Daniel C. Sigg

2.0k citations
60 papers · 1.6k · h-index 19

Impact in

Papers in

Daniel C. Sigg

56 papers receiving 1.5k citations

Peers

Daniel C. Sigg
Comparison fields: 5 of 105
  • Cardiology and Cardiovascular Medicine 763
  • Biotechnology 155
  • Critical Care and Intensive Care Medicine 81
  • Emergency Medicine 101
  • Cellular and Molecular Neuroscience 177
Replace Rosana A. Bassani with:
Rosana A. Bassani Brazil
David S. Auerbach United States
Zenon Dionizy Mariak Poland
Robert J. McRitchie Australia
Yasutaka Kurata Japan
Satoru Murao Japan
Wenwei Gao China
Michael Koeppen Germany
Jérôme Robert Switzerland
Marc Rogers United States
Daniel C. Sigg relative to Rosana A. Bassani Brazil Rosana A. Bassani's profile →
Citations per field
00.5×5×11.2×
Rosana A. Bassani · 1×
Citations per year

Countries citing papers authored by Daniel C. Sigg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Sigg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009332
2 2005100
3 202295
4 202276
5 200469
6 201469
7 202366
8 200262
9 200858
10 200552
11 200141
12 201141
13 199932
14 200331
15 201030
16 200129
17 202229
18 202327
19 200623
20 200319

About Daniel C. Sigg

Daniel C. Sigg is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Emergency Medicine, Cellular and Molecular Neuroscience and Biotechnology, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (19 papers), Cardiac Ischemia and Reperfusion (11 papers), Ion channel regulation and function (8 papers), Cardiac Arrhythmias and Treatments (8 papers), Cardiac Arrest and Resuscitation (7 papers), Microbial Inactivation Methods (6 papers), Neuroscience and Neural Engineering (5 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (763 citations), Biotechnology (155 citations), Critical Care and Intensive Care Medicine (81 citations), Emergency Medicine (101 citations) and Cellular and Molecular Neuroscience (177 citations). Daniel C. Sigg has collaborated with scholars based in United States, Slovenia and Ireland. Frequent co-authors include Paul A. Iaizzo, James A. Coles, Yong‐Fu Xiao, Damijan Miklavčič, Atul Verma, Alexander Leaf, Lars M. Mattison, Vinod Kumar Sharma, Birce Önal and Mark T. Stewart. Their work appears in journals such as Circulation Arrhythmia and Electrophysiology, Anesthesiology, American Journal of Physiology-Heart and Circulatory Physiology, The Annals of Thoracic Surgery and Heart Rhythm.

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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