Eva-Maria Eckl

1.1k citations
7 papers · 730 · 1 hit paper · h-index 6

Impact in

Papers in

    • Mitochondrial Function and Pathology 3
    • Epigenetics and DNA Methylation 1
    • Enzyme Catalysis and Immobilization 1
    • Autophagy in Disease and Therapy 3

Eva-Maria Eckl

6 papers receiving 723 citations

Eva-Maria Eckl's Hit Papers

A pathway coordinated by DELE1 relays mitochondrial stress to the cytosol 2020 · 348 citations
3480+2+4Years since publication100200300

Peers

Eva-Maria Eckl
Comparison fields: 5 of 84
  • Aging 19
  • Cell Biology 147
  • Molecular Biology 578
  • Clinical Biochemistry 50
  • Biomedical Engineering 151
Replace Yuen Ting Lam with:
Yuen Ting Lam Australia
Mohsen Hosseini France
Nsrein Ali Finland
Haibin Hao China
Jason Velazquez United States
Pallavi Srivastava India
Yiping Deng China
Funiu Qin China
Tomáš Muthný Czechia
Zhongyang Sun China
Eva-Maria Eckl relative to Yuen Ting Lam Australia Yuen Ting Lam's profile →
Citations per field
00.5×4.5×
Yuen Ting Lam · 1×
Citations per year

Countries citing papers authored by Eva-Maria Eckl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

7 of 7 papers shown
#Work
1
A pathway coordinated by DELE1 relays mitochondrial stress to the cytosol
Hit paper breakdown →
2020348
2 2009236
3 202162
4 202346
5 200422
6 202016
7 20250

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 730 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 (147 citations), Molecular Biology (578 citations), Clinical Biochemistry (50 citations) and Biomedical Engineering (151 citations). Eva-Maria Eckl has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include Lucas T. Jae, Evelyn Fessler, James C. Liao, Tung‐Yun Wu, Shota Atsumi, Matthias Meyer-Bender, Julia Philippou‐Massier, Stefan Krebs, Hans Zischka and Sabine Schmitt. Their work appears in journals such as Molecular Cell, Applied Microbiology and Biotechnology, Molecular & Cellular Proteomics, Infection and Nature.

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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