Gunter Schmidtke

3.3k total citations
48 papers, 2.8k citations indexed

About

Gunter Schmidtke is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Gunter Schmidtke has authored 48 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 18 papers in Immunology and 14 papers in Oncology. Recurrent topics in Gunter Schmidtke's work include Ubiquitin and proteasome pathways (39 papers), Peptidase Inhibition and Analysis (11 papers) and Immunotherapy and Immune Responses (10 papers). Gunter Schmidtke is often cited by papers focused on Ubiquitin and proteasome pathways (39 papers), Peptidase Inhibition and Analysis (11 papers) and Immunotherapy and Immune Responses (10 papers). Gunter Schmidtke collaborates with scholars based in Germany, Switzerland and United States. Gunter Schmidtke's co-authors include Marcus Groettrup, Shahri Raasi, Birte Kalveram, Rita de Giuli, Mark S. Hipp, Annette Aichem, Katrin Schwarz, Christiane Pelzer, Peter‐M. Kloetzel and Selina Khan and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Gunter Schmidtke

48 papers receiving 2.8k citations

Peers

Gunter Schmidtke

IMMUN

ONCOL

EPIDE

Lisa Rothstein United States

Marianne Kraus Switzerland

Naoki Shimbara Japan

Jean-Luc Bodmer Switzerland

Fabio Dall’Olio Italy

Giovina Ruberti Italy

Jaromir Vlach United States

Pier Paolo Scaglioni United States

Catherina H. Bird Australia

Ueli Nachbur Australia

Lisa Rothstein United States

Gunter Schmidtke

2.1k ×0.9

1.4k ×1.6

IMMUN

615 ×0.7

ONCOL

440 ×0.7

EPIDE

531 ×1.5

Citations per year, relative to Gunter Schmidtke Gunter Schmidtke (= 1×) peers Lisa Rothstein

Countries citing papers authored by Gunter Schmidtke

Since Specialization

Citations

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

Fields of papers citing papers by Gunter Schmidtke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunter Schmidtke

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

All Works

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20 of 20 papers shown

Cao, Jiafu, et al.. (2025). The ubiquitin-like modifier FAT10 does not affect IL-12 expression and signaling. PLoS ONE. 20(5). e0323005–e0323005. 1 indexed citations

Saxena, Kritika, et al.. (2023). FAT10 is phosphorylated by IKKβ to inhibit the antiviral type-I interferon response. Life Science Alliance. 7(1). e202101282–e202101282. 6 indexed citations

Catone, Nicola, et al.. (2023). FAT10 and NUB1L cooperate to activate the 26S proteasome. Life Science Alliance. 6(8). e202201463–e202201463. 5 indexed citations

Aichem, Annette, et al.. (2019). Analysis of modification and proteolytic targeting by the ubiquitin-like modifier FAT10. Methods in enzymology on CD-ROM/Methods in enzymology. 618. 229–256. 11 indexed citations

Schmidtke, Gunter, Annette Aichem, & Marcus Groettrup. (2013). FAT10ylation as a signal for proteasomal degradation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(1). 97–102. 76 indexed citations

Nathan, James A., et al.. (2013). Immuno- and Constitutive Proteasomes Do Not Differ in Their Abilities to Degrade Ubiquitinated Proteins. Cell. 152(5). 1184–1194. 89 indexed citations

Novoselov, Sergey S., Gunter Schmidtke, Marcus Groettrup, et al.. (2012). NUB1 modulation of GSK3 beta reduces tau aggregation. UCL Discovery (University College London). 1 indexed citations

Rani, Neha, Annette Aichem, Gunter Schmidtke, Stefan G. Kreft, & Marcus Groettrup. (2012). FAT10 and NUB1L bind to the VWA domain of Rpn10 and Rpn1 to enable proteasome-mediated proteolysis. Nature Communications. 3(1). 749–749. 65 indexed citations

Aichem, Annette, Christiane Pelzer, Sebastian Łukasiak, et al.. (2010). USE1 is a bispecific conjugating enzyme for ubiquitin and FAT10, which FAT10ylates itself in cis. Nature Communications. 1(1). 13–13. 82 indexed citations

10.

Schmidtke, Gunter, Birte Kalveram, & Marcus Groettrup. (2009). Degradation of FAT10 by the 26S proteasome is independent of ubiquitylation but relies on NUB1L. FEBS Letters. 583(3). 591–594. 66 indexed citations

11.

Groettrup, Marcus, Christiane Pelzer, Gunter Schmidtke, & Kay Hofmann. (2008). Activating the ubiquitin family: UBA6 challenges the field. Trends in Biochemical Sciences. 33(5). 230–237. 96 indexed citations

12.

Pelzer, Christiane, Konstantin Matentzoglu, Rajesh Singh, et al.. (2007). UBE1L2, a Novel E1 Enzyme Specific for Ubiquitin*. Journal of Biological Chemistry. 282(32). 23010–23014. 135 indexed citations

13.

Schmidtke, Gunter, et al.. (2006). The UBA Domains of NUB1L Are Required for Binding but Not for Accelerated Degradation of the Ubiquitin-like Modifier FAT10. Journal of Biological Chemistry. 281(29). 20045–20054. 55 indexed citations

14.

Khan, Selina, Rita de Giuli, Gunter Schmidtke, et al.. (2001). Cutting Edge: Neosynthesis Is Required for the Presentation of a T Cell Epitope from a Long-Lived Viral Protein. The Journal of Immunology. 167(9). 4801–4804. 85 indexed citations

15.

Raasi, Shahri, Gunter Schmidtke, & Marcus Groettrup. (2001). The Ubiquitin-like Protein FAT10 Forms Covalent Conjugates and Induces Apoptosis. Journal of Biological Chemistry. 276(38). 35334–35343. 143 indexed citations

16.

Schwarz, Katrin, Rita de Giuli, Gunter Schmidtke, et al.. (2000). The Selective Proteasome Inhibitors Lactacystin and Epoxomicin Can Be Used to Either Up- or Down-Regulate Antigen Presentation at Nontoxic Doses. The Journal of Immunology. 164(12). 6147–6157. 88 indexed citations

17.

Schmidtke, Gunter, Hermann−Georg Holzhütter, Matthew Bogyo, et al.. (1999). How an Inhibitor of the HIV-I Protease Modulates Proteasome Activity. Journal of Biological Chemistry. 274(50). 35734–35740. 128 indexed citations

18.

Raasi, Shahri, Gunter Schmidtke, Rita de Giuli, & Marcus Groettrup. (1999). A ubiquitin-like protein which is synergistically inducible by interferon-γ and tumor necrosis factor-α. European Journal of Immunology. 29(12). 4030–4036. 113 indexed citations

19.

Schmidtke, Gunter, et al.. (1997). Structure and structure formation of the 20S proteasome. Molecular Biology Reports. 24(1-2). 103–112. 15 indexed citations

20.

Feist, Eugen, Thomas Dörner, Ulrike Kuckelkorn, et al.. (1996). Proteasome alpha-type subunit C9 is a primary target of autoantibodies in sera of patients with myositis and systemic lupus erythematosus.. The Journal of Experimental Medicine. 184(4). 1313–1318. 67 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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