Peer Stehling

562 total citations
9 papers, 470 citations indexed

About

Peer Stehling is a scholar working on Molecular Biology, Organic Chemistry and Genetics. According to data from OpenAlex, Peer Stehling has authored 9 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Genetics. Recurrent topics in Peer Stehling's work include Glycosylation and Glycoproteins Research (6 papers), Virus-based gene therapy research (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Peer Stehling is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Virus-based gene therapy research (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Peer Stehling collaborates with scholars based in Germany and United Kingdom. Peer Stehling's co-authors include Werner Reutter, Michael Pawlita, Markus Herrmann, Oliver T. Keppler, Detlef Grunow, Holger Kayser, C.-W. von der Lieth, Rüdiger Horstkorte, Jutta Schnitzer and Carolin Schmidt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Peer Stehling

9 papers receiving 462 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peer Stehling Germany 8 403 216 107 82 69 9 470
Detlef Grunow Germany 11 575 1.4× 296 1.4× 95 0.9× 82 1.0× 116 1.7× 18 667
Robert A. Pon Canada 12 280 0.7× 169 0.8× 100 0.9× 87 1.1× 72 1.0× 21 461
Friedrich Freiberger Germany 12 369 0.9× 118 0.5× 110 1.0× 83 1.0× 57 0.8× 16 512
Rainer Isecke Germany 9 306 0.8× 177 0.8× 99 0.9× 24 0.3× 78 1.1× 10 386
S Hirani United States 9 308 0.8× 141 0.7× 172 1.6× 33 0.4× 76 1.1× 10 516
Mary C. Beranek United States 12 443 1.1× 142 0.7× 197 1.8× 30 0.4× 81 1.2× 13 627
Mindy Porterfield United States 9 458 1.1× 111 0.5× 138 1.3× 43 0.5× 35 0.5× 9 520
Lan‐Yi Chang Taiwan 10 474 1.2× 177 0.8× 203 1.9× 36 0.4× 49 0.7× 16 614
Motohiro Nonaka Japan 14 316 0.8× 70 0.3× 190 1.8× 54 0.7× 75 1.1× 34 488
Subha Sundaram United States 13 516 1.3× 176 0.8× 166 1.6× 23 0.3× 122 1.8× 17 574

Countries citing papers authored by Peer Stehling

Since Specialization
Citations

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

Fields of papers citing papers by Peer Stehling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peer Stehling

This figure shows the co-authorship network connecting the top 25 collaborators of Peer Stehling. A scholar is included among the top collaborators of Peer Stehling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peer Stehling. Peer Stehling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
2.
Stehling, Peer, et al.. (1999). In Vivo Modulation of the Acidic N-Glycans from Rat Liver Dipeptidyl Peptidase IV by N-Propanoyl-d-mannosamine. Biochemical and Biophysical Research Communications. 263(1). 76–80. 10 indexed citations
3.
Stehling, Peer, Martin Gohlke, Rudolf Fitzner, & Werner Reutter. (1998). Rapid analysis of O-acetylated neuraminic acids by matrix assisted laser desorption/ionization time-of-flight mass spectrometry. Glycoconjugate Journal. 15(4). 339–344. 22 indexed citations
4.
Schmidt, Carolin, Peer Stehling, Jutta Schnitzer, Werner Reutter, & Rüdiger Horstkorte. (1998). Biochemical Engineering of Neural Cell Surfaces by the SyntheticN-Propanoyl-substituted Neuraminic Acid Precursor. Journal of Biological Chemistry. 273(30). 19146–19152. 74 indexed citations
5.
Keppler, Oliver T., Markus Herrmann, C.-W. von der Lieth, et al.. (1998). Elongation of theN-Acyl Side Chain of Sialic Acids in MDCK II Cells Inhibits Influenza A Virus Infection. Biochemical and Biophysical Research Communications. 253(2). 437–442. 38 indexed citations
6.
Herrmann, Markus, C.-W. von der Lieth, Peer Stehling, Werner Reutter, & Michael Pawlita. (1997). Consequences of a subtle sialic acid modification on the murine polyomavirus receptor. Journal of Virology. 71(8). 5922–5931. 53 indexed citations
7.
Schumacher, Udo, et al.. (1996). Is the lectin binding pattern of human breast and colon cancer cells influenced by modulators of sialic acid metabolism?. Histochemistry and Cell Biology. 106(6). 599–604. 7 indexed citations
8.
Stehling, Peer, et al.. (1996). In vivo modulated N‐acyl side chain of N‐acetylneuraminic acid modulates the cell contact‐dependent inhibition of growth. FEBS Letters. 395(2-3). 170–173. 38 indexed citations
9.
Keppler, Oliver T., Peer Stehling, Markus Herrmann, et al.. (1995). Biosynthetic Modulation of Sialic Acid-dependent Virus-Receptor Interactions of Two Primate Polyoma Viruses. Journal of Biological Chemistry. 270(3). 1308–1314. 147 indexed citations

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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