Daniel Sinnecker

3.5k citations
46 papers · 2.0k indexed · 1 hit paper · h-index 17

Daniel Sinnecker

42 papers receiving 2.0k citations

Hit Papers

Patient-Specific Induced Pluripotent Stem-Cell Models for...8862010202620152020250500750

Peers

Daniel Sinnecker
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 826
  • Cellular and Molecular Neuroscience 602
  • Biophysics 126
  • Molecular Biology 1.5k
  • Structural Biology 12
Replace Eva A. Rog‐Zielinska with:
Eva A. Rog‐Zielinska Germany
Guadalupe Guerrero‐Serna United States
Soichiro Yasuda Japan
Jitandrakumar R. Patel United States
Alessandra Rossini Italy
Andrea Barbuti Italy
Kausalia Vijayaragavan Canada
Judy Trogadis Canada
Daniel P. Fitzsimons United States
Xianming Lin United States
Daniel Sinnecker relative to Eva A. Rog‐Zielinska Germany Eva A. Rog‐Zielinska's profile →
Citations per field
00.5×6.5×
Eva A. Rog‐Zielinska · 1×
Citations per year

Countries citing papers authored by Daniel Sinnecker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sinnecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20220
3 20225
4 20202
5 201939
6 201910
7 20183
8 20178
9 201662
10 201613
11 20164
12 20163
13 20151
14 201512
15 201411
16 201423
17 201467
18 20127
19 201218
20 2011253

About Daniel Sinnecker

Daniel Sinnecker is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Biophysics, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (18 papers), Neuroscience and Neural Engineering (13 papers), Heart Rate Variability and Autonomic Control (13 papers), Pluripotent Stem Cells Research (11 papers), ECG Monitoring and Analysis (7 papers), CRISPR and Genetic Engineering (7 papers), Cardiac pacing and defibrillation studies (5 papers) and Non-Invasive Vital Sign Monitoring (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (826 citations), Cellular and Molecular Neuroscience (602 citations) and Biophysics (126 citations). Daniel Sinnecker has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Alessandra Moretti, Karl‐Ludwig Laugwitz, Alexander Goedel, Tatjana Dorn, Milena Bellin, Jason T. Lam, Christian Billy Jung, Melchior Seyfarth, Franz Hofmann and Andrea Welling. Their work appears in journals such as Frontiers in Physiology, International Journal of Cardiology, Journal of Visualized Experiments, EP Europace and European Heart Journal.

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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