Thomas G.M. Schmidt

2.7k total citations · 1 hit paper
16 papers, 2.2k citations indexed

About

Thomas G.M. Schmidt is a scholar working on Radiology, Nuclear Medicine and Imaging, Cell Biology and Molecular Biology. According to data from OpenAlex, Thomas G.M. Schmidt has authored 16 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cell Biology and 6 papers in Molecular Biology. Recurrent topics in Thomas G.M. Schmidt's work include Monoclonal and Polyclonal Antibodies Research (11 papers), Biotin and Related Studies (9 papers) and Click Chemistry and Applications (3 papers). Thomas G.M. Schmidt is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (11 papers), Biotin and Related Studies (9 papers) and Click Chemistry and Applications (3 papers). Thomas G.M. Schmidt collaborates with scholars based in Germany, United States and Canada. Thomas G.M. Schmidt's co-authors include Arne Skerra, Jürgen Koepke, Ronald Frank, A. Plueckthun, Rudi Glockshuber, Gerhard A. Holzapfel, Juergen Kast, Melissa R. Junttila, Jukka Westermarck and Roland E. Kontermann and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Thomas G.M. Schmidt

16 papers receiving 2.1k citations

Hit Papers

The Strep-tag system for one-step purification and high-a... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas G.M. Schmidt Germany 15 1.5k 748 346 282 276 16 2.2k
Rachel B. Kapust United States 11 2.1k 1.4× 513 0.7× 205 0.6× 307 1.1× 206 0.7× 12 2.8k
Jean‐Baptiste Charbonnier France 29 2.2k 1.5× 467 0.6× 198 0.6× 322 1.1× 258 0.9× 74 2.7k
Patrik Forrer Switzerland 23 2.4k 1.6× 1.4k 1.8× 223 0.6× 326 1.2× 329 1.2× 25 3.0k
Michael T. Stumpp Switzerland 18 1.7k 1.1× 1.0k 1.4× 167 0.5× 310 1.1× 224 0.8× 26 2.3k
David Filpula United States 18 1.7k 1.2× 789 1.1× 136 0.4× 328 1.2× 263 1.0× 26 2.5k
Yi Shi United States 31 2.3k 1.6× 431 0.6× 270 0.8× 261 0.9× 329 1.2× 69 3.2k
Christophe Briand Switzerland 20 1.9k 1.3× 433 0.6× 205 0.6× 550 2.0× 412 1.5× 29 2.6k
Marc Graille France 36 3.1k 2.1× 391 0.5× 152 0.4× 234 0.8× 239 0.9× 93 3.7k
Kristian M. Müller Germany 28 1.6k 1.1× 775 1.0× 94 0.3× 229 0.8× 122 0.4× 76 2.1k
Jennica L. Zaro United States 23 2.4k 1.6× 410 0.5× 109 0.3× 215 0.8× 409 1.5× 38 3.1k

Countries citing papers authored by Thomas G.M. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Thomas G.M. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas G.M. Schmidt. 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 Thomas G.M. Schmidt. The network helps show where Thomas G.M. Schmidt may publish in the future.

Co-authorship network of co-authors of Thomas G.M. Schmidt

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

All Works

16 of 16 papers shown
1.
Schmidt, Thomas G.M., et al.. (2021). The Role of Changing Loop Conformations in Streptavidin Versions Engineered for High-affinity Binding of the Strep-tag II Peptide. Journal of Molecular Biology. 433(9). 166893–166893. 12 indexed citations
2.
Poltorak, Mateusz P., Patricia Graef, Claudia Tschulik, et al.. (2020). Expamers: a new technology to control T cell activation. Scientific Reports. 10(1). 17832–17832. 24 indexed citations
3.
Yeliseev, Alexei, et al.. (2016). Application of Strep-Tactin XT for affinity purification of Twin-Strep-tagged CB 2 , a G protein-coupled cannabinoid receptor. Protein Expression and Purification. 131. 109–118. 25 indexed citations
4.
Schmidt, Thomas G.M. & Arne Skerra. (2015). The Strep-tag System for One-Step Affinity Purification of Proteins from Mammalian Cell Culture. Methods in molecular biology. 1286. 83–95. 14 indexed citations
5.
Schmidt, Thomas G.M., et al.. (2013). Development of the Twin-Strep-tag® and its application for purification of recombinant proteins from cell culture supernatants. Protein Expression and Purification. 92(1). 54–61. 150 indexed citations
6.
Stemberger, Christian, Stefan Dreher, Claudia Tschulik, et al.. (2012). Novel Serial Positive Enrichment Technology Enables Clinical Multiparameter Cell Sorting. PLoS ONE. 7(4). e35798–e35798. 45 indexed citations
7.
Schmidt, Burkhard, Katharina M. Huster, Florian Anderl, et al.. (2007). Reversible HLA multimers (Streptamers) for the isolation of human cytotoxic T lymphocytes functionally active against tumor- and virus-derived antigens. Journal of Immunological Methods. 320(1-2). 119–131. 84 indexed citations
8.
Schmidt, Thomas G.M. & Arne Skerra. (2007). The Strep-tag system for one-step purification and high-affinity detection or capturing of proteins. Nature Protocols. 2(6). 1528–1535. 524 indexed citations breakdown →
9.
Junttila, Melissa R., et al.. (2005). Single‐step Strep‐tag® purification for the isolation and identification of protein complexes from mammalian cells. PROTEOMICS. 5(5). 1199–1203. 101 indexed citations
10.
Skerra, Arne & Thomas G.M. Schmidt. (2000). [18] Use of the Strep- tag and streptavidin for detection and purification of recombinant proteins. Methods in enzymology on CD-ROM/Methods in enzymology. 326. 271–304. 182 indexed citations
11.
Skerra, Arne & Thomas G.M. Schmidt. (1999). Applications of a peptide ligand for streptavidin: the Strep-tag. Biomolecular Engineering. 16(1-4). 79–86. 98 indexed citations
12.
Schmidt, Thomas G.M., Jürgen Koepke, Ronald Frank, & Arne Skerra. (1996). Molecular Interaction Between the Strep-tag Affinity Peptide and its Cognate Target, Streptavidin. Journal of Molecular Biology. 255(5). 753–766. 272 indexed citations
13.
Dübel, Stefan, Frank Breitling, Roland E. Kontermann, et al.. (1995). Bifunctional and multimeric complexes of streptavidin fused to single chain antibodies (scFv). Journal of Immunological Methods. 178(2). 201–209. 81 indexed citations
14.
Schmidt, Thomas G.M. & Arne Skerra. (1994). One-step affinity purification of bacterially produced proteins by means of the “Strep tag” and immobilized recombinant core streptavidin. Journal of Chromatography A. 676(2). 337–345. 143 indexed citations
15.
Schmidt, Thomas G.M. & Arne Skerra. (1993). The random peptide library-assisted engineering of a C-terminal affinity peptide, useful for the detection and purification of a functional Ig Fv fragment. Protein Engineering Design and Selection. 6(1). 109–122. 232 indexed citations
16.
Glockshuber, Rudi, Thomas G.M. Schmidt, & A. Plueckthun. (1992). The disulfide bonds in antibody variable domains: effects on stability, folding in vitro, and functional expression in Escherichia coli. Biochemistry. 31(5). 1270–1279. 170 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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