Mary E. Shuck
Impact in
- Physiology top 1%
- Alzheimer's disease research and treatments
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Ion channel regulation and function 5
- Ion Transport and Channel Regulation 2
- RNA and protein synthesis mechanisms 2
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- Cardiac electrophysiology and arrhythmias 3
- Co-authors
- Michael J. Bienkowski (7 shared papers)Riqiang Yan (2 shared papers)Alfredo G. Tomasselli (2 shared papers)Mark E. Gurney (1 shared paper)Allen E. Buhl (1 shared paper)Adele M. Pauley (1 shared paper)John R. Brashler (1 shared paper)Huiyi Miao (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Gene (2 papers)Nature (1 paper)American Journal of Physiology-Cell Physiology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Mary E. Shuck
11 papers receiving 1.8k citations
Mary E. Shuck's Hit Papers
Peers
Comparison fields: 5 of 86
- Physiology 1.1k
- Pharmacology 453
- Computational Theory and Mathematics 350
- Cellular and Molecular Neuroscience 284
- Molecular Biology 999
Countries citing papers authored by Mary E. Shuck
This map shows the geographic impact of Mary E. Shuck'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 Mary E. Shuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary E. Shuck more than expected).
Fields of papers citing papers by Mary E. Shuck
This network shows the impact of papers produced by Mary E. Shuck. 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 Mary E. Shuck. The network helps show where Mary E. Shuck may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary E. Shuck, 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 | Membrane-anchored aspartyl protease with Alzheimer's disease β-secretase activity Hit paper breakdown → | 1999 | 1176 |
| 2 | 1995 | 168 | |
| 3 | 2001 | 137 | |
| 4 | 1997 | 93 | |
| 5 | 1994 | 91 | |
| 6 | 1995 | 87 | |
| 7 | 1997 | 40 | |
| 8 | 1991 | 14 | |
| 9 | 1997 | 13 | |
| 10 | 1993 | 4 | |
| 11 | 2009 | 4 |
About Mary E. Shuck
Mary E. Shuck is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Oncology and Immunology, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Alzheimer's disease research and treatments (2 papers), Ion Transport and Channel Regulation (2 papers), Immunotherapy and Immune Responses (2 papers), Immune Response and Inflammation (2 papers), RNA and protein synthesis mechanisms (2 papers) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Physiology (1.1k citations), Pharmacology (453 citations), Computational Theory and Mathematics (350 citations), Cellular and Molecular Neuroscience (284 citations) and Molecular Biology (999 citations). Mary E. Shuck has collaborated with scholars based in United States and Russia. Frequent co-authors include Michael J. Bienkowski, Riqiang Yan, Alfredo G. Tomasselli, Mark E. Gurney, Allen E. Buhl, Adele M. Pauley, John R. Brashler, Huiyi Miao, L. Parodi and W. Rodney Mathews. Their work appears in journals such as Journal of Biological Chemistry, Gene, Nature, American Journal of Physiology-Cell Physiology and The Journal of Immunology.
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.