A. Vollmar

14 papers receiving 1.4k citations

Hit Papers

Allometric Scaling of M-Mode Cardiac Measurements in Normal Adult Dogs 2004 · 560 citations
5600+7+14Years since publication100200300400500

Peers

A. Vollmar
Comparison fields: 5 of 61
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Equine 75
  • Cardiology and Cardiovascular Medicine 761
  • Epidemiology 508
  • Small Animals 67
Replace Craig Cornell with:
Craig Cornell United States
June A. Boon United States
Joanna Dukes‐McEwan United Kingdom
Anna Tidholm Sweden
Audrey P. Nicolle France
Michele Borgarelli United States
Alberto Tarducci Italy
François Serres France
Carolina Carlos Sampedrano France
Bradley L. Moses United States
A. Vollmar relative to Craig Cornell United States Craig Cornell's profile →
Citations per field
00.5×1.5×
Craig Cornell · 1×
Citations per year

Countries citing papers authored by A. Vollmar

Since Specialization
Citations

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

Fields of papers citing papers by A. Vollmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside A. Vollmar, 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 A. Vollmar Line = papers co-authored together A. Vollmar links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Allometric Scaling of M-Mode Cardiac Measurements in Normal Adult Dogs
Hit paper breakdown →
2004560
2
Allometric Scaling of M-Mode Cardiac Measurements in Normal Adult Dogs
Hit paper breakdown →
2004483
3 2003166
4 200074
5 201237
6 199927
7 200726
8 201514
9 200712
10 200311
11 20138
12 20086
13 20084
14 19982
15
Die dilatative Kardiomyopathie beim Hund
20021

About A. Vollmar

A. Vollmar is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Molecular Biology, Equine and Animal Science and Zoology, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Conditions and Treatments (14 papers), Cardiomyopathy and Myosin Studies (7 papers), Cardiac Arrhythmias and Treatments (6 papers), Cardiovascular Effects of Exercise (5 papers), Veterinary Equine Medical Research (2 papers), Congenital heart defects research (2 papers), Muscle metabolism and nutrition (1 paper) and Animal Nutrition and Physiology (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Equine (75 citations), Cardiology and Cardiovascular Medicine (761 citations), Epidemiology (508 citations) and Small Animals (67 citations). A. Vollmar has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Jens Häggström, Christophe W. Lombard, Mark D. Kittleson, Aaron C. Wey, Henrik D. Pedersen, Craig Cornell, Michele Borgarelli, Joanna Dukes‐McEwan, Anna Tidholm and O. Distl. Their work appears in journals such as Journal of Veterinary Cardiology, Journal of Veterinary Internal Medicine, Journal of the American Animal Hospital Association, Animal Genetics and Heredity.

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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