Daniel D. Anselm
Impact in
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- Cardiac electrophysiology and arrhythmias
- ECG Monitoring and Analysis
- Cardiac Arrhythmias and Treatments
- Cardiac pacing and defibrillation studies
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- Ion channel regulation and function
Papers in
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- Cardiac electrophysiology and arrhythmias 10
- ECG Monitoring and Analysis 7
- Cardiac Arrhythmias and Treatments 2
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- Ion channel regulation and function 5
- Co-authors
- Adrián Baranchuk (12 shared papers)Andrés Ricardo Pérez‐Riera (4 shared papers)Javier García‐Niebla (4 shared papers)Antoni Bayés de Luna (3 shared papers)Raimundo Barbosa‐Barros (1 shared paper)Arthur A.M. Wilde (1 shared paper)Josép Brugada (1 shared paper)Hanno L. Tan (1 shared paper)
In The Last Decade
Daniel D. Anselm
15 papers receiving 223 citations
Peers
Comparison fields: 5 of 24
- Cardiology and Cardiovascular Medicine 192
- Molecular Biology 109
- Internal Medicine 5
- Radiology, Nuclear Medicine and Imaging 15
- Electrochemistry 4
Countries citing papers authored by Daniel D. Anselm
This map shows the geographic impact of Daniel D. Anselm'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 D. Anselm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Anselm more than expected).
Fields of papers citing papers by Daniel D. Anselm
This network shows the impact of papers produced by Daniel D. Anselm. 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 D. Anselm. The network helps show where Daniel D. Anselm may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel D. Anselm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 54 | |
| 2 | 2015 | 38 | |
| 3 | 2014 | 33 | |
| 4 | 2013 | 28 | |
| 5 | 2017 | 18 | |
| 6 | 2013 | 15 | |
| 7 | 2015 | 14 | |
| 8 | 2011 | 13 | |
| 9 | 2015 | 10 | |
| 10 | 2012 | 3 | |
| 11 | 2016 | 2 | |
| 12 | VERBESSERUNG EINES MATHEMATISCHEN AUTOSITZ-MODELLS BEZUEGLICH FEDERKENNLINIEN UND REIBUNG | 1975 | 1 |
| 13 | 2013 | 1 | |
| 14 | 2015 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2015 | 1 |
About Daniel D. Anselm
Daniel D. Anselm is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Rehabilitation and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 233 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), ECG Monitoring and Analysis (7 papers), Ion channel regulation and function (5 papers), Cardiac Arrhythmias and Treatments (2 papers), Musicians’ Health and Performance (1 paper), Potassium and Related Disorders (1 paper), Pectus Deformity Diagnosis and Treatment (1 paper) and Congenital Anomalies and Fetal Surgery (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (192 citations), Molecular Biology (109 citations), Internal Medicine (5 citations), Radiology, Nuclear Medicine and Imaging (15 citations) and Electrochemistry (4 citations). Daniel D. Anselm has collaborated with scholars based in Canada, Spain and Brazil. Frequent co-authors include Adrián Baranchuk, Andrés Ricardo Pérez‐Riera, Javier García‐Niebla, Antoni Bayés de Luna, Raimundo Barbosa‐Barros, Arthur A.M. Wilde, Josép Brugada, Hanno L. Tan, Pieter G. Postema and Pedro Brugada. Their work appears in journals such as Annals of Noninvasive Electrocardiology, Canadian Journal of Cardiology, Journal of Nuclear Cardiology, EP Europace and The American Journal of Cardiology.
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.