Jens Stanelle

1.3k total citations
13 papers, 975 citations indexed

About

Jens Stanelle is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Jens Stanelle has authored 13 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Jens Stanelle's work include Cancer-related Molecular Pathways (7 papers), Lymphoma Diagnosis and Treatment (4 papers) and RNA modifications and cancer (3 papers). Jens Stanelle is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Lymphoma Diagnosis and Treatment (4 papers) and RNA modifications and cancer (3 papers). Jens Stanelle collaborates with scholars based in Germany, Poland and Italy. Jens Stanelle's co-authors include Ralf Küppers, Martin‐Leo Hansmann, Brigitte M. Pützer, Roland Schmitz, Inga Vater, José I. Martı́n-Subero, Gunhild Mechtersheimer, Wolfram Klapper, Stefan Gesk and Maciej Giefing and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Jens Stanelle

13 papers receiving 966 citations

Peers

Jens Stanelle
Archito T. Tamayo United States
Paula Fukushima United States
Matthew Holt United States
Virginia Snell United States
Daniel J. Hodson United Kingdom
Linda C. Yoshimura United States
Archito T. Tamayo United States
Jens Stanelle
Citations per year, relative to Jens Stanelle Jens Stanelle (= 1×) peers Archito T. Tamayo

Countries citing papers authored by Jens Stanelle

Since Specialization
Citations

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

Fields of papers citing papers by Jens Stanelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Stanelle

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

All Works

13 of 13 papers shown
1.
Sellmann, Ludger, Alexander Carpinteiro, Holger Nückel, et al.. (2012). p53 protein expression in chronic lymphocytic leukemia. Leukemia & lymphoma. 53(7). 1282–1288. 8 indexed citations
2.
Sellmann, Ludger, René Scholtysik, Markus Kreuz, et al.. (2010). Gene dosage effects in chronic lymphocytic leukemia. Cancer Genetics and Cytogenetics. 203(2). 149–160. 12 indexed citations
3.
Stanelle, Jens, Claudia Döring, Martin‐Leo Hansmann, & Ralf Küppers. (2010). Mechanisms of aberrant GATA3 expression in classical Hodgkin lymphoma and its consequences for the cytokine profile of Hodgkin and Reed/Sternberg cells. Blood. 116(20). 4202–4211. 32 indexed citations
4.
Schmitz, Roland, Martin‐Leo Hansmann, José I. Martı́n-Subero, et al.. (2009). TNFAIP3 (A20) is a tumor suppressor gene in Hodgkin lymphoma and primary mediastinal B cell lymphoma. The Journal of Experimental Medicine. 206(5). 981–989. 344 indexed citations
5.
Schmitz, Roland, Martin‐Leo Hansmann, José I. Martı́n-Subero, et al.. (2009). TNFAIP3(A20) is a tumor suppressor gene in Hodgkin lymphoma and primary mediastinal B cell lymphoma. The Journal of Cell Biology. 185(3). i4–i4. 1 indexed citations
6.
Schmitz, Roland, Jens Stanelle, Martin‐Leo Hansmann, & Ralf Küppers. (2009). Pathogenesis of Classical and Lymphocyte-Predominant Hodgkin Lymphoma. Annual Review of Pathology Mechanisms of Disease. 4(1). 151–174. 129 indexed citations
7.
Kurth, Julia, et al.. (2008). EBV transformation overrides gene expression patterns of B cell differentiation stages. Molecular Immunology. 45(11). 3133–3141. 36 indexed citations
8.
Stanelle, Jens & Brigitte M. Pützer. (2006). E2F1-induced apoptosis: turning killers into therapeutics. Trends in Molecular Medicine. 12(4). 177–185. 96 indexed citations
9.
Nückel, Holger, Ulrich H. Frey, Ludger Sellmann, et al.. (2006). Association of a novel regulatory polymorphism (−938C>A) in the BCL2 gene promoter with disease progression and survival in chronic lymphocytic leukemia. Blood. 109(1). 290–297. 97 indexed citations
10.
Stanelle, Jens, et al.. (2004). A novel mitochondrial protein DIP mediates E2F1-induced apoptosis independently of p53. Cell Death and Differentiation. 12(4). 347–357. 24 indexed citations
11.
Stiewe, Thorsten, et al.. (2003). Inactivation of Retinoblastoma (RB) Tumor Suppressor by Oncogenic Isoforms of the p53 Family Member p73. Journal of Biological Chemistry. 278(16). 14230–14236. 32 indexed citations
12.
Stanelle, Jens, et al.. (2003). Mechanism of E2F1-induced apoptosis in primary vascular smooth muscle cells. Cardiovascular Research. 59(2). 512–519. 15 indexed citations
13.
Stanelle, Jens. (2002). Gene expression changes in response to E2F1 activation. Nucleic Acids Research. 30(8). 1859–1867. 149 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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