Daniela Senft

3.1k citations
39 papers · 2.5k · 1 hit paper · h-index 14

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Ubiquitin and proteasome pathways
    • Mitochondrial Function and Pathology
    • Cell death mechanisms and regulation

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • Cancer Cells and Metastasis 5
    • Cancer, Hypoxia, and Metabolism 3

Daniela Senft

33 papers receiving 2.5k citations

Daniela Senft's Hit Papers

UPR, autophagy, and mitochondria crosstalk underlies the ER stress response 2015 · 941 citations
9410+3+7Years since publication250500750

Peers

Daniela Senft
Comparison fields: 5 of 100
  • Cell Biology 380
  • Molecular Biology 1k
  • Cancer Research 199
  • Immunology 285
  • Oncology 292
Replace Xu Feng with:
Xu Feng United States
Dan F. Spandau United States
Miriam Erlacher Germany
Songmin Ying China
Amitava Mukherjee United States
Huadong Pei United States
Qiujing Yu China
Munenori Takaoka Japan
Toshiaki Inoue Japan
Levent M. Akyürek Sweden
Daniela Senft relative to Xu Feng United States Xu Feng's profile →
Citations per field
00.5×1.5×2×2.5×
Xu Feng · 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 39 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 →
2015941
2 2017385
3 2009370
4 2016232
5 2017121
6 201697
7 201367
8 201252
9 201945
10 201533
11 201329
12 201519
13 202017
14 201815
15 202213
16 202112
17 20199
18 20157
19 20227
20 20215

About Daniela Senft

Daniela Senft is a scholar working on Oncology, Cancer Research, Molecular Biology, Hematology and Immunology, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Cancer Cells and Metastasis (5 papers), Acute Myeloid Leukemia Research (5 papers), Cell death mechanisms and regulation (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immune cells in cancer (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Cell Biology (380 citations), Molecular Biology (1k citations), Cancer Research (199 citations), Immunology (285 citations) and Oncology (292 citations). Daniela Senft has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Ze’ev A. Ronai, Jianfei Qi, Robert Besch, Carola Berking, Thomas Ruzicka, Simon Rothenfußer, Stefan Endres, Georg Alexander Häcker, Tobias Hohenauer and Veit Hornung. Their work appears in journals such as Nature reviews. Cancer, Pigment Cell & Melanoma Research, Trends in Molecular Medicine, EMBO Molecular Medicine 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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