R. Schauer

3.2k citations
94 papers · 2.8k · h-index 23

Impact in

Papers in

R. Schauer

92 papers receiving 2.7k citations

Peers

R. Schauer
Comparison fields: 5 of 107
  • Molecular Biology 2.0k
  • Organic Chemistry 788
  • Immunology 502
  • Cell Biology 332
  • Animal Science and Zoology 152
Replace K.‐A. Karlsson with:
K.‐A. Karlsson Sweden
Gerd Reuter Germany
Ossi Renkonen Finland
Alfred Gottschalk Australia
John F. Cipollo United States
Kazuya I.P.J. Hidari Japan
Bruce B. Reinhold United States
Bernadette Coddeville France
Nancy S. Magnuson United States
Elizabeth F. Hounsell United Kingdom
R. Schauer relative to K.‐A. Karlsson Sweden K.‐A. Karlsson's profile →
Citations per field
00.5×2×3×4.1×
K.‐A. Karlsson · 1×
Citations per year

Countries citing papers authored by R. Schauer

Since Specialization
Citations

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

Fields of papers citing papers by R. Schauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sialic acids : chemistry, metabolism and function
1982386
2 1998369
3 1985226
4 1980190
5 1996131
6 198487
7 197886
8 198177
9 200176
10 198562
11 199861
12 197754
13 199553
14 198952
15
Influence of membrane-bound N-acetylneuraminic acid on the survival of erythrocytes in man.
197552
16 199544
17 198943
18 199338
19 199233
20 199330

About R. Schauer

R. Schauer is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Epidemiology and Cell Biology, having authored 94 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (50 papers), Carbohydrate Chemistry and Synthesis (21 papers), Analytical Chemistry and Chromatography (8 papers), Genomics and Phylogenetic Studies (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Trypanosoma species research and implications (6 papers) and Enzyme Production and Characterization (6 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Organic Chemistry (788 citations), Immunology (502 citations), Cell Biology (332 citations) and Animal Science and Zoology (152 citations). R. Schauer has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Christina Traving, Gerd Reuter, A. K. Shukla, Georg Herrler, Anthony P. Corfield, L. Shaw, Riccardo Ghidoni, Guido Tettamanti, Sandro Sonnino and Hans‐Peter Müller. Their work appears in journals such as Biochemical Journal, Parasitology, Biological Chemistry, Biochemical Society Transactions and Hormone and Metabolic Research.

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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