Thorsten Biet

534 total citations
10 papers, 418 citations indexed

About

Thorsten Biet is a scholar working on Molecular Biology, Organic Chemistry and Hematology. According to data from OpenAlex, Thorsten Biet has authored 10 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Organic Chemistry and 2 papers in Hematology. Recurrent topics in Thorsten Biet's work include Glycosylation and Glycoproteins Research (8 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Erythrocyte Function and Pathophysiology (2 papers). Thorsten Biet is often cited by papers focused on Glycosylation and Glycoproteins Research (8 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Erythrocyte Function and Pathophysiology (2 papers). Thorsten Biet collaborates with scholars based in Germany, Denmark and United States. Thorsten Biet's co-authors include Thomas Peters, N. Rama Krishna, Bernd Meyer, Monica M. Palcic, Astrid Blume, Hannelore Peters, Jesús Angulo, V. Jayalakshmi, Jan Münch and Raghavan Chinnadurai and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Thorsten Biet

10 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thorsten Biet Germany 8 257 98 93 71 56 10 418
Zafiria Athanassiou Switzerland 9 482 1.9× 153 1.6× 62 0.7× 73 1.0× 33 0.6× 9 551
J. Wielens Australia 14 516 2.0× 101 1.0× 82 0.9× 137 1.9× 21 0.4× 17 740
Marie‐Paule Strub France 13 380 1.5× 169 1.7× 40 0.4× 98 1.4× 156 2.8× 18 627
Paola Ronzi Italy 10 126 0.5× 70 0.7× 77 0.8× 86 1.2× 111 2.0× 14 466
Maria Rafalski United States 11 367 1.4× 106 1.1× 175 1.9× 25 0.4× 42 0.8× 13 585
Shantaram Kamath United States 9 338 1.3× 71 0.7× 249 2.7× 64 0.9× 24 0.4× 21 623
Alexander Litovchick Israel 14 625 2.4× 139 1.4× 94 1.0× 71 1.0× 68 1.2× 17 738
Jessica L. Bridgford Australia 9 308 1.2× 64 0.7× 68 0.7× 87 1.2× 113 2.0× 9 866
S.L. Irving United Kingdom 7 326 1.3× 218 2.2× 152 1.6× 186 2.6× 29 0.5× 8 547
Chhaya Dharia United States 7 389 1.5× 114 1.2× 108 1.2× 181 2.5× 57 1.0× 9 599

Countries citing papers authored by Thorsten Biet

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Biet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Biet

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

All Works

10 of 10 papers shown
1.
Biet, Thorsten, et al.. (2011). Insights into Neuronal Cell Metabolism Using NMR Spectroscopy: Uridyl Diphosphate N‐Acetyl‐Glucosamine as a Unique Metabolic Marker. Angewandte Chemie International Edition. 50(49). 11672–11674. 5 indexed citations
2.
Biet, Thorsten, et al.. (2010). New Nucleotide Analogues with Enhanced Signal Properties. Bioconjugate Chemistry. 21(1). 122–129. 7 indexed citations
3.
Münch, Jan, Ludger Ständker, Knut Adermann, et al.. (2007). Discovery and Optimization of a Natural HIV-1 Entry Inhibitor Targeting the gp41 Fusion Peptide. Cell. 129(2). 263–275. 185 indexed citations
4.
Angulo, Jesús, Christoph Rademacher, Thorsten Biet, et al.. (2006). NMR Analysis of Carbohydrate–Protein Interactions. Methods in enzymology on CD-ROM/Methods in enzymology. 416. 12–30. 28 indexed citations
5.
Blume, Astrid, Jesús Angulo, Thorsten Biet, et al.. (2006). Fragment-based Screening of the Donor Substrate Specificity of Human Blood Group B Galactosyltransferase Using Saturation Transfer Difference NMR. Journal of Biological Chemistry. 281(43). 32728–32740. 27 indexed citations
6.
Angulo, Jesús, Astrid Blume, Thorsten Biet, et al.. (2006). Blood Group B Galactosyltransferase:  Insights into Substrate Binding from NMR Experiments. Journal of the American Chemical Society. 128(41). 13529–13538. 64 indexed citations
8.
Jayalakshmi, V., Thorsten Biet, Thomas Peters, & N. Rama Krishna. (2004). Refinement of the Conformation of UDP−Galactose Bound to Galactosyltransferase Using the STD NMR Intensity-Restrained CORCEMA Optimization. Journal of the American Chemical Society. 126(28). 8610–8611. 43 indexed citations
9.
Biet, Thorsten & Thomas Peters. (2001). Molekulare Erkennung von UDP-Gal durchβ-1,4-Galactosyltransferase T1. Angewandte Chemie. 113(22). 4320–4323. 9 indexed citations
10.
Biet, Thorsten & Thomas Peters. (2001). Molecular Recognition of UDP-Gal by β-1,4-Galactosyltransferase T1. Angewandte Chemie International Edition. 40(22). 4189–4192. 44 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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