Ursula Zimber‐Strobl

3.4k total citations
57 papers, 2.3k citations indexed

About

Ursula Zimber‐Strobl is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Ursula Zimber‐Strobl has authored 57 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 24 papers in Pathology and Forensic Medicine and 23 papers in Immunology. Recurrent topics in Ursula Zimber‐Strobl's work include Viral-associated cancers and disorders (32 papers), Lymphoma Diagnosis and Treatment (23 papers) and Immune Cell Function and Interaction (13 papers). Ursula Zimber‐Strobl is often cited by papers focused on Viral-associated cancers and disorders (32 papers), Lymphoma Diagnosis and Treatment (23 papers) and Immune Cell Function and Interaction (13 papers). Ursula Zimber‐Strobl collaborates with scholars based in Germany, United States and Switzerland. Ursula Zimber‐Strobl's co-authors include Lothar J. Strobl, Georg W. Bornkamm, Gabriele Marschall, Gerhard Laux, Bettina Kempkes, Tasuku Honjo, G. W. Bornkamm, Dirk Eick, Markus Brielmeier and Toru Furukawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ursula Zimber‐Strobl

56 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ursula Zimber‐Strobl Germany 30 1.4k 774 755 685 367 57 2.3k
Ayako Arai Japan 28 955 0.7× 578 0.7× 633 0.8× 539 0.8× 107 0.3× 107 2.1k
Lothar J. Strobl Germany 25 960 0.7× 542 0.7× 349 0.5× 1.3k 1.9× 203 0.6× 39 2.4k
M Vuillaume France 17 944 0.7× 227 0.3× 500 0.7× 535 0.8× 207 0.6× 29 1.5k
M Fagioli Italy 27 695 0.5× 939 1.2× 378 0.5× 3.4k 5.0× 240 0.7× 46 4.5k
J A Steitz United States 12 617 0.4× 356 0.5× 257 0.3× 1.6k 2.3× 292 0.8× 13 2.4k
Mamiko Sakata‐Yanagimoto Japan 25 624 0.4× 620 0.8× 558 0.7× 719 1.0× 108 0.3× 96 2.0k
Masao Mizuki Japan 22 518 0.4× 669 0.9× 254 0.3× 1.2k 1.7× 125 0.3× 47 2.3k
Ruth I. Brezinschek United States 24 402 0.3× 1.4k 1.8× 485 0.6× 590 0.9× 149 0.4× 38 2.5k
Elizabeth Raveché United States 31 480 0.3× 1.6k 2.0× 349 0.5× 818 1.2× 192 0.5× 83 2.8k
Niklas Feldhahn United States 21 522 0.4× 642 0.8× 158 0.2× 1.2k 1.7× 211 0.6× 41 2.1k

Countries citing papers authored by Ursula Zimber‐Strobl

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Zimber‐Strobl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursula Zimber‐Strobl. 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 Ursula Zimber‐Strobl. The network helps show where Ursula Zimber‐Strobl may publish in the future.

Co-authorship network of co-authors of Ursula Zimber‐Strobl

This figure shows the co-authorship network connecting the top 25 collaborators of Ursula Zimber‐Strobl. A scholar is included among the top collaborators of Ursula Zimber‐Strobl 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 Ursula Zimber‐Strobl. Ursula Zimber‐Strobl 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.
Lechner, Markus, Marc Schmidt‐Supprian, Andrew J. Yates, et al.. (2024). Notch2 controls developmental fate choices between germinal center and marginal zone B cells upon immunization. Nature Communications. 15(1). 1960–1960. 9 indexed citations
2.
3.
Strobl, Daniel, Yan Wang, Sonja Grath, et al.. (2022). RelB contributes to the survival, migration and lymphomagenesis of B cells with constitutively active CD40 signaling. Frontiers in Immunology. 13. 913275–913275. 4 indexed citations
4.
Lechner, Markus, Thomas Engleitner, Marc Schmidt‐Supprian, et al.. (2021). Notch2-mediated plasticity between marginal zone and follicular B cells. Nature Communications. 12(1). 1111–1111. 31 indexed citations
5.
Lehmann, F., Elias Hobeika, Berit Jungnickel, et al.. (2021). ERK phosphorylation is RAF independent in naïve and activated B cells but RAF dependent in plasma cell differentiation. Science Signaling. 14(682). 4 indexed citations
6.
Böttcher, Katrin, Tilman E. Klassert, Magdalena Stock, et al.. (2021). Context-dependent regulation of immunoglobulin mutagenesis by p53. Molecular Immunology. 138. 128–136. 1 indexed citations
7.
Vincent‐Fabert, Christelle, et al.. (2019). Pre-clinical blocking of PD-L1 molecule, which expression is down regulated by NF-κB, JAK1/JAK2 and BTK inhibitors, induces regression of activated B-cell lymphoma. Cell Communication and Signaling. 17(1). 89–89. 19 indexed citations
8.
Huang, Shizheng, Jihwan Park, Chengxiang Qiu, et al.. (2018). Jagged1/Notch2 controls kidney fibrosis via Tfam-mediated metabolic reprogramming. PLoS Biology. 16(9). e2005233–e2005233. 54 indexed citations
9.
Strobl, Lothar J., Hömig-Hölzel Cornelia, Uta Ferch, et al.. (2014). B-cell Expansion and Lymphomagenesis Induced by Chronic CD40 Signaling Is Strictly Dependent on CD19. Cancer Research. 74(16). 4318–4328. 12 indexed citations
10.
Jeliazkova, Petia, Simone Jörs, Marcel Lee, et al.. (2013). Canonical Notch2 signaling determines biliary cell fates of embryonic hepatoblasts and adult hepatocytes independent of Hes1. Hepatology. 57(6). 2469–2479. 73 indexed citations
11.
Barth, Stephanie, Richard D. Palermo, Ursula Zimber‐Strobl, et al.. (2009). Asymmetric Arginine dimethylation of Epstein–Barr virus nuclear antigen 2 promotes DNA targeting. Virology. 397(2). 299–310. 16 indexed citations
12.
Casola, Stefano, Lothar J. Strobl, Werner Müller, et al.. (2008). Constitutive CD40 signaling in B cells selectively activates the noncanonical NF-κB pathway and promotes lymphomagenesis. The Journal of Experimental Medicine. 205(6). 1317–1329. 93 indexed citations
13.
Cornelia, Hömig-Hölzel, et al.. (2007). LMP1 signaling can replace CD40 signaling in B cells in vivo and has unique features of inducing class-switch recombination to IgG1. Blood. 111(3). 1448–1455. 93 indexed citations
14.
Strobl, Lothar J. & Ursula Zimber‐Strobl. (2003). Magnetic DNA Affinity Purification of a Cellular Transcription Factor. Humana Press eBooks. 174. 271–277. 1 indexed citations
15.
Zimber‐Strobl, Ursula & Lothar J. Strobl. (2001). EBNA2 and Notch signalling in Epstein–Barr virus mediated immortalization of B lymphocytes. Seminars in Cancer Biology. 11(6). 423–434. 98 indexed citations
16.
Strobl, Lothar J., Gabriele Marschall, Markus Brielmeier, et al.. (1997). Both Epstein-Barr Viral Nuclear Antigen 2 (EBNA2) and Activated Notch1 Transactivate Genes by Interacting with the Cellular Protein RBP-Jκ. Immunobiology. 198(1-3). 299–306. 77 indexed citations
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Zimber‐Strobl, Ursula, et al.. (1993). Characterization of the Antibody Response to the Latent Infection Terminal Proteins of Epstein-Barr Virus in Patients with Nasopharyngeal Carcinoma. Journal of General Virology. 74(5). 811–818. 19 indexed citations
20.
Zimber‐Strobl, Ursula, Martin Falk, Gerhard Laux, et al.. (1990). Epstein-Barr Virus Terminal Protein Gene Transcription is Dependent on EBNA2 Expression and Provides Evidence for Viral Integration into the Host Genome. Current topics in microbiology and immunology. 166. 359–366. 4 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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