H. Aupperle

86 papers receiving 1.7k citations

Peers

H. Aupperle
Comparison fields: 5 of 100
  • Equine 202
  • Agronomy and Crop Science 293
  • Cardiology and Cardiovascular Medicine 459
  • Microbiology 131
  • Small Animals 135
Replace Hiroyuki TANIYAMA with:
Hiroyuki TANIYAMA Japan
Amy E. Yeager United States
D Bernoco United States
Patricia C. Schultheiss United States
Ilse Schwendenwein Austria
Yoshiyasu KOBAYASHI Japan
Barbara E. Powers United States
John M. Kreeger United States
Massimo Castagnaro Italy
Gary J. Kociba United States
H. Aupperle relative to Hiroyuki TANIYAMA Japan Hiroyuki TANIYAMA's profile →
Citations per field
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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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002135
2 2008101
3 201195
4 200775
5 200566
6 200065
7 200752
8 201251
9 200851
10 200051
11 200646
12 200345
13 201144
14 200741
15 200935
16 200735
17 200834
18 201229
19 200827
20 200827

About H. Aupperle

H. Aupperle is a scholar working on Agronomy and Crop Science, Small Animals, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Equine, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (16 papers), Veterinary Oncology Research (13 papers), Veterinary Equine Medical Research (13 papers), Cardiovascular Conditions and Treatments (9 papers), Protease and Inhibitor Mechanisms (8 papers), Reproductive System and Pregnancy (6 papers), Peptidase Inhibition and Analysis (6 papers) and Atrial Fibrillation Management and Outcomes (5 papers). The work is most often cited by research in Equine (202 citations), Agronomy and Crop Science (293 citations), Cardiology and Cardiovascular Medicine (459 citations), Microbiology (131 citations) and Small Animals (135 citations). H. Aupperle has collaborated with scholars based in Germany, United States and Switzerland. 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, The Thoracic and Cardiovascular Surgeon, Journal of Veterinary Cardiology and The Veterinary Journal.

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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