Howard S. Young
- Molecular Biology top 5%
- Ion channel regulation and function 37
- Ion Transport and Channel Regulation 14
- ATP Synthase and ATPases Research 9
- Lipid Membrane Structure and Behavior 8
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- Cardiac electrophysiology and arrhythmias 21
- Cardiomyopathy and Myosin Studies 8
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 7
- Structural Biology top 10%
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- Neurological diseases and metabolism 6
- Co-authors
- Catharine A. TrieberDavid L. StokesTom A. BitherP.C. DonohueM. Joanne LemieuxDelaine K. CeholskiKarine MoncoqOvidiu C. Andronesi
- Cited by
- Molecular BiologyCardiology and Cardiovascular MedicineComputational Theory and Mathematics
- Journals
- Science (1 paper)Journal of the American Chemical Society (3 papers)Journal of Biological Chemistry (17 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Howard S. Young
100 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 151
- Molecular Biology 2.1k
- Cardiology and Cardiovascular Medicine 612
- Computational Theory and Mathematics 361
- Infectious Diseases 358
- Structural Biology 26
Countries citing papers authored by Howard S. Young
This map shows the geographic impact of Howard S. Young'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 Howard S. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard S. Young more than expected).
Fields of papers citing papers by Howard S. Young
This network shows the impact of papers produced by Howard S. Young. 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 Howard S. Young. The network helps show where Howard S. Young may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Howard S. Young, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 25 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 340 | |
| 8 | 2019 | 26 | |
| 9 | 2018 | 127 | |
| 10 | 2017 | 29 | |
| 11 | 2017 | 21 | |
| 12 | 2013 | 11 | |
| 13 | 2012 | 46 | |
| 14 | 2012 | 4 | |
| 15 | 2011 | 82 | |
| 16 | 2010 | 49 | |
| 17 | 2004 | 36 | |
| 18 | 1997 | 54 | |
| 19 | 1996 | 21 | |
| 20 | 1988 | 22 |
About Howard S. Young
Howard S. Young is a scholar working on Structural Biology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 107 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (37 papers), Cardiac electrophysiology and arrhythmias (21 papers), Ion Transport and Channel Regulation (14 papers), ATP Synthase and ATPases Research (9 papers), Cardiomyopathy and Myosin Studies (8 papers), Lipid Membrane Structure and Behavior (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Neurological diseases and metabolism (6 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cardiology and Cardiovascular Medicine (612 citations) and Computational Theory and Mathematics (361 citations). Howard S. Young has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Catharine A. Trieber, David L. Stokes, Tom A. Bither, P.C. Donohue, M. Joanne Lemieux, Delaine K. Ceholski, Karine Moncoq, Ovidiu C. Andronesi, Marc Baldus and Karsten Seidel. Their work appears in journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.