Jürgen Seibel

4.2k total citations
103 papers, 3.0k citations indexed

About

Jürgen Seibel is a scholar working on Molecular Biology, Organic Chemistry and Nutrition and Dietetics. According to data from OpenAlex, Jürgen Seibel has authored 103 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 41 papers in Organic Chemistry and 35 papers in Nutrition and Dietetics. Recurrent topics in Jürgen Seibel's work include Microbial Metabolites in Food Biotechnology (33 papers), Glycosylation and Glycoproteins Research (30 papers) and Carbohydrate Chemistry and Synthesis (29 papers). Jürgen Seibel is often cited by papers focused on Microbial Metabolites in Food Biotechnology (33 papers), Glycosylation and Glycoproteins Research (30 papers) and Carbohydrate Chemistry and Synthesis (29 papers). Jürgen Seibel collaborates with scholars based in Germany, Netherlands and United Kingdom. Jürgen Seibel's co-authors include Klaus Buchholz, Christopher J. Schofield, K. Buchholz, Luke A. McNeill, Kirsty S. Hewitson, Arne Homann, Maria Elena Ortiz‐Soto, Markus Sauer, Jonathan M. Elkins and Imre Schlemminger and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Jürgen Seibel

100 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Seibel Germany 31 1.5k 820 810 628 427 103 3.0k
Akira Matsuura Japan 37 2.6k 1.7× 155 0.2× 356 0.4× 306 0.5× 525 1.2× 137 4.8k
Jakob R. Winther Denmark 39 3.3k 2.1× 298 0.4× 334 0.4× 276 0.4× 294 0.7× 103 4.9k
Thomas J. Jess United Kingdom 14 2.4k 1.5× 170 0.2× 158 0.2× 239 0.4× 173 0.4× 21 3.7k
John Glushka United States 26 1.5k 1.0× 131 0.2× 150 0.2× 623 1.0× 765 1.8× 60 2.5k
Bjørn Dalhus Norway 34 2.2k 1.4× 109 0.1× 398 0.5× 300 0.5× 258 0.6× 94 3.4k
Stina Oredsson Sweden 34 2.1k 1.4× 141 0.2× 97 0.1× 232 0.4× 315 0.7× 142 3.4k
Gary E. Means United States 23 2.1k 1.4× 113 0.1× 264 0.3× 393 0.6× 217 0.5× 55 3.5k
Indu Parikh United States 27 2.4k 1.6× 146 0.2× 208 0.3× 279 0.4× 143 0.3× 57 4.1k
Daisuke Tsuru Japan 30 1.7k 1.1× 117 0.1× 556 0.7× 119 0.2× 175 0.4× 139 2.8k

Countries citing papers authored by Jürgen Seibel

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Seibel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Seibel

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Seibel. A scholar is included among the top collaborators of Jürgen Seibel 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 Jürgen Seibel. Jürgen Seibel 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.
Ortiz‐Soto, Maria Elena, et al.. (2025). Effect of loop-grafting on the activity, stability and regioselectivity of Priestia megaterium levansucrase using two inulosucrases as loop donors. International Journal of Biological Macromolecules. 306(Pt 3). 141584–141584. 1 indexed citations
2.
Gutmann, Marcus, Eberhard Heller, Peggy Riese, et al.. (2025). A Viral Neuraminidase-Specific Sensor for Taste-Based Detection of Influenza. ACS Central Science. 11(11). 2172–2179.
3.
Schumacher, Fabian, Kathrin Stelzner, Julian Fink, et al.. (2025). Chlamydia trachomatis exploits sphingolipid metabolic pathways during infection of phagocytes. mBio. 16(5). e0398124–e0398124. 3 indexed citations
5.
Schumacher, Fabian, Dominic A. Helmerich, C. Oliver Kappe, et al.. (2024). Trifunctional sphingomyelin derivatives enable nanoscale resolution of sphingomyelin turnover in physiological and infection processes via expansion microscopy. Nature Communications. 15(1). 7456–7456. 5 indexed citations
6.
Sayed, Ahmed M., Nasir Tajuddeen, Jürgen Seibel, et al.. (2023). Korupensamine A, but not its atropisomer, korupensamine B, inhibits SARS-CoV-2 in vitro by targeting its main protease (Mpro). European Journal of Medicinal Chemistry. 251. 115226–115226. 8 indexed citations
7.
Kiefer, Patrick, et al.. (2023). The Legionella autoinducer LAI-1 is delivered by outer membrane vesicles to promote interbacterial and interkingdom signaling. Journal of Biological Chemistry. 299(12). 105376–105376. 8 indexed citations
8.
Meißner-Weigl, Jutta, et al.. (2023). SiaNAl can be efficiently incorporated in glycoproteins of human mesenchymal stromal cells by metabolic glycoengineering. ACS Biomaterials Science & Engineering. 10(1). 139–148. 1 indexed citations
9.
Geiger, Nina, Jan Schlegel, Julian Fink, et al.. (2023). Azido-Ceramides, a Tool to Analyse SARS-CoV-2 Replication and Inhibition—SARS-CoV-2 Is Inhibited by Ceramides. International Journal of Molecular Sciences. 24(8). 7281–7281. 1 indexed citations
11.
Schumacher, Fabian, Burkhard Kleuser, Julian Fink, et al.. (2022). Synthesis and Characterization of Ceramide-Containing Liposomes as Membrane Models for Different T Cell Subpopulations. Journal of Functional Biomaterials. 13(3). 111–111. 1 indexed citations
12.
Meißner-Weigl, Jutta, Maximilian Rudert, Franz Jakob, et al.. (2021). Metabolic Glycoengineering in hMSC-TERT as a Model for Skeletal Precursors by Using Modified Azide/Alkyne Monosaccharides. International Journal of Molecular Sciences. 22(6). 2820–2820. 10 indexed citations
13.
Janaki‐Raman, Sudha, Apoorva Baluapuri, Francesca R. Dejure, et al.. (2020). Reprogramming of host glutamine metabolism during Chlamydia trachomatis infection and its key role in peptidoglycan synthesis. Nature Microbiology. 5(11). 1390–1402. 38 indexed citations
14.
Ortiz‐Soto, Maria Elena, et al.. (2019). Structural and functional role of disulphide bonds and substrate binding residues of the human beta-galactoside alpha-2,3-sialyltransferase 1 (hST3Gal1). Scientific Reports. 9(1). 17993–17993. 9 indexed citations
15.
Beliu, Gerti, Andreas Kurz, Alexander Kuhlemann, et al.. (2019). Bioorthogonal labeling with tetrazine-dyes for super-resolution microscopy. Communications Biology. 2(1). 261–261. 112 indexed citations
16.
Kiefer, Werner, et al.. (2019). Identification of a potential allosteric site of Golgi α-mannosidase II using computer-aided drug design. PLoS ONE. 14(5). e0216132–e0216132. 6 indexed citations
17.
Winne, Johan M., et al.. (2018). Mechanistical Insights into the Bioconjugation Reaction of Triazolinediones with Tyrosine. The Journal of Organic Chemistry. 83(17). 10248–10260. 15 indexed citations
18.
Kraus, Michael, Clemens Grimm, & Jürgen Seibel. (2018). Reversibility of a Point Mutation Induced Domain Shift: Expanding the Conformational Space of a Sucrose Phosphorylase. Scientific Reports. 8(1). 10490–10490. 7 indexed citations
19.
Homann, Arne, et al.. (2012). Chemo-enzymatic synthesis and in vitro cytokine profiling of tailor-made oligofructosides. BMC Biotechnology. 12(1). 90–90. 2 indexed citations
20.
Buchholz, K. & Jürgen Seibel. (2008). Industrial carbohydrate biotransformations. Carbohydrate Research. 343(12). 1966–1979. 129 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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