Y. Lass
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- Neuroscience and Neural Engineering 15
- Photoreceptor and optogenetics research 6
- Neuroscience and Neuropharmacology Research 6
- Neurobiology and Insect Physiology Research 4
- Aging top 10%
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- Cardiac electrophysiology and arrhythmias 5
- ECG Monitoring and Analysis 3
- Molecular Biology top 10%
- Ion channel regulation and function 16
- Physiology top 10%
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- Neural dynamics and brain function 4
- Co-authors
- Nathan DascalBoaz GilloE M LandauIlana LotanYoram OronG D FischbachWilliam J. MandelThomas Peter
- Journals
- The Journal of Physiology (9 papers)Pflügers Archiv - European Journal of Physiology (3 papers)Cellular and Molecular Life Sciences (3 papers)
- Partner nations
- IsraelUnited States
In The Last Decade
Y. Lass
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 672
- Aging 30
- Cardiology and Cardiovascular Medicine 269
- Molecular Biology 743
- Physiology 48
Countries citing papers authored by Y. Lass
This map shows the geographic impact of Y. Lass'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 Y. Lass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Lass more than expected).
Fields of papers citing papers by Y. Lass
This network shows the impact of papers produced by Y. Lass. 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 Y. Lass. The network helps show where Y. Lass may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Y. Lass, 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 | 1989 | 121 | |
| 2 | 1988 | 9 | |
| 3 | 1987 | 103 | |
| 4 | 1985 | 35 | |
| 5 | 1985 | 110 | |
| 6 | 1985 | 58 | |
| 7 | The Xenopus oocyte--a model system for lipid-mediated activation of neurotransmitter receptors. | 1985 | 7 |
| 8 | 1984 | 22 | |
| 9 | 1983 | 21 | |
| 10 | 1981 | 7 | |
| 11 | 1981 | 6 | |
| 12 | 1979 | 3 | |
| 13 | 1978 | 44 | |
| 14 | 1978 | 23 | |
| 15 | 1976 | 47 | |
| 16 | 1975 | 17 | |
| 17 | 1975 | 28 | |
| 18 | 1975 | 7 | |
| 19 | 1974 | 2 | |
| 20 | 1973 | 34 |
About Y. Lass
Y. Lass is a scholar working on Cellular and Molecular Neuroscience, Bioengineering and Cardiology and Cardiovascular Medicine, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (16 papers), Neuroscience and Neural Engineering (15 papers), Photoreceptor and optogenetics research (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Neural dynamics and brain function (4 papers), Neurobiology and Insect Physiology Research (4 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (672 citations), Aging (30 citations) and Cardiology and Cardiovascular Medicine (269 citations). Y. Lass has collaborated with scholars based in Israel and United States. Frequent co-authors include Nathan Dascal, Boaz Gillo, E M Landau, Ilana Lotan, Yoram Oron, G D Fischbach, William J. Mandel, Thomas Peter, Eli S. Gang and Sasson Cohen. Their work appears in journals such as The Journal of Physiology, Pflügers Archiv - European Journal of Physiology, Cellular and Molecular Life Sciences, Nature and Biological Cybernetics.
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.