Donald G. Ferguson

2.8k citations
58 papers · 2.3k indexed · h-index 25

Donald G. Ferguson

57 papers receiving 2.2k citations

Peers

Donald G. Ferguson
Comparison fields: 5 of 121
  • Cardiology and Cardiovascular Medicine 1.2k
  • Cellular and Molecular Neuroscience 466
  • Molecular Biology 1.6k
  • Sensory Systems 108
  • Endocrine and Autonomic Systems 113
Replace Alessio Masi with:
Alessio Masi Italy
Robert Marsault France
Saı̈d Bendahhou France
Marcela S. Nadal United States
Christopher Ashley United Kingdom
Carles Solsona Spain
Alonso P. Moreno United States
Mauro Pessia Italy
Henry Sackin United States
Daniel J. Urban United States
Donald G. Ferguson relative to Alessio Masi Italy Alessio Masi's profile →
Citations per field
00.5×3.7×
Alessio Masi · 1×
Citations per year

Countries citing papers authored by Donald G. Ferguson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Donald G. Ferguson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Donald G. Ferguson Line = papers co-authored together Donald G. Ferguson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20186
2 200624
3 200553
4 20020
5 200198
6 200013
7 200025
8 199718
9 199725
10 199514
11
Morphological Characterization of a Triad Fraction Highly Enriched in Ryanodine- and DHP-Binding Activity
19941
12 199324
13 199398
14 19911
15 19906
16 198917
17 198843
18 198867
19
Elementary School Guidance Needs Assessment: A Field-Tested Model.
19842
20
Pupil personnel services
19637

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), Cardiomyopathy and Myosin Studies (11 papers), Neuroscience of respiration and sleep (6 papers), Attention Deficit Hyperactivity Disorder (4 papers), Educational and Psychological Assessments (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Neuroendocrine regulation and behavior (3 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.

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