Beat Althaus

1.4k citations
24 papers · 1.0k · h-index 13

Impact in

Papers in

Beat Althaus

23 papers receiving 960 citations

Peers

Beat Althaus
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 446
  • Hepatology 170
  • Endocrinology 77
  • Infectious Diseases 170
  • Virology 42
Replace Maria H. Sjögren with:
Maria H. Sjögren United States
Tzyy-Choou Wu United States
Kazuo Tobe Japan
Horace H. Zinneman United States
Dinakar Iyer United States
Peter A. Tomasulo United States
G. A. Martini Germany
Stephanie Noviello United States
Zheng Zeng China
Fabrizio Bonelli Italy
Beat Althaus relative to Maria H. Sjögren United States Maria H. Sjögren's profile →
Citations per field
00.5×2.8×
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992260
2 1988206
3 1992114
4 199786
5 199674
6 199463
7 199052
8 199931
9 199231
10 199327
11 198621
12 199518
13 199516
14 198912
15
[Therapy resistance of amiodarone-induced hyperthyroidism].
19886
16 19865
17
[Does isolated TSH elevation need treatment? Study of risk factors for the development of manifest hypothyroidism].
19924
18
[Drug therapy of hyperprolactinemia and acromegaly].
19832
19 20151
20 20081

About Beat Althaus

Beat Althaus is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Hepatology, Epidemiology and Virology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (8 papers), Hepatitis Viruses Studies and Epidemiology (6 papers), HIV Research and Treatment (3 papers), Influenza Virus Research Studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (446 citations), Hepatology (170 citations), Endocrinology (77 citations), Infectious Diseases (170 citations) and Virology (42 citations). Beat Althaus has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Reinhard Glück, J J Staub, Hannes B. Stähelin, H. Engler, Jean-Jacques Staub, D Burckhardt, Jürg Girard, S J Cryz, Bruce D. Weintraub and M Just. Their work appears in journals such as Vaccine, AIDS, Infection and Immunity, Journal of Travel Medicine and Journal of Clinical Investigation.

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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