Yael Yaniv
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pathology and Forensic Medicine top 5%
- Physiology top 10%
- Co-authors
- Edward G. LakattaSteven J. SollottDmitry B. ZorovHanne NussMagdalena JuhaszovaVictor A. MaltsevJoachim A. BeharAlexey E. Lyashkov
- Topics
- Cardiac electrophysiology and arrhythmias (55 papers)Ion channel regulation and function (23 papers)Neuroscience and Neural Engineering (18 papers)
- Cited by
- Cardiology and Cardiovascular MedicineDevelopmental NeuroscienceCellular and Molecular Neuroscience
- Journals
- Proceedings of the National Academy of SciencesCirculationSHILAP Revista de lepidopterología
- Partner nations
- IsraelUnited StatesJapan
In The Last Decade
Yael Yaniv
85 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 116
- Cardiology and Cardiovascular Medicine 1.1k
- Molecular Biology 926
- Cellular and Molecular Neuroscience 304
- Pathology and Forensic Medicine 299
- Physiology 209
Countries citing papers authored by Yael Yaniv
This map shows the geographic impact of Yael Yaniv'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 Yael Yaniv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yael Yaniv more than expected).
Fields of papers citing papers by Yael Yaniv
This network shows the impact of papers produced by Yael Yaniv. 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 Yael Yaniv. The network helps show where Yael Yaniv may publish in the future.
Co-authorship network of co-authors of Yael Yaniv
This figure shows the co-authorship network connecting the top 25 collaborators of Yael Yaniv. A scholar is included among the top collaborators of Yael Yaniv 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 Yael Yaniv. Yael Yaniv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 22 | |
| 5 | 32 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 34 | |
| 9 | 0 | |
| 10 | Automatic detection of atrial fibrillation | 3 |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | 16 | |
| 16 | 51 | |
| 17 | 27 | |
| 18 | 54 | |
| 19 | 44 | |
| 20 | 11 |
About Yael Yaniv
Yael Yaniv is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (55 papers), Ion channel regulation and function (23 papers) and Neuroscience and Neural Engineering (18 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Developmental Neuroscience (69 citations) and Cellular and Molecular Neuroscience (304 citations). Yael Yaniv has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include Edward G. Lakatta, Steven J. Sollott, Dmitry B. Zorov, Hanne Nuss, Magdalena Juhaszova, Victor A. Maltsev, Joachim A. Behar, Alexey E. Lyashkov, Bruce D. Ziman and Su Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.
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.