Dora Hammerl

607 total citations
13 papers, 403 citations indexed

About

Dora Hammerl is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Dora Hammerl has authored 13 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 11 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Dora Hammerl's work include Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (8 papers) and CAR-T cell therapy research (5 papers). Dora Hammerl is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (8 papers) and CAR-T cell therapy research (5 papers). Dora Hammerl collaborates with scholars based in Netherlands, Austria and Australia. Dora Hammerl's co-authors include Reno Debets, John W.M. Martens, Marcel Smid, Stefan Sleijfer, A. Mieke Timmermans, Marleen Kok, Carolien H. M. van Deurzen, Rebecca Wijers, Hayri E. Balcıoğlu and Roberto Salgado and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Dora Hammerl

9 papers receiving 401 citations

Peers

Dora Hammerl
Dora Hammerl
Citations per year, relative to Dora Hammerl Dora Hammerl (= 1×) peers Mariano F. Zacarías Fluck

Countries citing papers authored by Dora Hammerl

Since Specialization
Citations

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

Fields of papers citing papers by Dora Hammerl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dora Hammerl

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

All Works

13 of 13 papers shown
1.
Debets, Reno, et al.. (2025). Tumor-associated macrophages: untapped molecular targets to improve T cell-based immunotherapy. Molecular Cancer. 24(1). 261–261.
2.
Balcıoğlu, Hayri E., Rebecca Wijers, Marcel Smid, et al.. (2024). TME-analyzer: a new interactive and dynamic image analysis tool that identified immune cell distances as predictors for survival of triple negative breast cancer patients. SHILAP Revista de lepidopterología. 2(1). 21–21. 2 indexed citations
4.
Hammerl, Dora, et al.. (2022). Cancer germline antigens and tumor-agnostic CD8+ T cell evasion. Trends in Immunology. 43(5). 391–403. 7 indexed citations
5.
Brakel, Mandy van, et al.. (2022). Gene Engineering T Cells with T-Cell Receptor for Adoptive Therapy. Methods in molecular biology. 2453. 209–229.
6.
Smid, Marcel, Ronald van Marion, Dora Hammerl, et al.. (2021). Transcriptomic Properties of HER2+ Ductal Carcinoma In Situ of the Breast Associate with Absence of Immune Cells. Biology. 10(8). 768–768.
7.
Mutsaers, Pim, Hayri E. Balcıoğlu, Rowan Kuiper, et al.. (2021). V-Domain Ig Suppressor of T Cell Activation (VISTA) Expression Is an Independent Prognostic Factor in Multiple Myeloma. Cancers. 13(9). 2219–2219. 12 indexed citations
8.
Hammerl, Dora, John W.M. Martens, Mieke Timmermans, et al.. (2021). Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer. Nature Communications. 12(1). 5668–5668. 135 indexed citations
9.
Hammerl, Dora, Maarten P.G. Massink, Marcel Smid, et al.. (2019). Clonality, Antigen Recognition, and Suppression of CD8+ T Cells Differentially Affect Prognosis of Breast Cancer Subtypes. Clinical Cancer Research. 26(2). 505–517. 37 indexed citations
10.
Hammerl, Dora, Dietmar Rieder, John W.M. Martens, Zlatko Trajanoski, & Reno Debets. (2018). Adoptive T Cell Therapy: New Avenues Leading to Safe Targets and Powerful Allies. Trends in Immunology. 39(11). 921–936. 34 indexed citations
11.
Sieuwerts, Anieta M., Vanja de Weerd, Marcel Smid, et al.. (2018). Association of microRNA-7 and its binding partner CDR1-AS with the prognosis and prediction of 1st-line tamoxifen therapy in breast cancer. Scientific Reports. 8(1). 9657–9657. 33 indexed citations
12.
Hammerl, Dora, et al.. (2018). Tumor-infiltrating lymphocytes and ductal carcinoma in situ of the breast: friends or foes?. Modern Pathology. 31(7). 1012–1025. 28 indexed citations
13.
Hammerl, Dora, Marcel Smid, A. Mieke Timmermans, et al.. (2017). Breast cancer genomics and immuno-oncological markers to guide immune therapies. Seminars in Cancer Biology. 52(Pt 2). 178–188. 115 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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