B. Hauser

56 papers receiving 1.0k citations

Peers

B. Hauser
Comparison fields: 5 of 104
  • Small Animals 146
  • Environmental Chemistry 183
  • Equine 18
  • Pulmonary and Respiratory Medicine 283
  • Microbiology 57
Replace F. Y. Schulman with:
F. Y. Schulman United States
Michael M. Fry United States
Jennifer Woo United States
Daniel F. Cowan United States
Christiane Girard Canada
Philippe Labelle United States
F. Coignoul Belgium
Michelle M. Dennis United States
H. Craig Morton Norway
Paul C. Stromberg United States
B. Hauser relative to F. Y. Schulman United States F. Y. Schulman's profile →
Citations per field
00.5×10.2×
F. Y. Schulman · 1×
Citations per year

Countries citing papers authored by B. Hauser

Since Specialization
Citations

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

Fields of papers citing papers by B. Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997202
2 199869
3 200665
4 199061
5 199961
6 199750
7 200550
8 199641
9 200840
10 198939
11 200131
12 200325
13 200024
14 200724
15 200424
16 198323
17 200722
18 200321
19 199816
20 198616

About B. Hauser

B. Hauser is a scholar working on Pulmonary and Respiratory Medicine, Small Animals, Epidemiology, Oncology and Surgery, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Veterinary Oncology Research (15 papers), Herpesvirus Infections and Treatments (6 papers), Veterinary Medicine and Surgery (5 papers), Vector-Borne Animal Diseases (4 papers), Myasthenia Gravis and Thymoma (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Veterinary Orthopedics and Neurology (3 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Small Animals (146 citations), Environmental Chemistry (183 citations), Equine (18 citations), Pulmonary and Respiratory Medicine (283 citations) and Microbiology (57 citations). B. Hauser has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Barbara Kaser‐Hotz, Hanspeter Naegeli, Hans Rudolf Preisig, Kurt Hanselmann, Konstanze Mez, Kenneth L. Beattie, Geoffrey A. Codd, Claudia E Reusch, Pierre Arnold and Mathias Ackermann. Their work appears in journals such as Journal of Small Animal Practice, Journal of Comparative Pathology, Journal of Veterinary Internal Medicine, Veterinary Dermatology and Veterinary Ophthalmology.

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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