Y. Lass
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Sensory Systems top 5%
- Ion Channels and Receptors
Papers in
-
- Adenosine and Purinergic Signaling 6
-
- Neuroscience and Neuropharmacology Research 8
- Co-authors
- Nathan Dascal (10 shared papers)Boaz Gillo (7 shared papers)Emmanuel M. Landau (4 shared papers)Ilana Lotan (6 shared papers)Yoram Oron (4 shared papers)G D Fischbach (2 shared papers)Thomas C. Peter (3 shared papers)Eli S. Gang (3 shared papers)
- Journals
- The Journal of Physiology (9 papers)Cellular and Molecular Life Sciences (3 papers)Pflügers Archiv - European Journal of Physiology (3 papers)Biological Cybernetics (2 papers)Nature (2 papers)
- Partner nations
- IsraelUnited States
In The Last Decade
Y. Lass
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 63
- Physiology 159
- Sensory Systems 127
- Cellular and Molecular Neuroscience 221
- Molecular Biology 767
- Cardiology and Cardiovascular Medicine 192
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-authors
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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 144 | |
| 2 | 1989 | 123 | |
| 3 | 1985 | 117 | |
| 4 | 1987 | 109 | |
| 5 | 1987 | 87 | |
| 6 | 1982 | 83 | |
| 7 | 1986 | 70 | |
| 8 | 1985 | 66 | |
| 9 | 1976 | 53 | |
| 10 | 1978 | 46 | |
| 11 | 1985 | 41 | |
| 12 | 1986 | 38 | |
| 13 | 1973 | 36 | |
| 14 | 1975 | 36 | |
| 15 | 1986 | 35 | |
| 16 | 1978 | 25 | |
| 17 | 1983 | 23 | |
| 18 | 1984 | 22 | |
| 19 | 1974 | 21 | |
| 20 | 1975 | 19 |
About Y. Lass
Y. Lass is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (12 papers), Neuroscience and Neuropharmacology Research (8 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Adenosine and Purinergic Signaling (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Receptor Mechanisms and Signaling (3 papers), Neural dynamics and brain function (3 papers) and Cardiac Arrhythmias and Treatments (2 papers). The work is most often cited by research in Physiology (159 citations), Sensory Systems (127 citations), Cellular and Molecular Neuroscience (221 citations), Molecular Biology (767 citations) and Cardiology and Cardiovascular Medicine (192 citations). Y. Lass has collaborated with scholars based in Israel and United States. Frequent co-authors include Nathan Dascal, Boaz Gillo, Emmanuel M. Landau, Ilana Lotan, Yoram Oron, G D Fischbach, Thomas C. Peter, Eli S. Gang, William J. Mandel and Sasson Cohen. Their work appears in journals such as The Journal of Physiology, Cellular and Molecular Life Sciences, Pflügers Archiv - European Journal of Physiology, Biological Cybernetics and Nature.
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.