Daniela Mennerich
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 16
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 6
- Ubiquitin and proteasome pathways 5
- Metabolism, Diabetes, and Cancer 3
- DNA Repair Mechanisms 2
- Biochemistry top 10%
- Biochemistry top 5%
- Aging top 10%
-
- Endoplasmic Reticulum Stress and Disease 4
-
- Autophagy in Disease and Therapy 3
-
- Cancer-related Molecular Pathways 3
- Co-authors
- Thomas KietzmannSusana CadenasCristina Espinosa‐DíezPatricia Sánchez-PérezVerónica MiguelSantiago LamasElitsa Y. DimovaKateryna Kubaichuk
- Journals
- Redox Biology (6 papers)iScience (2 papers)Frontiers in Cell and Developmental Biology (2 papers)
- Partner nations
- FinlandGermanyUnited Kingdom
In The Last Decade
Daniela Mennerich
23 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 469
- Molecular Biology 1.0k
- Biochemistry 80
- Biochemistry 94
- Aging 19
Countries citing papers authored by Daniela Mennerich
This map shows the geographic impact of Daniela Mennerich'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 Mennerich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Mennerich more than expected).
Fields of papers citing papers by Daniela Mennerich
This network shows the impact of papers produced by Daniela Mennerich. 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 Mennerich. The network helps show where Daniela Mennerich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Mennerich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 11 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 90 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 22 | |
| 10 | 2019 | 51 | |
| 11 | 2019 | 177 | |
| 12 | 2019 | 25 | |
| 13 | 2018 | 25 | |
| 14 | 2018 | 37 | |
| 15 | 2017 | 95 | |
| 16 | 2016 | 29 | |
| 17 | 2015 | 57 | |
| 18 | 2015 | 44 | |
| 19 | 2014 | 15 | |
| 20 | 2013 | 80 |
About Daniela Mennerich
Daniela Mennerich is a scholar working on Cancer Research, Cell Biology, Biochemistry, Molecular Biology and Physiology, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (16 papers), Mitochondrial Function and Pathology (6 papers), Ubiquitin and proteasome pathways (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Autophagy in Disease and Therapy (3 papers), Cancer-related Molecular Pathways (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (469 citations), Molecular Biology (1.0k citations), Biochemistry (80 citations), Biochemistry (94 citations) and Aging (19 citations). Daniela Mennerich has collaborated with scholars based in Finland, Germany and United Kingdom. Frequent co-authors include Thomas Kietzmann, Susana Cadenas, Cristina Espinosa‐Díez, Patricia Sánchez-Pérez, Verónica Miguel, Santiago Lamas, Elitsa Y. Dimova, Kateryna Kubaichuk, Sakari Kellokumpu and Leonard A. Daly. Their work appears in journals such as Redox Biology, iScience, Frontiers in Cell and Developmental Biology, Antioxidants and Redox Signaling and Oncogenesis.
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.