Eva-Maria Eckl
Impact in
- Aging top 10%
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Mitochondrial Function and Pathology 3
- Epigenetics and DNA Methylation 1
- Enzyme Catalysis and Immobilization 1
-
- Autophagy in Disease and Therapy 3
- Co-authors
- Lucas T. Jae (4 shared papers)Evelyn Fessler (3 shared papers)Shota Atsumi (1 shared paper)James C. Liao (1 shared paper)Tung‐Yun Wu (1 shared paper)Sabine Schmitt (1 shared paper)Stefan Krebs (1 shared paper)Julia Philippou‐Massier (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (1 paper)Molecular Cell (1 paper)Applied Microbiology and Biotechnology (1 paper)Cellular and Molecular Life Sciences (1 paper)Infection (1 paper)
- Partner nations
- GermanyUnited StatesTaiwan
In The Last Decade
Eva-Maria Eckl
6 papers receiving 743 citations
Eva-Maria Eckl's Hit Papers
Peers
Comparison fields: 5 of 84
- Aging 19
- Cell Biology 148
- Molecular Biology 597
- Clinical Biochemistry 50
- Biomedical Engineering 165
Countries citing papers authored by Eva-Maria Eckl
This map shows the geographic impact of Eva-Maria Eckl'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 Eva-Maria Eckl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva-Maria Eckl more than expected).
Fields of papers citing papers by Eva-Maria Eckl
This network shows the impact of papers produced by Eva-Maria Eckl. 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 Eva-Maria Eckl. The network helps show where Eva-Maria Eckl may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva-Maria Eckl, 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 | A pathway coordinated by DELE1 relays mitochondrial stress to the cytosol Hit paper breakdown → | 2020 | 350 |
| 2 | 2009 | 255 | |
| 3 | 2021 | 62 | |
| 4 | 2023 | 46 | |
| 5 | 2004 | 22 | |
| 6 | 2020 | 16 | |
| 7 | 2025 | 0 |
About Eva-Maria Eckl
Eva-Maria Eckl is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Infectious Diseases and Genetics, having authored 7 papers that have together received 751 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Mitochondrial Function and Pathology (3 papers), HIV/AIDS Research and Interventions (1 paper), Epigenetics and DNA Methylation (1 paper), Enzyme Catalysis and Immobilization (1 paper), Genetic Syndromes and Imprinting (1 paper) and Legionella and Acanthamoeba research (1 paper). The work is most often cited by research in Aging (19 citations), Cell Biology (148 citations), Molecular Biology (597 citations), Clinical Biochemistry (50 citations) and Biomedical Engineering (165 citations). Eva-Maria Eckl has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include Lucas T. Jae, Evelyn Fessler, Shota Atsumi, James C. Liao, Tung‐Yun Wu, Sabine Schmitt, Stefan Krebs, Julia Philippou‐Massier, Matthias Meyer-Bender and Hans Zischka. Their work appears in journals such as Molecular & Cellular Proteomics, Molecular Cell, Applied Microbiology and Biotechnology, Cellular and Molecular Life Sciences and Infection.
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.