano Moccetti, Thomas F. Lüscher, Oliver Gaemperli, Angelo Auricchio, Patric Biaggi, Giovanni Pedrazzini, Robert Manka and Christian Félix. Their work appears in journals such as International Journal of Cardiology, Swiss Medical Weekly, Journal of Translational Medicine, European Heart Journal and Heart.

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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