Jonathan A. Abbott

56 papers receiving 1.6k citations

Peers

Jonathan A. Abbott
Comparison fields: 5 of 101
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Equine 70
  • Cardiology and Cardiovascular Medicine 825
  • Small Animals 133
  • Epidemiology 534
Replace Carolina Carlos Sampedrano with:
Carolina Carlos Sampedrano France
Vassiliki Gouni France
Audrey P. Nicolle France
Alberto Tarducci Italy
Jean‐Louis Pouchelon France
François Serres France
Bradley L. Moses United States
Wendy A. Ware United States
Marc S. Kraus United States
Janice M. Bright United States
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Citations per year

Countries citing papers authored by Jonathan A. Abbott

Since Specialization
Citations

This map shows the geographic impact of Jonathan A. Abbott'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 Jonathan A. Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan A. Abbott more than expected).

Fields of papers citing papers by Jonathan A. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Abbott. 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 Jonathan A. Abbott. The network helps show where Jonathan A. Abbott may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan A. Abbott, 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 Jonathan A. Abbott Line = papers co-authored together Jonathan A. Abbott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020187
2 2009167
3 2020164
4 2006118
5 2006111
6 201597
7 201673
8 200561
9 201456
10
Pulmonary Hypertension and Cardiovascular Sequelae in 54 Dogs
200456
11 201052
12 200328
13 201325
14 200524
15 200621
16 200320
17 202219
18 201018
19 200618
20 201518

About Jonathan A. Abbott

Jonathan A. Abbott is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine and Surgery, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiovascular Conditions and Treatments (43 papers), Congenital Heart Disease Studies (25 papers), Cardiac Arrhythmias and Treatments (8 papers), Coronary Artery Anomalies (8 papers), Pulmonary Hypertension Research and Treatments (7 papers), Cardiovascular Effects of Exercise (7 papers), Cardiac Valve Diseases and Treatments (7 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Equine (70 citations), Cardiology and Cardiovascular Medicine (825 citations), Small Animals (133 citations) and Epidemiology (534 citations). Jonathan A. Abbott has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Heidi N. MacLean, R. Lee Pyle, Michele Borgarelli, François Elvinger, Jens Häggström, Étienne Côté, Virginia Luis Fuentes, Valérie Chetboul, Joshua A. Stern and Mark D. Kittleson. Their work appears in journals such as Journal of Veterinary Internal Medicine, Journal of Veterinary Cardiology, Veterinary Clinics of North America Small Animal Practice, Journal of the American Veterinary Medical Association and Frontiers in Veterinary Science.

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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