H. Aupperle

85 papers receiving 1.6k citations

Peers

H. Aupperle
Comparison fields: 5 of 100
  • Equine 206
  • Agronomy and Crop Science 291
  • Cardiology and Cardiovascular Medicine 544
  • Microbiology 136
  • Small Animals 137
Replace Hiroyuki TANIYAMA with:
Hiroyuki TANIYAMA Japan
Amy E. Yeager United States
D Bernoco United States
Barbara E. Powers United States
Ilse Schwendenwein Austria
Yoshiyasu KOBAYASHI Japan
Massimo Castagnaro Italy
Luca Aresu Italy
Ramiro E. Toribio United States
Gary J. Kociba United States
H. Aupperle relative to Hiroyuki TANIYAMA Japan Hiroyuki TANIYAMA's profile →
Citations per field
00.5×6.3×
Hiroyuki TANIYAMA · 1×
Citations per year

Countries citing papers authored by H. Aupperle

Since Specialization
Citations

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

Fields of papers citing papers by H. Aupperle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002132
2 200897
3 201188
4 200767
5 200065
6 200564
7 200751
8 200850
9 201248
10 200047
11 200645
12 201142
13 200741
14 200338
15 200933
16 200732
17 200831
18 200827
19 200827
20 201026

About H. Aupperle

H. Aupperle is a scholar working on Cardiology and Cardiovascular Medicine, Agronomy and Crop Science, Surgery, Pulmonary and Respiratory Medicine and Small Animals, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (16 papers), Veterinary Oncology Research (14 papers), Veterinary Equine Medical Research (13 papers), Cardiovascular Conditions and Treatments (9 papers), Protease and Inhibitor Mechanisms (8 papers), Cardiac Arrhythmias and Treatments (7 papers), Peptidase Inhibition and Analysis (6 papers) and Reproductive System and Pregnancy (6 papers). The work is most often cited by research in Equine (206 citations), Agronomy and Crop Science (291 citations), Cardiology and Cardiovascular Medicine (544 citations), Microbiology (136 citations) and Small Animals (137 citations). H. Aupperle has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Heinz‐Adolf Schoon, I. März, H‐A Schoon, D Schoon, Gerhard Oechtering, Jens Thielebein, Stefan Dhein, Karsten E. Schober, Thomas Walther and Sirilak Disatian. Their work appears in journals such as Journal of Comparative Pathology, Research in Veterinary Science, Journal of Veterinary Cardiology, The Veterinary Journal and The Thoracic and Cardiovascular Surgeon.

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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