Eva-Maria Eckl

1.0k total citations · 1 hit paper
7 papers, 696 citations indexed

About

Eva-Maria Eckl is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Eva-Maria Eckl has authored 7 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Cell Biology. Recurrent topics in Eva-Maria Eckl's work include Autophagy in Disease and Therapy (3 papers), Mitochondrial Function and Pathology (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Eva-Maria Eckl is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Mitochondrial Function and Pathology (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Eva-Maria Eckl collaborates with scholars based in Germany, United States and United Kingdom. Eva-Maria Eckl's co-authors include Lucas T. Jae, Evelyn Fessler, James C. Liao, Tung‐Yun Wu, Shota Atsumi, Matthias Meyer-Bender, Hans Zischka, Julia Philippou‐Massier, Sabine Schmitt and Stefan Krebs and has published in prestigious journals such as Nature, Molecular Cell and Scientific Reports.

In The Last Decade

Eva-Maria Eckl

6 papers receiving 689 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A pathway coordinated by DELE1 relays mitochondrial stress to the cytosol

2020 324 citations Evelyn Fessler, Eva-Maria Eckl et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eva-Maria Eckl Germany	6	572	166	146	96	59	7	696
Xiajing Tang China	17	297 0.5×	63 0.4×	28 0.2×	162 1.7×	31 0.5×	52	787
Xi Zhao China	9	194 0.3×	28 0.2×	83 0.6×	71 0.7×	31 0.5×	21	390
Farzaneh G. Tahrir United States	11	311 0.5×	26 0.2×	56 0.4×	130 1.4×	37 0.6×	15	543
Jason Velazquez United States	7	308 0.5×	245 1.5×	85 0.6×	36 0.4×	147 2.5×	10	642
Rivka Mamet Israel	12	263 0.5×	124 0.7×	44 0.3×	34 0.4×	11 0.2×	48	536
Ronny Mohren Netherlands	11	185 0.3×	46 0.3×	60 0.4×	50 0.5×	139 2.4×	24	396
Gen Ishikawa Japan	11	221 0.4×	31 0.2×	25 0.2×	62 0.6×	45 0.8×	24	421
Tomáš Muthný Czechia	13	142 0.2×	35 0.2×	230 1.6×	22 0.2×	147 2.5×	15	516
Patricia Pons Argentina	12	92 0.2×	127 0.8×	30 0.2×	70 0.7×	63 1.1×	26	392
Yinghong Ji China	17	309 0.5×	31 0.2×	16 0.1×	125 1.3×	22 0.4×	38	699

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-authorship network of co-authors of Eva-Maria Eckl

This figure shows the co-authorship network connecting the top 25 collaborators of Eva-Maria Eckl. A scholar is included among the top collaborators of Eva-Maria Eckl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva-Maria Eckl. Eva-Maria Eckl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Hoffmann, Lutz, Eva-Maria Eckl, Marleen Bérouti, et al.. (2025). AMPylation Regulates 5′-3′ Exonuclease PLD3 Processing. Molecular & Cellular Proteomics. 24(10). 101051–101051.

2.

Sekine, Yusuke, Ryan Houston, Eva-Maria Eckl, et al.. (2023). A mitochondrial iron-responsive pathway regulated by DELE1. Molecular Cell. 83(12). 2059–2076.e6. 40 indexed citations

3.

Eckl, Eva-Maria, et al.. (2021). Sensing, signaling and surviving mitochondrial stress. Cellular and Molecular Life Sciences. 78(16). 5925–5951. 60 indexed citations

4.

Mulholland, Christopher B., Franziska R. Traube, Enes Ugur, et al.. (2020). Distinct and stage-specific contributions of TET1 and TET2 to stepwise cytosine oxidation in the transition from naive to primed pluripotency. Scientific Reports. 10(1). 12066–12066. 16 indexed citations

5.

Fessler, Evelyn, Eva-Maria Eckl, Sabine Schmitt, et al.. (2020). A pathway coordinated by DELE1 relays mitochondrial stress to the cytosol. Nature. 579(7799). 433–437. 324 indexed citations breakdown →

6.

Atsumi, Shota, et al.. (2009). Engineering the isobutanol biosynthetic pathway in Escherichia coli by comparison of three aldehyde reductase/alcohol dehydrogenase genes. Applied Microbiology and Biotechnology. 85(3). 651–657. 234 indexed citations

7.

Eckl, Eva-Maria, et al.. (2004). Risk Factors for Undervaccination against Measles in a Large Sample of Preschool Children from Rural Bavaria. Infection. 32(3). 127–133. 22 indexed citations

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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