Beat Bigler

17 papers receiving 230 citations

Peers

Beat Bigler
Comparison fields: 5 of 55
  • Immunology and Allergy 75
  • Equine 20
  • Dermatology 80
  • Small Animals 54
  • Parasitology 30
Replace S. V. Bettenay with:
S. V. Bettenay United States
Ellen C. Codner United States
Stefan Hobi Hong Kong
John C. Angus United States
Marcel Kovalik United Kingdom
Nicole Luckschander Switzerland
L. C. Helper United States
Jeanine Peters‐Kennedy United States
Velky Ahumada Colombia
Masaru Natsuaki Japan
Beat Bigler relative to S. V. Bettenay United States S. V. Bettenay's profile →
Citations per field
00.5×1.7×
S. V. Bettenay · 1×
Citations per year

Countries citing papers authored by Beat Bigler

Since Specialization
Citations

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

Fields of papers citing papers by Beat Bigler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200889
2 200141
3 201224
4 198017
5 201316
6 201216
7 20178
8 20087
9 20097
10
[Thyroxine-binding serum proteins in the cat as compared to dog and man].
19766
11 19894
12 20194
13 20082
14
Examinations on the compatibility and efficacy in the epidermal metabolic process and metabolism of benzoyl peroxide in dogs.
19901
15 20071
16 20041
17 20041

About Beat Bigler

Beat Bigler is a scholar working on Infectious Diseases, Surgery, Small Animals, Epidemiology and Rheumatology, having authored 17 papers that have together received 245 indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (3 papers), Dermatological diseases and infestations (3 papers), Metabolism and Genetic Disorders (2 papers), Nail Diseases and Treatments (2 papers), Dermatology and Skin Diseases (2 papers), Leptospirosis research and findings (2 papers), Food Allergy and Anaphylaxis Research (2 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Immunology and Allergy (75 citations), Equine (20 citations), Dermatology (80 citations), Small Animals (54 citations) and Parasitology (30 citations). Beat Bigler has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Keith A. Hnilica, Linda Medleau, S. Wilhelm, Peter H Kook, Petra Roosje, Claudia E Reusch, Claude Favrot, James A. Pfister, A Sewell and Silvia Rüfenacht. Their work appears in journals such as Veterinary Dermatology, Journal of Small Animal Practice, Endoscopy, Journal of Animal Science and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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