René Ranzinger

3.3k citations
30 papers · 1.4k · h-index 18

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 29
    • Genomics and Phylogenetic Studies 21
    • Biomedical Text Mining and Ontologies 5
    • Carbohydrate Chemistry and Synthesis 16

René Ranzinger

27 papers receiving 1.4k citations

Peers

René Ranzinger
Comparison fields: 5 of 95
  • Organic Chemistry 662
  • Molecular Biology 1.3k
  • Spectroscopy 234
  • Cell Biology 127
  • Biotechnology 60
Replace Chien‐Tai Ren with:
Chien‐Tai Ren Taiwan
Noboru Tomiya United States
Ruixiang Blake Zheng Canada
Frédéric Chirat France
Julien Mariethoz Switzerland
Ursula Dąbrowski Germany
J E Oates United Kingdom
Sabina Gerber Switzerland
Gerardo Álvarez-Manilla United States
Reggy Ekkebus Netherlands
René Ranzinger relative to Chien‐Tai Ren Taiwan Chien‐Tai Ren's profile →
Citations per field
00.5×3.2×
Chien‐Tai Ren · 1×
Citations per year

Countries citing papers authored by René Ranzinger

Since Specialization
Citations

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

Fields of papers citing papers by René Ranzinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007226
2 2008127
3 2012124
4 2017117
5 2008114
6 2007109
7 201388
8 201086
9 201466
10 200865
11 201551
12 201439
13 200738
14 200936
15 201929
16 201925
17 201324
18 202019
19 200512
20 201511

About René Ranzinger

René Ranzinger is a scholar working on Molecular Biology, Organic Chemistry, Nutrition and Dietetics, Spectroscopy and Cell Biology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (29 papers), Genomics and Phylogenetic Studies (21 papers), Carbohydrate Chemistry and Synthesis (16 papers), Microbial Metabolites in Food Biotechnology (5 papers), Biomedical Text Mining and Ontologies (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Organic Chemistry (662 citations), Molecular Biology (1.3k citations), Spectroscopy (234 citations), Cell Biology (127 citations) and Biotechnology (60 citations). René Ranzinger has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Stephan Herget, Claus‐Wilhelm von der Lieth, Kai Maaß, C.-W. von der Lieth, Stuart M. Haslam, Daniel B. Werz, Alexander Adibekian, Peter H. Seeberger, David Damerell and Filip V. Toukach. Their work appears in journals such as Glycobiology, Nucleic Acids Research, BMC Bioinformatics, Bioinformatics and ACS Chemical Biology.

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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