Craig Cornell

1.3k citations
3 papers · 1.1k · 2 hit papers · h-index 3

Impact in

Papers in

Craig Cornell

3 papers receiving 1.0k citations

Craig Cornell's Hit Papers

Allometric Scaling of M-Mode Cardiac Measurements in Normal Adult Dogs 2004 · 563 citations
5630+7+14Years since publication100200300400500

Peers

Craig Cornell
Comparison fields: 5 of 49
  • Radiology, Nuclear Medicine and Imaging 788
  • Equine 41
  • Cardiology and Cardiovascular Medicine 230
  • Epidemiology 199
  • Small Animals 37
Replace A. Vollmar with:
A. Vollmar Germany
François Serres France
Bradley L. Moses United States
Audrey P. Nicolle France
Roberto A. Santilli Italy
S. Crosara Italy
R. Lee Pyle United States
Simon Swift United Kingdom
Yoko Fujii Japan
Domenico Caivano Italy
Craig Cornell relative to A. Vollmar Germany A. Vollmar's profile →
Citations per field
00.5×1.5×
A. Vollmar · 1×
Citations per year

Countries citing papers authored by Craig Cornell

Since Specialization
Citations

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

Fields of papers citing papers by Craig Cornell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig Cornell. 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 Craig Cornell. The network helps show where Craig Cornell may publish in the future.

Co-authors

The 9 scholars most cited alongside Craig Cornell, 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 Craig Cornell Line = papers co-authored together Craig Cornell links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Allometric Scaling of M-Mode Cardiac Measurements in Normal Adult Dogs
Hit paper breakdown →
2004563
2
Allometric Scaling of M-Mode Cardiac Measurements in Normal Adult Dogs
Hit paper breakdown →
2004485
3 200826

About Craig Cornell

Craig Cornell is a scholar working on Radiology, Nuclear Medicine and Imaging, Equine, Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Infectious Diseases, having authored 3 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Conditions and Treatments (3 papers), Veterinary Equine Medical Research (2 papers), Cardiovascular Function and Risk Factors (1 paper) and Animal Nutrition and Physiology (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (788 citations), Equine (41 citations), Cardiology and Cardiovascular Medicine (230 citations), Epidemiology (199 citations) and Small Animals (37 citations). Craig Cornell has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Christophe W. Lombard, Jens Häggström, Mark D. Kittleson, Aaron C. Wey, A. Vollmar, Henrik D. Pedersen, Daniel J. Hall, Sybil L. Crawford and Donald D. Brown. Their work appears in journals such as Journal of Veterinary Internal Medicine and Journal of Veterinary Cardiology.

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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