René Ranzinger

3.3k total citations
30 papers, 1.4k citations indexed

About

René Ranzinger is a scholar working on Molecular Biology, Organic Chemistry and Nutrition and Dietetics. According to data from OpenAlex, René Ranzinger has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 16 papers in Organic Chemistry and 5 papers in Nutrition and Dietetics. Recurrent topics in René Ranzinger's work include Glycosylation and Glycoproteins Research (29 papers), Genomics and Phylogenetic Studies (21 papers) and Carbohydrate Chemistry and Synthesis (16 papers). René Ranzinger is often cited by papers focused on Glycosylation and Glycoproteins Research (29 papers), Genomics and Phylogenetic Studies (21 papers) and Carbohydrate Chemistry and Synthesis (16 papers). René Ranzinger collaborates with scholars based in United States, Germany and Japan. René Ranzinger's co-authors include Stephan Herget, Claus‐Wilhelm von der Lieth, Kai Maaß, C.-W. von der Lieth, Stuart M. Haslam, Alexander Adibekian, Daniel B. Werz, Peter H. Seeberger, David Damerell and Martin Frank and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The FASEB Journal.

In The Last Decade

René Ranzinger

27 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
René Ranzinger United States 18 1.3k 662 234 127 123 30 1.4k
Chien‐Tai Ren Taiwan 18 915 0.7× 714 1.1× 74 0.3× 79 0.6× 170 1.4× 35 1.2k
Frédéric Chirat France 16 684 0.5× 182 0.3× 206 0.9× 94 0.7× 123 1.0× 22 915
Noboru Tomiya United States 21 1.4k 1.0× 505 0.8× 182 0.8× 178 1.4× 305 2.5× 42 1.6k
Ruixiang Blake Zheng Canada 21 718 0.5× 485 0.7× 68 0.3× 53 0.4× 115 0.9× 37 1.1k
Ursula Dąbrowski Germany 22 1.1k 0.8× 644 1.0× 113 0.5× 116 0.9× 243 2.0× 41 1.5k
Julien Mariethoz Switzerland 15 669 0.5× 233 0.4× 126 0.5× 54 0.4× 96 0.8× 26 753
Jean Robert Brisson Canada 15 753 0.6× 498 0.8× 71 0.3× 74 0.6× 88 0.7× 18 993
Gerardo Álvarez-Manilla United States 17 900 0.7× 318 0.5× 351 1.5× 148 1.2× 155 1.3× 19 1.0k
Sabina Gerber Switzerland 10 681 0.5× 252 0.4× 56 0.2× 42 0.3× 83 0.7× 13 911
J E Oates United Kingdom 11 721 0.5× 351 0.5× 94 0.4× 141 1.1× 234 1.9× 12 1.0k

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-authorship network of co-authors of René Ranzinger

This figure shows the co-authorship network connecting the top 25 collaborators of René Ranzinger. A scholar is included among the top collaborators of René Ranzinger 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 René Ranzinger. René Ranzinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Matsubara, Masaaki, Mayumi Ishihara, Michael Tiemeyer, Kazuhiro Aoki, & René Ranzinger. (2025). DANGO: An MS data annotation tool for glycolipidomics. PubMed. 7. 100161–100161.
2.
Kahsay, Robel, Nathan Edwards, Luke R. Johnson, et al.. (2025). GlycoSiteMiner: an ML/AI-assisted literature mining-based pipeline for extracting glycosylation sites from PubMed abstracts. Glycobiology. 35(7).
3.
Yamada, Issaku, Matthew P. Campbell, Nathan Edwards, et al.. (2021). The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application. Glycobiology. 31(7). 741–750. 9 indexed citations
4.
Aoki, Kazuhiro, Tadahiro Kumagai, René Ranzinger, et al.. (2021). Serum N-Glycome Diversity in Teleost and Chondrostrean Fishes. Frontiers in Molecular Biosciences. 8. 778383–778383. 2 indexed citations
5.
Shajahan, Asif, Nitin T. Supekar, Amberlyn M. Wands, et al.. (2020). Mass Spectrometric Method for the Unambiguous Profiling of Cellular Dynamic Glycosylation. ACS Chemical Biology. 15(10). 2692–2701. 19 indexed citations
6.
Campbell, Matthew P., Jodie L. Abrahams, Erdmann Rapp, et al.. (2019). The minimum information required for a glycomics experiment (MIRAGE) project: LC guidelines. Glycobiology. 29(5). 349–354. 29 indexed citations
7.
Tiemeyer, Michael, Kazuhiro Aoki, James C. Paulson, et al.. (2017). GlyTouCan: an accessible glycan structure repository. Glycobiology. 27(10). 915–919. 117 indexed citations
8.
Ranzinger, René, et al.. (2016). GLYDE-II: The GLYcan data exchange format. Perspectives in Science. 11. 24–30. 4 indexed citations
9.
Ranzinger, René & William S. York. (2015). GlycomeDB. Methods in molecular biology. 1273. 109–124. 11 indexed citations
10.
Damerell, David, Alessio Ceroni, Kai Maaß, et al.. (2015). Annotation of Glycomics MS and MS/MS Spectra Using the GlycoWorkbench Software Tool. Methods in molecular biology. 1273. 3–15. 51 indexed citations
11.
Kochut, Krys J., John A. Miller, René Ranzinger, et al.. (2014). Qrator: A web-based curation tool for glycan structures. Glycobiology. 25(1). 66–73. 9 indexed citations
12.
Aoki‐Kinoshita, Kiyoko F., Jerven Bolleman, Matthew P. Campbell, et al.. (2013). Introducing glycomics data into the Semantic Web. Journal of Biomedical Semantics. 4(1). 39–39. 24 indexed citations
13.
Kolarich, Daniel, Erdmann Rapp, Weston B. Struwe, et al.. (2013). The Minimum Information Required for a Glycomics Experiment (MIRAGE) Project: Improving the Standards for Reporting Mass-spectrometry-based Glycoanalytic Data. Molecular & Cellular Proteomics. 12(4). 991–995. 88 indexed citations
14.
Ranzinger, René, Stephan Herget, C.-W. von der Lieth, & Martin Frank. (2010). GlycomeDB--a unified database for carbohydrate structures. Nucleic Acids Research. 39(Database). D373–D376. 86 indexed citations
15.
Ranzinger, René, Martin Frank, Claus‐Wilhelm von der Lieth, & Stephan Herget. (2009). Glycome-DB.org: A portal for querying across the digital world of carbohydrate sequences. Glycobiology. 19(12). 1563–1567. 36 indexed citations
16.
Herget, Stephan, René Ranzinger, Kai Maaß, & C.-W. von der Lieth. (2008). GlycoCT—a unifying sequence format for carbohydrates. Carbohydrate Research. 343(12). 2162–2171. 127 indexed citations
17.
Ranzinger, René, Stephan Herget, Thomas C. Wetter, & Claus‐Wilhelm von der Lieth. (2008). GlycomeDB – integration of open-access carbohydrate structure databases. BMC Bioinformatics. 9(1). 384–384. 65 indexed citations
18.
Herget, Stephan, Filip V. Toukach, René Ranzinger, et al.. (2008). Statistical analysis of the Bacterial Carbohydrate Structure Data Base (BCSDB): Characteristics and diversity of bacterial carbohydrates in comparison with mammalian glycans. BMC Structural Biology. 8(1). 35–35. 114 indexed citations
19.
Maaß, Kai, René Ranzinger, Hildegard Geyer, Claus‐Wilhelm von der Lieth, & Rudolf Geyer. (2007). “Glyco‐peakfinder” – de novo composition analysis of glycoconjugates. PROTEOMICS. 7(24). 4435–4444. 109 indexed citations
20.
Bohne-Lang, Andreas, et al.. (2005). AISMIG--an interactive server-side molecule image generator. Nucleic Acids Research. 33(Web Server). W705–W709. 12 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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