Ruth Geiss‐Friedlander

6.0k total citations · 1 hit paper
27 papers, 2.6k citations indexed

About

Ruth Geiss‐Friedlander is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ruth Geiss‐Friedlander has authored 27 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Ruth Geiss‐Friedlander's work include Peptidase Inhibition and Analysis (18 papers), Ubiquitin and proteasome pathways (10 papers) and Signaling Pathways in Disease (8 papers). Ruth Geiss‐Friedlander is often cited by papers focused on Peptidase Inhibition and Analysis (18 papers), Ubiquitin and proteasome pathways (10 papers) and Signaling Pathways in Disease (8 papers). Ruth Geiss‐Friedlander collaborates with scholars based in Germany, United States and Australia. Ruth Geiss‐Friedlander's co-authors include Frauke Melchior, Thomas Sommer, Ernst Jarosch, Corinna Volkwein, Jörg Urban, Ulrike Möller, Henning Urlaub, Nicolas Parmentier, Benoı̂t J. Van den Eynde and Jan Walter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ruth Geiss‐Friedlander

25 papers receiving 2.6k citations

Hit Papers

Concepts in sumoylation: a decade on 2007 2026 2013 2019 2007 400 800 1.2k

Peers

Ruth Geiss‐Friedlander
Helen R. Flynn United Kingdom
Jong‐Bok Yoon South Korea
Tapasree Goswami United States
Bo Zhai United States
Chunshui Zhou United States
Kenneth Wu United States
Ruth Geiss‐Friedlander
Citations per year, relative to Ruth Geiss‐Friedlander Ruth Geiss‐Friedlander (= 1×) peers Guillaume Bossis

Countries citing papers authored by Ruth Geiss‐Friedlander

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Geiss‐Friedlander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth Geiss‐Friedlander. 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 Ruth Geiss‐Friedlander. The network helps show where Ruth Geiss‐Friedlander may publish in the future.

Co-authorship network of co-authors of Ruth Geiss‐Friedlander

This figure shows the co-authorship network connecting the top 25 collaborators of Ruth Geiss‐Friedlander. A scholar is included among the top collaborators of Ruth Geiss‐Friedlander 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 Ruth Geiss‐Friedlander. Ruth Geiss‐Friedlander 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.
Geiss‐Friedlander, Ruth, et al.. (2025). Sulphostin-inspired N-phosphonopiperidones as selective covalent DPP8 and DPP9 inhibitors. Nature Communications. 16(1). 3208–3208. 1 indexed citations
2.
Geiss‐Friedlander, Ruth, et al.. (2025). The multifunctional regulatory post-proline protease dipeptidyl peptidase 9 and its inhibitors: new opportunities for therapeutics. Cellular and Molecular Life Sciences. 82(1). 187–187.
3.
Arumugam, G, Teresa Müller, Ruth Geiss‐Friedlander, et al.. (2025). The lincRNA Pantr1 is a FOXG1 target gene conferring site-specific chromatin binding of FOXG1. Nucleic Acids Research. 53(12).
4.
Geiss‐Friedlander, Ruth, et al.. (2024). N-terminal processing by dipeptidyl peptidase 9: Cut and Go!. Biochimie. 226. 180–192. 6 indexed citations
5.
Kari, Vijayalakshmi, Melanie Spitzner, Christof Lenz, et al.. (2022). Dipeptidyl peptidase 9 triggers BRCA2 degradation and promotes DNA damage repair. EMBO Reports. 23(10). e54136–e54136. 20 indexed citations
6.
Dörner, Wolfgang, et al.. (2022). A Photo-Crosslinking Approach to Identify Class II SUMO-1 Binders. Frontiers in Chemistry. 10. 900989–900989. 8 indexed citations
7.
Lum, Kenneth M., R. Kiefersauer, Tiago Rodrigues, et al.. (2022). Chemoproteomik‐basierte Identifikation von 4‐Oxo‐β‐lactamen als Inhibitoren der Dipeptidylpeptidasen 8 und 9. Angewandte Chemie. 134(47). 1 indexed citations
8.
Kim, Heeyoung, John C. Widen, Brett M. Babin, et al.. (2021). Challenges for Targeting SARS-CoV-2 Proteases as a Therapeutic Strategy for COVID-19. ACS Infectious Diseases. 7(6). 1457–1468. 72 indexed citations
9.
Vliegen, Gwendolyn, Amanda Gonçalves, Rosa Martín‐Pérez, et al.. (2019). DPP8/DPP9 inhibition elicits canonical Nlrp1b inflammasome hallmarks in murine macrophages. Life Science Alliance. 2(1). e201900313–e201900313. 44 indexed citations
10.
Krapp, Stephan, et al.. (2018). DPP8 and DPP9 structure, mechanism and interaction with SUMO1. Acta Crystallographica Section A Foundations and Advances. 74(a2). e228–e228. 2 indexed citations
11.
Strenzke, Nicola, Rituparna Chakrabarti, Hanan Al‐Moyed, et al.. (2016). Hair cell synaptic dysfunction, auditory fatigue and thermal sensitivity in otoferlin Ile515Thr mutants. The EMBO Journal. 35(23). 2519–2535. 69 indexed citations
12.
Möller, Ulrike, et al.. (2014). The amino terminus extension in the long dipeptidyl peptidase 9 isoform contains a nuclear localization signal targeting the active peptidase to the nucleus. Cellular and Molecular Life Sciences. 71(18). 3611–3626. 27 indexed citations
13.
Kilisch, Markus, et al.. (2013). The SUMO1-E67 Interacting Loop Peptide Is an Allosteric Inhibitor of the Dipeptidyl Peptidases 8 and 9. Journal of Biological Chemistry. 288(45). 32787–32796. 20 indexed citations
14.
Möller, Ulrike, et al.. (2012). A Novel SUMO1-specific Interacting Motif in Dipeptidyl Peptidase 9 (DPP9) That Is Important for Enzymatic Regulation. Journal of Biological Chemistry. 287(53). 44320–44329. 54 indexed citations
15.
Geiss‐Friedlander, Ruth, Nicolas Parmentier, Ulrike Möller, et al.. (2009). The Cytoplasmic Peptidase DPP9 Is Rate-limiting for Degradation of Proline-containing Peptides. Journal of Biological Chemistry. 284(40). 27211–27219. 85 indexed citations
16.
Geiss‐Friedlander, Ruth & Frauke Melchior. (2007). Concepts in sumoylation: a decade on. Nature Reviews Molecular Cell Biology. 8(12). 947–956. 1456 indexed citations breakdown →
17.
Granot, Zvi, Ruth Geiss‐Friedlander, Naomi Melamed‐Book, et al.. (2003). Proteolysis of Normal and Mutated Steroidogenic Acute Regulatory Proteins in the Mitochondria: the Fate of Unwanted Proteins. Molecular Endocrinology. 17(12). 2461–2476. 75 indexed citations
18.
Granot, Zvi, Ruth Geiss‐Friedlander, Naomi Melamed‐Book, et al.. (2002). THE LIFE CYCLE OF THE STEROIDOGENIC ACUTE REGULATORY (StAR) PROTEIN: FROM TRANSCRIPTION THROUGH PROTEOLYSIS. Endocrine Research. 28(4). 375–386. 31 indexed citations
19.
Jarosch, Ernst, et al.. (2002). Protein Dislocation from the Endoplasmic Reticulum – Pulling Out the Suspect. Traffic. 3(8). 530–536. 70 indexed citations
20.
Geiss‐Friedlander, Ruth, Ernst Jarosch, Jörg Urban, Corinna Volkwein, & Thomas Sommer. (2000). A regulatory link between ER-associated protein degradation and the unfolded-protein response.. Nature Cell Biology. 2(7). 379–384. 385 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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