A. Schauer

133 papers receiving 2.7k citations

Peers

A. Schauer
Comparison fields: 5 of 115
  • Urology 150
  • Oncology 649
  • Obstetrics and Gynecology 160
  • Reproductive Medicine 177
  • Cancer Research 297
Replace H.-E. Stegner with:
H.-E. Stegner Germany
Subodh M. Lele United States
C. H. W. Horne United Kingdom
Nicolas Wernert Germany
Marius Nap Netherlands
Tang‐Yuan Chu Taiwan
Michael J. Droller United States
Ellen C. Zwarthoff Netherlands
Kalle Alanen Finland
Ahmed Shabaik United States
A. Schauer relative to H.-E. Stegner Germany H.-E. Stegner's profile →
Citations per field
00.5×4.8×
H.-E. Stegner · 1×
Citations per year

Countries citing papers authored by A. Schauer

Since Specialization
Citations

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

Fields of papers citing papers by A. Schauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Antibodies to different intermediate filament proteins. Cell type-specific markers on paraffin-embedded human tissues.
1981196
2 1989174
3 1990162
4 2001119
5 1982101
6 196890
7
Antibodies to intermediate filaments as diagnostic tools: human gastrointestinal carcinomas express prekeratin.
198278
8 198377
9 198974
10 199473
11 198273
12 196873
13 199766
14 199653
15 199549
16 197643
17 196942
18 199042
19 199739
20 199739

About A. Schauer

A. Schauer is a scholar working on Molecular Biology, Oncology, Surgery, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 144 papers that have together received 2.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (10 papers), Breast Cancer Treatment Studies (10 papers), HER2/EGFR in Cancer Research (10 papers), Bladder and Urothelial Cancer Treatments (10 papers), Polyamine Metabolism and Applications (9 papers), Urinary and Genital Oncology Studies (7 papers) and Amino Acid Enzymes and Metabolism (6 papers). The work is most often cited by research in Urology (150 citations), Oncology (649 citations), Obstetrics and Gynecology (160 citations), Reproductive Medicine (177 citations) and Cancer Research (297 citations). A. Schauer has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include E. Kunze, M. Altmannsberger, Mary Osborn, K Weber, R. Osmers, James C. Paulson, Jasminder Weinstein, D Marx, Ulrich Brinck and M Korabiowska. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Die Naturwissenschaften, Journal of Molecular Medicine, Langenbeck s Archives of Surgery and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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