Michael Schauer

12 papers receiving 646 citations

Peers

Michael Schauer
Comparison fields: 5 of 106
  • Hepatology 127
  • Virology 62
  • Genetics 223
  • Behavioral Neuroscience 21
  • Endocrinology, Diabetes and Metabolism 92
Replace Florinda Battaglia with:
Florinda Battaglia Italy
Garrick K. Wilson United Kingdom
Gary A. Bulla United States
Nobuaki Toyoda Japan
Miriam H. Feuerman United States
E K Gao United States
Sylvie Prigent France
Thilo Grötzinger Germany
A.C. Larner United States
Lívia Mayer United States
Michael Schauer relative to Florinda Battaglia Italy Florinda Battaglia's profile →
Citations per field
00.5×10×13.1×
Florinda Battaglia · 1×
Citations per year

Countries citing papers authored by Michael Schauer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1989266
2 2004164
3 199076
4 199269
5 201736
6
RED LIGHT, GREEN LIGHT
200413
7 200710
8 19999
9 19987
10 20226
11 20184
12 20152
13 20211

About Michael Schauer

Michael Schauer is a scholar working on Molecular Biology, Epidemiology, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 13 papers that have together received 663 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (2 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Peptidase Inhibition and Analysis (2 papers), Protease and Inhibitor Mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Hormonal Regulation and Hypertension (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Hepatology (127 citations), Virology (62 citations), Genetics (223 citations), Behavioral Neuroscience (21 citations) and Endocrinology, Diabetes and Metabolism (92 citations). Michael Schauer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Georges Chalepakis, Miguel Beato, Emily P. Slater, Andreas Billich, Xinan Cao, Bodo Brocks, Clark Q. Pan, Barbara Krebs, Stefan Zahn and Paul K. Ng. Their work appears in journals such as DNA and Cell Biology, Clinical Cancer Research, Biochemical and Biophysical Research Communications, European Journal of Pharmaceutics and Biopharmaceutics and Analytical Biochemistry.

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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