Anna Frenzel

1.2k total citations
10 papers, 954 citations indexed

About

Anna Frenzel is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Anna Frenzel has authored 10 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Neurology and 4 papers in Cancer Research. Recurrent topics in Anna Frenzel's work include Neuroblastoma Research and Treatments (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Immune Cell Function and Interaction (3 papers). Anna Frenzel is often cited by papers focused on Neuroblastoma Research and Treatments (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Immune Cell Function and Interaction (3 papers). Anna Frenzel collaborates with scholars based in Sweden, Austria and Australia. Anna Frenzel's co-authors include Andreas Villunger, Francesca Grespi, Marie Arsenian‐Henriksson, Ulrica Westermark, Margareta Wilhelm, Karin Larsson, Ganna Oliynyk, Verena Labi, Jakob Lovén and Lova Segerström and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Anna Frenzel

10 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Frenzel Sweden	10	678	264	217	205	131	10	954
Holly Edwards United States	28	1.7k 2.5×	210 0.8×	383 1.8×	63 0.3×	186 1.4×	69	2.2k
Jun-Ying Zhou United States	11	584 0.9×	181 0.7×	186 0.9×	25 0.1×	111 0.8×	11	749
Merete Hektoen Norway	14	739 1.1×	402 1.5×	592 2.7×	87 0.4×	76 0.6×	22	1.5k
Robert A. Galemmo United States	19	494 0.7×	96 0.4×	158 0.7×	81 0.4×	61 0.5×	46	1.0k
Junjie Piao China	20	676 1.0×	265 1.0×	208 1.0×	41 0.2×	60 0.5×	40	956
Kevin Hudson United Kingdom	17	779 1.1×	156 0.6×	223 1.0×	25 0.1×	145 1.1×	30	1.1k
Nicholas Wong Canada	16	758 1.1×	520 2.0×	251 1.2×	34 0.2×	110 0.8×	24	1.1k
Jijiang Zhu United States	12	827 1.2×	341 1.3×	586 2.7×	54 0.3×	106 0.8×	14	1.2k
Wenqing Qi United States	20	668 1.0×	83 0.3×	370 1.7×	59 0.3×	86 0.7×	42	1.0k
Nengming Lin China	19	569 0.8×	173 0.7×	221 1.0×	22 0.1×	72 0.5×	55	870

Countries citing papers authored by Anna Frenzel

Since Specialization

Citations

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

Fields of papers citing papers by Anna Frenzel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Frenzel

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

All Works

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10 of 10 papers shown

Müller, Inga, Karin Larsson, Anna Frenzel, et al.. (2014). Targeting of the MYCN Protein with Small Molecule c-MYC Inhibitors. PLoS ONE. 9(5). e97285–e97285. 76 indexed citations

Frenzel, Anna, Ganna Oliynyk, Lova Segerström, et al.. (2013). MYC inhibition induces metabolic changes leading to accumulation of lipid droplets in tumor cells. Proceedings of the National Academy of Sciences. 110(25). 10258–10263. 183 indexed citations

Wiegmans, Adrian P., Amber E. Alsop, Michael Bots, et al.. (2011). Deciphering the Molecular Events Necessary for Synergistic Tumor Cell Apoptosis Mediated by the Histone Deacetylase Inhibitor Vorinostat and the BH3 Mimetic ABT-737. Cancer Research. 71(10). 3603–3615. 45 indexed citations

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

Frenzel, Anna, et al.. (2011). Identification of Cytotoxic Drugs That Selectively Target Tumor Cells with MYC Overexpression. PLoS ONE. 6(11). e27988–e27988. 25 indexed citations

Schuster, Christian, Angelika Berger, Eva Maria Putz, et al.. (2011). The cooperating mutation or “second hit” determines the immunologic visibility toward MYC-induced murine lymphomas. Blood. 118(17). 4635–4645. 28 indexed citations

Frenzel, Anna, et al.. (2010). Targeting MYC-Regulated miRNAs to Combat Cancer. Genes & Cancer. 1(6). 660–667. 52 indexed citations

Frenzel, Anna, et al.. (2009). Bcl2 family proteins in carcinogenesis and the treatment of cancer. APOPTOSIS. 14(4). 584–596. 273 indexed citations

Frenzel, Anna, Verena Labi, Christian Ploner, et al.. (2009). Suppression of B-cell lymphomagenesis by the BH3-only proteins Bmf and Bad. Blood. 115(5). 995–1005. 52 indexed citations

10.

Labi, Verena, Miriam Erlacher, Stephan Kießling, et al.. (2008). Loss of the BH3-only protein Bmf impairs B cell homeostasis and accelerates γ irradiation–induced thymic lymphoma development. The Journal of Experimental Medicine. 205(3). 641–655. 98 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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