Daniela Senft

3.1k total citations · 1 hit paper
22 papers, 2.2k citations indexed

About

Daniela Senft is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Daniela Senft has authored 22 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Daniela Senft's work include Cell death mechanisms and regulation (4 papers), Acute Myeloid Leukemia Research (3 papers) and CAR-T cell therapy research (3 papers). Daniela Senft is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Acute Myeloid Leukemia Research (3 papers) and CAR-T cell therapy research (3 papers). Daniela Senft collaborates with scholars based in United States, Germany and Austria. Daniela Senft's co-authors include Ze’ev A. Ronai, Jianfei Qi, Robert Besch, Carola Berking, Thomas Ruzicka, Simon Rothenfußer, Georg Häcker, Stefan Endres, Tobias Hohenauer and Hendrik Poeck and has published in prestigious journals such as Journal of Clinical Investigation, Nature reviews. Cancer and PLoS ONE.

In The Last Decade

Daniela Senft

20 papers receiving 2.2k 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.

UPR, autophagy, and mitochondria crosstalk underlies the ER stress response

2015 857 citations Daniela Senft, Ze’ev A. Ronai Trends in Biochemical Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Senft United States	13	1.4k	547	507	452	354	22	2.2k
Sofie Claerhout Belgium	17	1.0k 0.7×	485 0.9×	589 1.2×	270 0.6×	184 0.5×	24	1.9k
Ria Roelandt Belgium	15	2.0k 1.5×	381 0.7×	800 1.6×	911 2.0×	302 0.9×	22	2.9k
Melissa J. Parsons United States	11	1.8k 1.3×	244 0.4×	393 0.8×	418 0.9×	233 0.7×	18	2.3k
Liping Liu China	25	1.4k 1.0×	302 0.6×	396 0.8×	229 0.5×	650 1.8×	50	2.2k
Patrick Legembre France	29	1.6k 1.2×	338 0.6×	247 0.5×	801 1.8×	361 1.0×	77	2.3k
Yue Zhou China	25	1.0k 0.7×	293 0.5×	217 0.4×	293 0.6×	197 0.6×	120	1.9k
Ulrik Lademann Denmark	17	1.1k 0.8×	326 0.6×	315 0.6×	259 0.6×	378 1.1×	27	1.7k
Futoshi Suizu Japan	20	1.4k 1.0×	280 0.5×	287 0.6×	617 1.4×	311 0.9×	44	2.0k
Zhaoyu Jin United States	13	1.9k 1.4×	231 0.4×	433 0.9×	586 1.3×	502 1.4×	18	2.6k
Farhat L. Khanim United Kingdom	29	1.4k 1.1×	399 0.7×	348 0.7×	307 0.7×	349 1.0×	65	2.6k

Countries citing papers authored by Daniela Senft

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Senft

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Senft

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

All Works

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20 of 20 papers shown

1.

Senft, Daniela. (2025). Fructose takes a detour to feed cancer. Nature reviews. Cancer. 25(2). 77–77. 2 indexed citations

2.

Senft, Daniela. (2024). Sex affects cancer genomes. Nature reviews. Cancer. 24(2). 96–96.

3.

Senft, Daniela. (2024). Developing multiple EGFR-mutant lung cancers. Nature reviews. Cancer. 24(12). 826–826. 1 indexed citations

4.

Senft, Daniela. (2024). Programming immune escape. Nature reviews. Cancer. 24(5). 294–294. 1 indexed citations

5.

Senft, Daniela. (2022). Platelets limit liver tumours. Nature reviews. Cancer. 22(11). 608–608.

6.

Carlet, Michela, Karin Schmelz, Tobias Herold, et al.. (2022). X‐linked inhibitor of apoptosis protein represents a promising therapeutic target for relapsed/refractory ALL. EMBO Molecular Medicine. 15(1). e14557–e14557. 5 indexed citations

7.

Senft, Daniela. (2022). Drivers of lineage plasticity. Nature reviews. Cancer. 22(11). 605–605. 1 indexed citations

8.

Liu, Wen‐Hsin, et al.. (2021). A reporter system for enriching CRISPR/Cas9 knockout cells in technically challenging settings like patient models. Scientific Reports. 11(1). 12649–12649. 4 indexed citations

9.

Fujita, Yu, Roberto Tinoco, Yan Li, Daniela Senft, & Ze’ev A. Ronai. (2019). Ubiquitin Ligases in Cancer Immunotherapy – Balancing Antitumor and Autoimmunity. Trends in Molecular Medicine. 25(5). 428–443. 41 indexed citations

10.

Senft, Daniela & Irmela Jeremias. (2018). A rare subgroup of leukemia stem cells harbors relapse-inducing potential in acute lymphoblastic leukemia. Experimental Hematology. 69. 1–10. 14 indexed citations

11.

Senft, Daniela, Jianfei Qi, & Ze’ev A. Ronai. (2017). Ubiquitin ligases in oncogenic transformation and cancer therapy. Nature reviews. Cancer. 18(2). 69–88. 345 indexed citations

12.

Senft, Daniela, Mark D.M. Leiserson, Eytan Ruppin, & Ze’ev A. Ronai. (2017). Precision Oncology: The Road Ahead. Trends in Molecular Medicine. 23(10). 874–898. 107 indexed citations

13.

Senft, Daniela & Ze’ev A. Ronai. (2016). Adaptive Stress Responses During Tumor Metastasis and Dormancy. Trends in cancer. 2(8). 429–442. 83 indexed citations

14.

Senft, Daniela & Ze’ev A. Ronai. (2016). Regulators of mitochondrial dynamics in cancer. Current Opinion in Cell Biology. 39. 43–52. 209 indexed citations

15.

Senft, Daniela, Achim Weber, Carola Berking, et al.. (2015). In non-transformed cells Bak activates upon loss of anti-apoptotic Bcl-XL and Mcl-1 but in the absence of active BH3-only proteins. Cell Death and Disease. 6(11). e1996–e1996. 19 indexed citations

16.

Senft, Daniela & Ze’ev A. Ronai. (2015). UPR, autophagy, and mitochondria crosstalk underlies the ER stress response. Trends in Biochemical Sciences. 40(3). 141–148. 857 indexed citations breakdown →

17.

Senft, Daniela & Ze’ev A. Ronai. (2015). Immunogenic, cellular, and angiogenic drivers of tumor dormancy‐a melanoma view. Pigment Cell & Melanoma Research. 29(1). 27–42. 26 indexed citations

18.

Gandin, Valentina, Daniela Senft, Ivan Topisirović, & Ze’ev A. Ronai. (2013). RACK1 Function in Cell Motility and Protein Synthesis. Genes & Cancer. 4(9-10). 369–377. 63 indexed citations

19.

Senft, Daniela, et al.. (2012). Selective Induction of Cell Death in Melanoma Cell Lines through Targeting of Mcl-1 and A1. PLoS ONE. 7(1). e30821–e30821. 49 indexed citations

20.

Besch, Robert, Hendrik Poeck, Tobias Hohenauer, et al.. (2009). Proapoptotic signaling induced by RIG-I and MDA-5 results in type I interferon–independent apoptosis in human melanoma cells. Journal of Clinical Investigation. 119(8). 2399–411. 350 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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