S L Keely
- Molecular Biology top 5%
- Cell Biology top 5%
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Jackie D. CorbinThomas LincolnP H SugdenCharles D. HuffordRaymond W. DoskotchFarouk S. El‐FeralySteven M. SeilerThomas R. Soderling
- Topics
- Ion channel regulation and function (7 papers)Cardiac electrophysiology and arrhythmias (5 papers)Enzyme function and inhibition (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
S L Keely
19 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.3k
- Cell Biology 240
- Physiology 233
- Cardiology and Cardiovascular Medicine 232
- Cellular and Molecular Neuroscience 212
Countries citing papers authored by S L Keely
This map shows the geographic impact of S L Keely'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 S L Keely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S L Keely more than expected).
Fields of papers citing papers by S L Keely
This network shows the impact of papers produced by S L Keely. 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 S L Keely. The network helps show where S L Keely may publish in the future.
Co-authorship network of co-authors of S L Keely
This figure shows the co-authorship network connecting the top 25 collaborators of S L Keely. A scholar is included among the top collaborators of S L Keely 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 S L Keely. S L Keely is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 19 | |
| 3 | 37 | |
| 4 | 37 | |
| 5 | 42 | |
| 6 | 35 | |
| 7 | 281 | |
| 8 | 29 | |
| 9 | 28 | |
| 10 | 172 | |
| 11 | 91 | |
| 12 | The distribution and dissociation of cyclic adenosine 3':5'-monophosphate-dependent protein kinases in adipose, cardiac, and other tissues.breakdown → | 667 |
| 13 | 41 | |
| 14 | Hormonal regulation of adenosine 3',5'-monophosphate-dependent protein kinase. | 33 |
| 15 | 122 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | 20 |
About S L Keely
S L Keely is a scholar working on Biochemistry, Cancer Research and Physiology, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (7 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Enzyme function and inhibition (4 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Physiology (79 citations) and Cell Biology (240 citations). S L Keely has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jackie D. Corbin, Thomas Lincoln, P H Sugden, Charles D. Hufford, Raymond W. Doskotch, Farouk S. El‐Feraly, Steven M. Seiler, Thomas R. Soderling, Robert I. Grove and H.C. Stanton. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.