Sybille Standera

1.3k total citations
11 papers, 1.1k citations indexed

About

Sybille Standera is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Sybille Standera has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Sybille Standera's work include Ubiquitin and proteasome pathways (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Sybille Standera is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Sybille Standera collaborates with scholars based in Germany, United States and Netherlands. Sybille Standera's co-authors include Marcus Groettrup, Peter M. Kloetzel, Ralf Stohwasser, Peter‐M. Kloetzel, Michael Seeger, Alice J.A.M. Sijts, Thomas Ruppert, Dietmar M. Zaiss, Peter‐Michael Kloetzel and Lothar Kuehn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Sybille Standera

11 papers receiving 1.1k citations

Peers

Sybille Standera
Hung Phi Nguyen United States
Angus Chen United States
Ian R. Kelsall United Kingdom
Ingrid Dodge United States
Christian Zierhut United States
Sybille Standera
Citations per year, relative to Sybille Standera Sybille Standera (= 1×) peers Peter-M. Kloetzel

Countries citing papers authored by Sybille Standera

Since Specialization
Citations

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

Fields of papers citing papers by Sybille Standera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sybille Standera

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

All Works

11 of 11 papers shown
1.
Kny, Melanie, Sybille Standera, Rasmus Hartmann‐Petersen, Peter‐Michael Kloetzel, & Michael Seeger. (2010). Herp Regulates Hrd1-mediated Ubiquitylation in a Ubiquitin-like Domain-dependent Manner. Journal of Biological Chemistry. 286(7). 5151–5156. 59 indexed citations
2.
Schulze, Andrea, Sybille Standera, Marjolein Kikkert, et al.. (2005). The Ubiquitin-domain Protein HERP forms a Complex with Components of the Endoplasmic Reticulum Associated Degradation Pathway. Journal of Molecular Biology. 354(5). 1021–1027. 177 indexed citations
3.
Zaiss, Dietmar M., Sybille Standera, Peter‐M. Kloetzel, & Alice J.A.M. Sijts. (2002). PI31 is a modulator of proteasome formation and antigen processing. Proceedings of the National Academy of Sciences. 99(22). 14344–14349. 80 indexed citations
4.
Sijts, Alice J.A.M., Sybille Standera, René E. M. Toes, et al.. (2000). MHC Class I Antigen Processing of an Adenovirus CTL Epitope Is Linked to the Levels of Immunoproteasomes in Infected Cells. The Journal of Immunology. 164(9). 4500–4506. 104 indexed citations
5.
Zaiss, Dietmar M., et al.. (1999). The proteasome inhibitor PI31 competes with PA28 for binding to 20S proteasomes. FEBS Letters. 457(3). 333–338. 73 indexed citations
6.
7.
Stohwasser, Ralf, Sybille Standera, Inga Peters, Peter‐M. Kloetzel, & Marcus Groettrup. (1997). Molecular cloning of the mouse proteasome subunits MC14 and MECL‐1: reciprocally regulated tissue expression of interferon‐γ‐modulated proteasome subunits. European Journal of Immunology. 27(5). 1182–1187. 54 indexed citations
8.
Groettrup, Marcus, Sybille Standera, Ralf Stohwasser, & Peter M. Kloetzel. (1997). The subunits MECL-1 and LMP2 are mutually required for incorporation into the 20S proteasome. Proceedings of the National Academy of Sciences. 94(17). 8970–8975. 180 indexed citations
9.
Groettrup, Marcus, Regine Kraft, Susanne Kostka, et al.. (1996). A third interferon‐γ‐induced subunit exchange in the 20S proteasome. European Journal of Immunology. 26(4). 863–869. 139 indexed citations
10.
Groettrup, Marcus, Thomas Ruppert, Lothar Kuehn, et al.. (1995). The Interferon-γ-inducible 11 S Regulator (PA28) and the LMP2/LMP7 Subunits Govern the Peptide Production by the 20 S Proteasome in Vitro. Journal of Biological Chemistry. 270(40). 23808–23815. 203 indexed citations
11.
Dubiel, Wolfgang, Katherine Ferrell, R Dumdey, et al.. (1995). Molecular cloning and expression of subunit 12: a non‐MCP and non‐ATPase subunit of the 26 S protease. FEBS Letters. 363(1-2). 97–100. 28 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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