Jenny Wegert

2.9k total citations
22 papers, 444 citations indexed

About

Jenny Wegert is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jenny Wegert has authored 22 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jenny Wegert's work include Renal and related cancers (19 papers), Renal cell carcinoma treatment (8 papers) and Pluripotent Stem Cells Research (2 papers). Jenny Wegert is often cited by papers focused on Renal and related cancers (19 papers), Renal cell carcinoma treatment (8 papers) and Pluripotent Stem Cells Research (2 papers). Jenny Wegert collaborates with scholars based in Germany, United Kingdom and Netherlands. Jenny Wegert's co-authors include Manfred Gessler, Norbert Graf, Rhoikos Furtwängler, Ivo Leuschner, Stefanie Wittmann, Kathy Pritchard‐Jones, Eva Geissinger, Sergey Popov, Richard D. Williams and Gordan Vujanić and has published in prestigious journals such as Bioinformatics, Cancer Research and Oncogene.

In The Last Decade

Jenny Wegert

21 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jenny Wegert Germany 12 389 141 99 66 49 22 444
Moonjoo Han United States 6 282 0.7× 221 1.6× 44 0.4× 66 1.0× 42 0.9× 7 483
Gregory McCarty United States 10 309 0.8× 129 0.9× 13 0.1× 130 2.0× 32 0.7× 12 416
Ankie Poutsma Netherlands 12 263 0.7× 23 0.2× 177 1.8× 151 2.3× 52 1.1× 19 512
Xiaojing Zhang China 9 252 0.6× 31 0.2× 20 0.2× 66 1.0× 48 1.0× 21 354
Hairui Sun China 9 122 0.3× 57 0.4× 33 0.3× 32 0.5× 69 1.4× 24 269
Giovanni Savarese Italy 10 80 0.2× 46 0.3× 58 0.6× 46 0.7× 38 0.8× 43 250
Deiter J. Duff United States 6 369 0.9× 33 0.2× 29 0.3× 83 1.3× 64 1.3× 13 440
Elo Madissoon Finland 7 234 0.6× 44 0.3× 22 0.2× 38 0.6× 49 1.0× 10 318
Attila Mokánszki Hungary 9 70 0.2× 35 0.2× 35 0.4× 50 0.8× 52 1.1× 37 291
Liucheng Rong China 11 196 0.5× 29 0.2× 32 0.3× 149 2.3× 21 0.4× 22 324

Countries citing papers authored by Jenny Wegert

Since Specialization
Citations

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

Fields of papers citing papers by Jenny Wegert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jenny Wegert

This figure shows the co-authorship network connecting the top 25 collaborators of Jenny Wegert. A scholar is included among the top collaborators of Jenny Wegert 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 Jenny Wegert. Jenny Wegert 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.
Al‐Saadi, Reem, Rhoikos Furtwängler, Norbert Graf, et al.. (2025). The Clinical Impact of Somatic Copy Number Variations in Patients With Stage IV Wilms Tumor Enrolled in the SIOP 2001 Trial and Study. Pediatric Blood & Cancer. 72(4). e31580–e31580.
2.
Wegert, Jenny, Silke Appenzeller, Sabrina Bausenwein, et al.. (2024). Wilms tumor primary cultures capture phenotypic heterogeneity and facilitate preclinical screening. Translational Oncology. 52. 102263–102263. 1 indexed citations
3.
Wegert, Jenny, Taryn D. Treger, Barbara Ziegler, et al.. (2023). TRIM28 inactivation in epithelial nephroblastoma is frequent and often associated with predisposing TRIM28 germline variants. The Journal of Pathology. 262(1). 10–21. 3 indexed citations
4.
Walz, Amy L., Mariana Maschietto, Brian D. Crompton, et al.. (2023). Tumor biology, biomarkers, and liquid biopsy in pediatric renal tumors. Pediatric Blood & Cancer. 70(S2). e30130–e30130. 9 indexed citations
5.
Selle, Barbara, David Jones, Christian Vokuhl, et al.. (2022). The genomic landscape of pediatric renal cell carcinomas. iScience. 25(4). 104167–104167. 5 indexed citations
6.
Schlösser, Andreas, et al.. (2021). MYCN and MAX alterations in Wilms tumor and identification of novel N-MYC interaction partners as biomarker candidates. Cancer Cell International. 21(1). 555–555. 19 indexed citations
7.
Wegert, Jenny, Silke Appenzeller, Christoph Otto, et al.. (2019). High-risk blastemal Wilms tumor can be modeled by 3D spheroid cultures in vitro. Oncogene. 39(4). 849–861. 15 indexed citations
8.
Metzler, Markus, Juliane Hoyer, Jenny Wegert, et al.. (2019). TRIM28 haploinsufficiency predisposes to Wilms tumor. Klinische Pädiatrie. 1 indexed citations
9.
Kehl, Tim, Lara Schneider, Kathrin Kattler, et al.. (2018). The role of TCF3 as potential master regulator in blastemal Wilms tumors. International Journal of Cancer. 144(6). 1432–1443. 4 indexed citations
10.
Kehl, Tim, Lara Schneider, Kathrin Kattler, et al.. (2018). REGGAE: a novel approach for the identification of key transcriptional regulators. Bioinformatics. 34(20). 3503–3510. 6 indexed citations
11.
Williams, Richard D., Tasnim Chagtai, John Apps, et al.. (2015). Multiple mechanisms of MYCN dysregulation in Wilms tumour. Oncotarget. 6(9). 7232–7243. 76 indexed citations
12.
Schmitt, J., Andreas Keller, Petra Leidinger, et al.. (2011). Multicenter study identified molecular blood‐born protein signatures for Wilms Tumor. International Journal of Cancer. 131(3). 673–682. 3 indexed citations
13.
Wegert, Jenny, Sabrina Bausenwein, Susanne Kneitz, et al.. (2011). Retinoic acid pathway activity in wilms tumors and characterization of biological responses in vitro. Molecular Cancer. 10(1). 136–136. 21 indexed citations
14.
Wegert, Jenny, Sabrina Bausenwein, Sabine Roth, et al.. (2011). Characterization of primary wilms tumor cultures as an in vitro model. Genes Chromosomes and Cancer. 51(1). 92–104. 18 indexed citations
15.
Williams, Richard D., Reem Al‐Saadi, Tasnim Chagtai, et al.. (2010). Subtype-Specific FBXW7 Mutation and MYCN Copy Number Gain in Wilms' Tumor. Clinical Cancer Research. 16(7). 2036–2045. 55 indexed citations
16.
Drake, Kylie M., E. Cristy Ruteshouser, Rachael Natrajan, et al.. (2009). Loss of Heterozygosity at 2q37 in Sporadic Wilms' Tumor: Putative Role for miR-562. Clinical Cancer Research. 15(19). 5985–5992. 51 indexed citations
17.
Wegert, Jenny, Stefanie Wittmann, Ivo Leuschner, et al.. (2009). WTX inactivation is a frequent, but late event in Wilms tumors without apparent clinical impact. Genes Chromosomes and Cancer. 48(12). 1102–1111. 44 indexed citations
18.
Wittmann, Stefanie, Birgit Zirn, Rhoikos Furtwängler, et al.. (2008). New prognostic markers revealed by evaluation of genes correlated with clinical parameters in Wilms tumors. Genes Chromosomes and Cancer. 47(5). 386–395. 48 indexed citations
19.
Henke, Andreas, et al.. (2007). Recombinant coxsackievirus vectors for prevention and therapy of virus-induced heart disease. International Journal of Medical Microbiology. 298(1-2). 127–134. 13 indexed citations
20.
Imhof, Diana, et al.. (2004). Synthesis of linear and cyclic phosphopeptides as ligands for theN-terminal SH2-domain of protein tyrosine phosphatase SHP-1. Journal of Peptide Science. 11(7). 390–400. 15 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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