Donald G. Ferguson
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Oncology
- Co-authors
- Evangelia G. KraniasClara Franzini‐ArmstrongC Franzini-ArmstrongAnthony H. CaswellNeil R. BrandtGerhard MeissnerHiroshi TakeshimaXinhui Sun
- Topics
- Ion channel regulation and function (21 papers)Cardiac electrophysiology and arrhythmias (16 papers)Cardiomyopathy and Myosin Studies (11 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Donald G. Ferguson
57 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.6k
- Cardiology and Cardiovascular Medicine 1.2k
- Cellular and Molecular Neuroscience 466
- Physiology 243
- Oncology 181
Countries citing papers authored by Donald G. Ferguson
This map shows the geographic impact of Donald G. Ferguson'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 Donald G. Ferguson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald G. Ferguson more than expected).
Fields of papers citing papers by Donald G. Ferguson
This network shows the impact of papers produced by Donald G. Ferguson. 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 Donald G. Ferguson. The network helps show where Donald G. Ferguson may publish in the future.
Co-authorship network of co-authors of Donald G. Ferguson
This figure shows the co-authorship network connecting the top 25 collaborators of Donald G. Ferguson. A scholar is included among the top collaborators of Donald G. Ferguson 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 Donald G. Ferguson. Donald G. Ferguson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 24 | |
| 3 | 53 | |
| 4 | 0 | |
| 5 | 98 | |
| 6 | 13 | |
| 7 | 25 | |
| 8 | 18 | |
| 9 | 25 | |
| 10 | 14 | |
| 11 | Morphological Characterization of a Triad Fraction Highly Enriched in Ryanodine- and DHP-Binding Activity | 1 |
| 12 | 24 | |
| 13 | 98 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 17 | |
| 17 | 43 | |
| 18 | 67 | |
| 19 | Elementary School Guidance Needs Assessment: A Field-Tested Model. | 2 |
| 20 | Pupil personnel services | 7 |
About Donald G. Ferguson
Donald G. Ferguson is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 58 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (21 papers), Cardiac electrophysiology and arrhythmias (16 papers) and Cardiomyopathy and Myosin Studies (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Cellular and Molecular Neuroscience (466 citations) and Molecular Biology (1.6k citations). Donald G. Ferguson has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Evangelia G. Kranias, Clara Franzini‐Armstrong, C Franzini-Armstrong, Anthony H. Caswell, Neil R. Brandt, Gerhard Meissner, Hiroshi Takeshima, Xinhui Sun, Feliciano Protasi and Masayuki Takahashi. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Circulation Research.
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.