Margareta Wilhelm

1.9k total citations
30 papers, 1.4k citations indexed

About

Margareta Wilhelm is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Margareta Wilhelm has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Margareta Wilhelm's work include Cancer-related Molecular Pathways (13 papers), Epigenetics and DNA Methylation (7 papers) and RNA Research and Splicing (5 papers). Margareta Wilhelm is often cited by papers focused on Cancer-related Molecular Pathways (13 papers), Epigenetics and DNA Methylation (7 papers) and RNA Research and Splicing (5 papers). Margareta Wilhelm collaborates with scholars based in Sweden, Canada and Italy. Margareta Wilhelm's co-authors include Marie Arsenian‐Henriksson, Klas G. Wiman, Tak W. Mak, Richard Tomasini, Gerry Melino, Katsuya Tsuchihara, Alessandro Rufini, David R. Kaplan, Annick Itie-YouTen and Andrew Wakeham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Oncogene.

In The Last Decade

Margareta Wilhelm

30 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margareta Wilhelm Sweden 19 1.1k 703 340 179 149 30 1.4k
Hisashi Shioya United States 8 1.0k 1.0× 674 1.0× 164 0.5× 210 1.2× 37 0.2× 8 1.4k
Michael Tasch United States 6 950 0.9× 816 1.2× 157 0.5× 89 0.5× 37 0.2× 6 1.4k
Jana Karásková Canada 17 870 0.8× 379 0.5× 333 1.0× 37 0.2× 115 0.8× 22 1.4k
Susanne Saurer Switzerland 13 808 0.8× 791 1.1× 236 0.7× 59 0.3× 67 0.4× 17 1.5k
N. Shishido United States 3 974 0.9× 839 1.2× 152 0.4× 82 0.5× 35 0.2× 5 1.4k
Peter J. Hurlin United States 27 1.6k 1.5× 580 0.8× 296 0.9× 53 0.3× 84 0.6× 47 2.0k
Steffi Herold Germany 16 1.4k 1.3× 486 0.7× 267 0.8× 28 0.2× 135 0.9× 22 1.6k
Maria Cristina Moroni Italy 15 2.1k 2.0× 1.4k 1.9× 347 1.0× 117 0.7× 47 0.3× 19 2.5k
Larisa Litovchick United States 24 1.4k 1.3× 669 1.0× 245 0.7× 33 0.2× 61 0.4× 54 1.8k

Countries citing papers authored by Margareta Wilhelm

Since Specialization
Citations

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

Fields of papers citing papers by Margareta Wilhelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margareta Wilhelm

This figure shows the co-authorship network connecting the top 25 collaborators of Margareta Wilhelm. A scholar is included among the top collaborators of Margareta Wilhelm 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 Margareta Wilhelm. Margareta Wilhelm 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.
Coyle, Beth, et al.. (2024). Development of an orthotopic medulloblastoma zebrafish model for rapid drug testing. Neuro-Oncology. 27(3). 779–794. 4 indexed citations
2.
López‐Ferreras, Lorena, Benilde Jiménez, Lars Holmgren, et al.. (2022). p73 is required for vessel integrity controlling endothelial junctional dynamics through Angiomotin. Cellular and Molecular Life Sciences. 79(10). 535–535. 6 indexed citations
3.
Grinkevich, Vera, Natalia Issaeva, Virginia Andreotti, et al.. (2022). Novel Allosteric Mechanism of Dual p53/MDM2 and p53/MDM4 Inhibition by a Small Molecule. Frontiers in Molecular Biosciences. 9. 823195–823195. 5 indexed citations
4.
Stantic, Marina, et al.. (2021). TAp73 represses NF-κB–mediated recruitment of tumor-associated macrophages in breast cancer. Proceedings of the National Academy of Sciences. 118(10). 31 indexed citations
5.
Milosevic, Jelena, Susanne Fransson, Miklós Gulyás, et al.. (2021). High Expression of PPM1D Induces Tumors Phenotypically Similar to TP53 Loss-of-Function Mutations in Mice. Cancers. 13(21). 5493–5493. 8 indexed citations
6.
7.
Das, Ishani, Margareta Wilhelm, Veronica Höiom, et al.. (2019). Combining ERBB family and MET inhibitors is an effective therapeutic strategy in cutaneous malignant melanoma independent of BRAF/NRAS mutation status. Cell Death and Disease. 10(9). 663–663. 20 indexed citations
8.
Kogner, Per, et al.. (2018). Generation of induced pluripotent stem cell lines from two Neuroblastoma patients carrying a germline ALK R1275Q mutation. Stem Cell Research. 34. 101356–101356. 3 indexed citations
9.
Susanto, Evelyn, et al.. (2018). Modeling cancer using patient-derived induced pluripotent stem cells to understand development of childhood malignancies. Cell Death Discovery. 4(1). 7–7. 25 indexed citations
10.
Stantic, Marina, et al.. (2018). ΔNp73 enhances HIF-1α protein stability through repression of the ECV complex. Oncogene. 37(27). 3729–3739. 3 indexed citations
11.
Stantic, Marina, et al.. (2017). ΔNp73 regulates the expression of the multidrug-resistance genes ABCB1 and ABCB5 in breast cancer and melanoma cells - a short report. Cellular Oncology. 40(6). 631–638. 16 indexed citations
12.
Adameyko, Igor, Margareta Wilhelm, Nicolas Fritz, et al.. (2014). MYC proteins promote neuronal differentiation by controlling the mode of progenitor cell division. EMBO Reports. 15(4). 383–391. 50 indexed citations
13.
Kostecka, Anna, Alicja Sznarkowska, Pilar Acedo, et al.. (2014). JNK–NQO1 axis drives TAp73-mediated tumor suppression upon oxidative and proteasomal stress. Cell Death and Disease. 5(10). e1484–e1484. 29 indexed citations
14.
Tomasini, Richard, Véronique Secq, Laurent Pouyet, et al.. (2012). TAp73 is required for macrophage-mediated innate immunity and the resolution of inflammatory responses. Cell Death and Differentiation. 20(2). 293–301. 27 indexed citations
15.
Lundström, Ulf, David Larsson, Anna Burvall, et al.. (2012). X-ray phase-contrast CO2angiography for sub-10 μm vessel imaging. Physics in Medicine and Biology. 57(22). 7431–7441. 19 indexed citations
16.
Westermark, Ulrica, Margareta Wilhelm, Anna Frenzel, & Marie Arsenian‐Henriksson. (2011). The MYCN oncogene and differentiation in neuroblastoma. Seminars in Cancer Biology. 21(4). 256–266. 122 indexed citations
17.
Vilborg, Anna, Cinzia Bersani, Margareta Wilhelm, & Klas G. Wiman. (2011). The p53 target Wig-1: a regulator of mRNA stability and stem cell fate?. Cell Death and Differentiation. 18(9). 1434–1440. 27 indexed citations
18.
Wilhelm, Margareta, Alessandro Rufini, Monica K. Wetzel, et al.. (2010). Isoform-specific p73 knockout mice reveal a novel role for ΔNp73 in the DNA damage response pathway. Genes & Development. 24(6). 549–560. 177 indexed citations
19.
Wilhelm, Margareta, Cristina Méndez‐Vidal, & Klas G. Wiman. (2002). Identification of functional p53‐binding motifs in the mouse wig‐1 promoter. FEBS Letters. 524(1-3). 69–72. 12 indexed citations
20.
Wang, Qian, Cristina Méndez‐Vidal, Charlotte Asker, et al.. (2001). Human wig-1, a p53 target gene that encodes a growth inhibitory zinc finger protein. Oncogene. 20(39). 5466–5474. 52 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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