Eva-Maria Eckl

1.0k citations
7 papers · 696 · 1 hit paper · h-index 6

Impact in

Papers in

    • Mitochondrial Function and Pathology 3
    • Epigenetics and DNA Methylation 1
    • Autophagy in Disease and Therapy 3
    • Cytomegalovirus and herpesvirus research 1

Eva-Maria Eckl

6 papers receiving 689 citations

Eva-Maria Eckl's Hit Papers

A pathway coordinated by DELE1 relays mitochondrial stress to the cytosol 2020 · 324 citations
3240+2+4Years since publication100200300

Peers

Eva-Maria Eckl
Comparison fields: 5 of 91
  • Aging 18
  • Cell Biology 146
  • Molecular Biology 572
  • Clinical Biochemistry 49
  • Biomedical Engineering 166
Replace Farzaneh G. Tahrir with:
Farzaneh G. Tahrir United States
Jason Velazquez United States
Yiping Deng China
Takehito Sugasawa Japan
Jill Thaisz United States
Tomáš Muthný Czechia
Chérie M. Ditre United States
Gen Ishikawa Japan
Bradley B. Jarrold United States
Xiajing Tang China
Eva-Maria Eckl relative to Farzaneh G. Tahrir United States Farzaneh G. Tahrir's profile →
Citations per field
00.5×
Farzaneh G. Tahrir · 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 →
2020324
2 2009234
3 202160
4 202340
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 Health, having authored 7 papers that have together received 696 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Mitochondrial Function and Pathology (3 papers), Autophagy in Disease and Therapy (3 papers), Cytomegalovirus and herpesvirus research (1 paper), Legionella and Acanthamoeba research (1 paper), HIV/AIDS Research and Interventions (1 paper), Biofuel production and bioconversion (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Aging (18 citations), Cell Biology (146 citations), Molecular Biology (572 citations), Clinical Biochemistry (49 citations) and Biomedical Engineering (166 citations). Eva-Maria Eckl has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include Evelyn Fessler, Lucas T. Jae, Shota Atsumi, James C. Liao, Tung‐Yun Wu, Matthias Meyer-Bender, Sabine Schmitt, Stefan Krebs, Julia Philippou‐Massier and Hans Zischka. Their work appears in journals such as Scientific Reports, Cellular and Molecular Life Sciences, Nature, Applied Microbiology and Biotechnology and Molecular & Cellular Proteomics.

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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