Anja Deutzmann

1.5k total citations · 1 hit paper
15 papers, 860 citations indexed

About

Anja Deutzmann is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Anja Deutzmann has authored 15 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Anja Deutzmann's work include Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Research and Treatments (2 papers). Anja Deutzmann is often cited by papers focused on Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Research and Treatments (2 papers). Anja Deutzmann collaborates with scholars based in United States, Germany and Switzerland. Anja Deutzmann's co-authors include Dean W. Felsher, Renumathy Dhanasekaran, Aida S. Hansen, Arvin M. Gouw, Wadie D. Mahauad‐Fernandez, Elisa Ferrando‐May, Dorit Merhof, Ferdinand Kappes, Srividya Swaminathan and Delaney K. Sullivan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Anja Deutzmann

15 papers receiving 852 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The MYC oncogene — the grand orchestrator of cancer growth and immune evasion

2021 555 citations Renumathy Dhanasekaran, Anja Deutzmann et al. Nature Reviews Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anja Deutzmann United States	9	608	230	189	143	76	15	860
Ana Slipicevic Norway	15	623 1.0×	311 1.4×	152 0.8×	87 0.6×	62 0.8×	37	823
Corey Lourenco Canada	12	827 1.4×	283 1.2×	189 1.0×	69 0.5×	62 0.8×	13	1.1k
Clare M. Adams United States	16	641 1.1×	244 1.1×	225 1.2×	102 0.7×	50 0.7×	26	858
Sekhar Duraisamy United States	13	653 1.1×	174 0.8×	215 1.1×	162 1.1×	90 1.2×	15	922
George A. Ward United Kingdom	14	512 0.8×	199 0.9×	216 1.1×	197 1.4×	36 0.5×	30	894
Megan J. Bywater Australia	12	1.1k 1.8×	278 1.2×	149 0.8×	115 0.8×	44 0.6×	24	1.3k
Gabi Tarcic United States	10	715 1.2×	238 1.0×	136 0.7×	169 1.2×	95 1.3×	23	988
Renaud Grépin France	16	601 1.0×	278 1.2×	278 1.5×	150 1.0×	154 2.0×	26	917
Vanessa Baeriswyl Switzerland	12	728 1.2×	452 2.0×	190 1.0×	150 1.0×	73 1.0×	14	1.1k
Gaynor Davies United Kingdom	19	576 0.9×	351 1.5×	255 1.3×	87 0.6×	99 1.3×	22	1.0k

Countries citing papers authored by Anja Deutzmann

Since Specialization

Citations

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

Fields of papers citing papers by Anja Deutzmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Deutzmann

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

All Works

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15 of 15 papers shown

Deutzmann, Anja, Delaney K. Sullivan, Renumathy Dhanasekaran, et al.. (2024). Nuclear to cytoplasmic transport is a druggable dependency in MYC-driven hepatocellular carcinoma. Nature Communications. 15(1). 963–963. 8 indexed citations

Deutzmann, Anja, et al.. (2024). A big step for MYC-targeted therapies. Trends in cancer. 10(5). 383–385. 3 indexed citations

Smith, Benjamin, Anja Deutzmann, Renumathy Dhanasekaran, et al.. (2023). MYC-driven synthesis of Siglec ligands is a glycoimmune checkpoint. Proceedings of the National Academy of Sciences. 120(11). e2215376120–e2215376120. 40 indexed citations

Sullivan, Delaney K., Anja Deutzmann, Arvin M. Gouw, et al.. (2022). MYC oncogene elicits tumorigenesis associated with embryonic, ribosomal biogenesis, and tissue-lineage dedifferentiation gene expression changes. Oncogene. 41(45). 4960–4970. 15 indexed citations

Dhanasekaran, Renumathy, Anja Deutzmann, Wadie D. Mahauad‐Fernandez, et al.. (2021). The MYC oncogene — the grand orchestrator of cancer growth and immune evasion. Nature Reviews Clinical Oncology. 19(1). 23–36. 555 indexed citations breakdown →

Swaminathan, Srividya, Aida S. Hansen, Line Dam Heftdal, et al.. (2020). MYC functions as a switch for natural killer cell-mediated immune surveillance of lymphoid malignancies. Nature Communications. 11(1). 2860–2860. 51 indexed citations

Hansen, Aida S., et al.. (2020). Spontaneous Regression of Hepatocellular Carcinoma: When the Immune System Stands Up to Cancer. Hepatology. 73(4). 1611–1614. 7 indexed citations

Li, Yulin, Danièl Thomas, Anja Deutzmann, et al.. (2019). Mebendazole for Differentiation Therapy of Acute Myeloid Leukemia Identified by a Lineage Maturation Index. Scientific Reports. 9(1). 16775–16775. 17 indexed citations

Swaminathan, Srividya, Line Dam Heftdal, Renumathy Dhanasekaran, et al.. (2018). MYC Functions As a Master Switch for Natural Killer Cell-Mediated Immune Surveillance of Lymphoid Malignancies. Blood. 132(Supplement 1). 2619–2619. 1 indexed citations

10.

Li, Yulin, Anja Deutzmann, John Bell, Hanlee P. Ji, & Dean W. Felsher. (2017). Abstract PR02: Synthetic lethality screen identifies novel druggable targets in the MYC pathway. Molecular Cancer Therapeutics. 16(10_Supplement). PR02–PR02. 1 indexed citations

11.

Li, Yulin, Anja Deutzmann, Peter S. Choi, Alice C. Fan, & Dean W. Felsher. (2016). BIM mediates oncogene inactivation-induced apoptosis in multiple transgenic mouse models of acute lymphoblastic leukemia. Oncotarget. 7(19). 26926–26934. 10 indexed citations

12.

Deutzmann, Anja, et al.. (2015). Discrimination of cell cycle phases in PCNA-immunolabeled cells. BMC Bioinformatics. 16(1). 180–180. 75 indexed citations

13.

Deutzmann, Anja, et al.. (2014). The human oncoprotein and chromatin architectural factor DEK counteracts DNA replication stress. Oncogene. 34(32). 4270–4277. 31 indexed citations

14.

Saha, Anjan K., Ferdinand Kappes, Anja Deutzmann, et al.. (2013). Intercellular trafficking of the nuclear oncoprotein DEK. Proceedings of the National Academy of Sciences. 110(17). 6847–6852. 39 indexed citations

15.

Blumhardt, Philipp, et al.. (2012). Imaging of the DNA damage‐induced dynamics of nuclear proteins via nonlinear photoperturbation. Journal of Biophotonics. 6(8). 645–655. 7 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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