Beat Althaus

1.4k citations
22 papers · 1.2k · h-index 14

Impact in

Papers in

Beat Althaus

21 papers receiving 1.0k citations

Peers

Beat Althaus
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 458
  • Hepatology 194
  • Endocrinology 91
  • Virology 55
  • Epidemiology 316
Replace Maria H. Sjögren with:
Maria H. Sjögren United States
Kazem Kazempour United States
Tzyy-Choou Wu United States
J. A. Carnie United Kingdom
Kazuo Tobe Japan
Peter A. Tomasulo United States
Carmelo Iacobello Italy
Fabrizio Bonelli Italy
J Wilczyński Poland
J. F. Boyd United Kingdom
Beat Althaus relative to Maria H. Sjögren United States Maria H. Sjögren's profile →
Citations per field
00.5×2×2.7×
Maria H. Sjögren · 1×
Citations per year

Countries citing papers authored by Beat Althaus

Since Specialization
Citations

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

Fields of papers citing papers by Beat Althaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992268
2 1988214
3 1992138
4 199797
5 199687
6 199475
7 199069
8 199938
9 199233
10 199330
11 198622
12 199522
13 199520
14 198719
15 198913
16
[Therapy resistance of amiodarone-induced hyperthyroidism].
19887
17 19865
18
[Drug therapy of hyperprolactinemia and acromegaly].
19832
19 20102
20 20151

About Beat Althaus

Beat Althaus is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism, Virology, Infectious Diseases and Endocrinology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (6 papers), Thyroid Disorders and Treatments (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Influenza Virus Research Studies (3 papers), HIV Research and Treatment (3 papers), Escherichia coli research studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (458 citations), Hepatology (194 citations), Endocrinology (91 citations), Virology (55 citations) and Epidemiology (316 citations). Beat Althaus has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Reinhard Glück, J J Staub, [email protected] staehelin, SJ Jr Cryz, Max Just, Hanna Engler, Jean-Jacques Staub, Jürg Girard, Bruce D. Weintraub and DIETER BURCKHARDT. Their work appears in journals such as Vaccine, AIDS, Annals of the New York Academy of Sciences, Infection and Immunity and Clinica Chimica Acta.

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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