Can Martin Sag
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Lars S. MaierStefan WagnerAjay M. ShahAnne KöhlerCélio X.C. SantosJohannes BacksMark E. AndersonSamuel Sossalla
- Topics
- Cardiac electrophysiology and arrhythmias (12 papers)Ion channel regulation and function (10 papers)Cardiac Ischemia and Reperfusion (5 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismMolecular Biology
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Can Martin Sag
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Cardiology and Cardiovascular Medicine 643
- Molecular Biology 628
- Surgery 167
- Endocrinology, Diabetes and Metabolism 158
- Pathology and Forensic Medicine 122
Countries citing papers authored by Can Martin Sag
This map shows the geographic impact of Can Martin Sag'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 Can Martin Sag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Martin Sag more than expected).
Fields of papers citing papers by Can Martin Sag
This network shows the impact of papers produced by Can Martin Sag. 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 Can Martin Sag. The network helps show where Can Martin Sag may publish in the future.
Co-authorship network of co-authors of Can Martin Sag
This figure shows the co-authorship network connecting the top 25 collaborators of Can Martin Sag. A scholar is included among the top collaborators of Can Martin Sag based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Can Martin Sag. Can Martin Sag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 11 | |
| 7 | 21 | |
| 8 | 157 | |
| 9 | 33 | |
| 10 | 10 | |
| 11 | 48 | |
| 12 | 42 | |
| 13 | 98 | |
| 14 | 75 | |
| 15 | 36 | |
| 16 | 22 | |
| 17 | 73 | |
| 18 | 81 | |
| 19 | Herzinsuffizienz: Elektromechanische Kopplung bei Herzinsuffizienz und neue Therapieoptionen | 0 |
| 20 | 111 |
About Can Martin Sag
Can Martin Sag is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Molecular Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (12 papers), Ion channel regulation and function (10 papers) and Cardiac Ischemia and Reperfusion (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (643 citations), Endocrinology, Diabetes and Metabolism (158 citations) and Molecular Biology (628 citations). Can Martin Sag has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Lars S. Maier, Stefan Wagner, Ajay M. Shah, Anne Köhler, Célio X.C. Santos, Johannes Backs, Mark E. Anderson, Samuel Sossalla, Stefan Neef and K. Neumann. Their work appears in journals such as Circulation, Circulation Research and Free Radical Biology and Medicine.
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.