Tesa Severson

7.2k total citations
29 papers, 835 citations indexed

About

Tesa Severson is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Tesa Severson has authored 29 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Cancer Research. Recurrent topics in Tesa Severson's work include DNA Repair Mechanisms (5 papers), Estrogen and related hormone effects (5 papers) and Cancer Genomics and Diagnostics (5 papers). Tesa Severson is often cited by papers focused on DNA Repair Mechanisms (5 papers), Estrogen and related hormone effects (5 papers) and Cancer Genomics and Diagnostics (5 papers). Tesa Severson collaborates with scholars based in Netherlands, United States and United Kingdom. Tesa Severson's co-authors include Wilbert Zwart, Lodewyk F.A. Wessels, Sabine C. Linn, P. J. van Diest, Fred van Leeuwen, Tomasz Ahrends, August E. Woerner, Michael F. Hammer, René Bernards and Evert de Vries and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Tesa Severson

28 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tesa Severson Netherlands 17 459 249 237 156 120 29 835
Jessica L. Smith United States 12 328 0.7× 208 0.8× 222 0.9× 32 0.2× 93 0.8× 30 888
Chen-Hua Chuang United States 12 607 1.3× 200 0.8× 135 0.6× 185 1.2× 80 0.7× 16 855
Bingnan Gu United States 17 1.2k 2.5× 295 1.2× 214 0.9× 242 1.6× 107 0.9× 24 1.4k
Fleur Hammet Australia 14 391 0.9× 166 0.7× 313 1.3× 202 1.3× 59 0.5× 32 750
Marc Kenzelmann Germany 13 693 1.5× 83 0.3× 102 0.4× 143 0.9× 116 1.0× 18 950
Nicole Manning United States 9 416 0.9× 398 1.6× 500 2.1× 168 1.1× 69 0.6× 11 971
Anita Göndör Sweden 15 1.9k 4.1× 162 0.7× 421 1.8× 338 2.2× 75 0.6× 27 2.1k
Jit Kong Cheong Singapore 13 710 1.5× 109 0.4× 82 0.3× 160 1.0× 55 0.5× 24 925
Lisa Ann Cirillo United States 15 1.6k 3.5× 190 0.8× 362 1.5× 134 0.9× 109 0.9× 21 1.9k
Liviu Malureanu United States 18 1.9k 4.2× 497 2.0× 219 0.9× 214 1.4× 78 0.7× 21 2.3k

Countries citing papers authored by Tesa Severson

Since Specialization
Citations

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

Fields of papers citing papers by Tesa Severson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tesa Severson

This figure shows the co-authorship network connecting the top 25 collaborators of Tesa Severson. A scholar is included among the top collaborators of Tesa Severson 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 Tesa Severson. Tesa Severson 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.
Bossi, Daniela, Tesa Severson, Joseph C. Siefert, et al.. (2025). TRIM24 as a therapeutic target in endocrine treatment–resistant breast cancer. Proceedings of the National Academy of Sciences. 122(33). e2507571122–e2507571122.
2.
Kojić, Aleksandar, Marlous Hoogstraat, Karianne Schuurman, et al.. (2025). Endometrial tumorigenesis involves epigenetic plasticity demarcating non-coding somatic mutations and 3D-genome alterations. Genome biology. 26(1). 124–124. 1 indexed citations
3.
Linder, Simon, Tesa Severson, Ekaterina Nevedomskaya, et al.. (2023). Grade Group 1 Prostate Cancers Exhibit Tumor-defining Androgen Receptor–driven Programs. European Urology. 84(5). 455–460. 3 indexed citations
4.
Mayayo‐Peralta, Isabel, Karianne Schuurman, Selçuk Yavuz, et al.. (2023). PAXIP1 and STAG2 converge to maintain 3D genome architecture and facilitate promoter/enhancer contacts to enable stress hormone-dependent transcription. Nucleic Acids Research. 51(18). 9576–9593. 10 indexed citations
5.
Severson, Tesa, Xintao Qiu, Mohammed Alshalalfa, et al.. (2022). Androgen receptor reprogramming demarcates prognostic, context-dependent gene sets in primary and metastatic prostate cancer. Clinical Epigenetics. 14(1). 60–60. 13 indexed citations
6.
Shafi, Ayesha A., Christopher McNair, Jennifer J. McCann, et al.. (2021). The circadian cryptochrome, CRY1, is a pro-tumorigenic factor that rhythmically modulates DNA repair. Nature Communications. 12(1). 401–401. 79 indexed citations
7.
Kilbey, Anna, Tesa Severson, Sandeep Dhayade, et al.. (2020). The MSP‐RON axis stimulates cancer cell growth in models of triple negative breast cancer. Molecular Oncology. 14(8). 1868–1880. 12 indexed citations
8.
Mazrooei, Parisa, Ken J. Kron, Yanyun Zhu, et al.. (2019). Cistrome Partitioning Reveals Convergence of Somatic Mutations and Risk Variants on Master Transcription Regulators in Primary Prostate Tumors. Cancer Cell. 36(6). 674–689.e6. 39 indexed citations
9.
Ahrends, Tomasz, Tesa Severson, Nikolina Bąbała, et al.. (2019). CD4+ T cell help creates memory CD8+ T cells with innate and help-independent recall capacities. Nature Communications. 10(1). 5531–5531. 96 indexed citations
10.
Severson, Tesa, Yongsoo Kim, Stacey E. P. Joosten, et al.. (2018). Characterizing steroid hormone receptor chromatin binding landscapes in male and female breast cancer. Nature Communications. 9(1). 482–482. 51 indexed citations
11.
Berns, Katrien, Joseph J. Caumanns, E. Marielle Hijmans, et al.. (2018). ARID1A mutation sensitizes most ovarian clear cell carcinomas to BET inhibitors. Oncogene. 37(33). 4611–4625. 77 indexed citations
12.
Beelen, Karin, Mark Opdam, Tesa Severson, et al.. (2018). Mitotic count can predict tamoxifen benefit in postmenopausal breast cancer patients while Ki67 score cannot. BMC Cancer. 18(1). 761–761. 6 indexed citations
13.
Severson, Tesa & Wilbert Zwart. (2017). A review of estrogen receptor/androgen receptor genomics in male breast cancer. Endocrine Related Cancer. 24(3). R27–R34. 21 indexed citations
14.
Severson, Tesa, Denise M. Wolf, Christina Yau, et al.. (2017). The BRCA1ness signature is associated significantly with response to PARP inhibitor treatment versus control in the I-SPY 2 randomized neoadjuvant setting. Breast Cancer Research. 19(1). 99–99. 53 indexed citations
15.
Droog, Marjolein, Ekaterina Nevedomskaya, Yongsoo Kim, et al.. (2016). Comparative Cistromics Reveals Genomic Cross-talk between FOXA1 and ERα in Tamoxifen-Associated Endometrial Carcinomas. Cancer Research. 76(13). 3773–3784. 26 indexed citations
16.
Severson, Tesa, Justine Peeters, Ian J. Majewski, et al.. (2015). BRCA1‐like signature in triple negative breast cancer: Molecular and clinical characterization reveals subgroups with therapeutic potential. Molecular Oncology. 9(8). 1528–1538. 46 indexed citations
18.
Beelen, Karin, Mark Opdam, Tesa Severson, et al.. (2013). CYP2C19*2 predicts substantial tamoxifen benefit in postmenopausal breast cancer patients randomized between adjuvant tamoxifen and no systemic treatment. Breast Cancer Research and Treatment. 139(3). 649–655. 21 indexed citations
19.
Wall, Jeffrey D., Murray P. Cox, Fernando L. Méndez, et al.. (2008). A novel DNA sequence database for analyzing human demographic history. Genome Research. 18(8). 1354–1361. 64 indexed citations
20.
Xu, Hongshi, et al.. (2002). Expression Profile of Active Genes in Human Trabecular Meshwork Cells. Investigative Ophthalmology & Visual Science. 43(13). 1021–1021. 1 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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