Daniela Senft

3.1k citations
22 papers · 2.3k · 1 hit paper · h-index 13

Impact in

Papers in

    • Cell death mechanisms and regulation 4
    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 2
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Cells and Metastasis 3
    • CAR-T cell therapy research 3

Daniela Senft

20 papers receiving 2.3k citations

Daniela Senft's Hit Papers

UPR, autophagy, and mitochondria crosstalk underlies the ER stress response 2015 · 895 citations
8950+3+7Years since publication250500750

Peers

Daniela Senft
Comparison fields: 5 of 111
  • Cell Biology 525
  • Cancer Research 316
  • Immunology 430
  • Molecular Biology 1.3k
  • Epidemiology 475
Replace Ria Roelandt with:
Ria Roelandt Belgium
Sofie Claerhout Belgium
Melissa J. Parsons United States
Fabien Gautier France
Sébastien Cagnol Canada
Liping Liu China
Zhaoyu Jin United States
Cezary Wójcik United States
Songmin Ying China
In‐Chul Park South Korea
Daniela Senft relative to Ria Roelandt Belgium Ria Roelandt's profile →
Citations per field
00.5×1.5×
Ria Roelandt · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniela Senft, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Senft Line = papers co-authored together Daniela Senft links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
UPR, autophagy, and mitochondria crosstalk underlies the ER stress response
Hit paper breakdown →
2015895
2 2009359
3 2017357
4 2016220
5 2017112
6 201687
7 201368
8 201250
9 201943
10 201529
11 201328
12 201519
13 201814
14 20227
15 20214
16 20253
17 20242
18 20242
19 20241
20 20221

About Daniela Senft

Daniela Senft is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Immunology, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Cells and Metastasis (3 papers), CAR-T cell therapy research (3 papers), Acute Myeloid Leukemia Research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cell Biology (525 citations), Cancer Research (316 citations), Immunology (430 citations), Molecular Biology (1.3k citations) and Epidemiology (475 citations). Daniela Senft has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Ze’ev A. Ronai, Jianfei Qi, Robert Besch, Carola Berking, Thomas Ruzicka, Simon Rothenfußer, Stefan Endres, Georg Häcker, Tobias Hohenauer and Veit Hornung. Their work appears in journals such as Nature reviews. Cancer, EMBO Molecular Medicine, Trends in Molecular Medicine, Experimental Hematology and Journal of Clinical Investigation.

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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