Britta Eggers

472 total citations
22 papers, 299 citations indexed

About

Britta Eggers is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Britta Eggers has authored 22 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cell Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Britta Eggers's work include Genetic Neurodegenerative Diseases (6 papers), Advanced Proteomics Techniques and Applications (4 papers) and Muscle Physiology and Disorders (4 papers). Britta Eggers is often cited by papers focused on Genetic Neurodegenerative Diseases (6 papers), Advanced Proteomics Techniques and Applications (4 papers) and Muscle Physiology and Disorders (4 papers). Britta Eggers collaborates with scholars based in Germany, Denmark and United Kingdom. Britta Eggers's co-authors include Katrin Marcus, Katalin Barkovits, Kathy Pfeiffer, Martin Eisenacher, Petra Platen, Markus de Marées, Rolf Schröder, Christoph S. Clemen, Julian Uszkoreit and Rudolf A. Kley and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Nutrients.

In The Last Decade

Britta Eggers

21 papers receiving 297 citations

Peers

Britta Eggers
Ronnie Blazev Australia
Clara Türk Germany
Aaron Ruhs Germany
Pamela Donoghue Ireland
Nausicaa Mazzocchi Italy
S. Smith United States
Hannah M. Campbell United States
Rachel M. McNally United States
Jan Aydin Sweden
Haouaria Balghi Canada
Ronnie Blazev Australia
Britta Eggers
Citations per year, relative to Britta Eggers Britta Eggers (= 1×) peers Ronnie Blazev

Countries citing papers authored by Britta Eggers

Since Specialization
Citations

This map shows the geographic impact of Britta Eggers'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 Britta Eggers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Britta Eggers more than expected).

Fields of papers citing papers by Britta Eggers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Britta Eggers. 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 Britta Eggers. The network helps show where Britta Eggers may publish in the future.

Co-authorship network of co-authors of Britta Eggers

This figure shows the co-authorship network connecting the top 25 collaborators of Britta Eggers. A scholar is included among the top collaborators of Britta Eggers 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 Britta Eggers. Britta Eggers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eggers, Britta, Simone Steinbach, Sharon Keers, et al.. (2025). The Aging Substantia Nigra is Characterized by ROS Accumulation Potentially Resulting in Increased Neuroinflammation and Cytoskeletal Remodeling. Advanced Biology. 9(4). e2400814–e2400814.
2.
Eggers, Britta, et al.. (2025). The Protective Effect of Docosahexaenoic Acid on Mitochondria in SH-SY5Y Model of Rotenone-Induced Toxicity. Metabolites. 15(1). 29–29. 2 indexed citations
3.
Stratmann, Bernd, et al.. (2024). Maladaptive response following glucose overload in GLUT4 ‐overexpressing H9C2 cardiomyoblasts. Diabetes Obesity and Metabolism. 26(6). 2379–2389. 1 indexed citations
4.
Pesta, Dominik, Britta Eggers, Katrin Marcus, et al.. (2024). Immortalised murine R349P desmin knock-in myotubes exhibit a reduced proton leak and decreased ADP/ATP translocase levels in purified mitochondria. European Journal of Cell Biology. 103(2). 151399–151399. 2 indexed citations
5.
Eggers, Britta, Julian Uszkoreit, Robert Rehmann, et al.. (2022). Target formation in muscle fibres indicates reinnervation – A proteomic study in muscle samples from peripheral neuropathies. Neuropathology and Applied Neurobiology. 49(1). e12853–e12853. 5 indexed citations
6.
Barkovits, Katalin, Karin Schork, Martin Eisenacher, et al.. (2022). Neuromelanin granules of the substantia nigra: proteomic profile provides links to tyrosine hydroxylase, stress granules and lysosomes. Journal of Neural Transmission. 129(10). 1257–1270. 13 indexed citations
7.
Barkovits, Katalin, Karin Schork, Martin Eisenacher, et al.. (2022). The Proteome of Neuromelanin Granules in Dementia with Lewy Bodies. Cells. 11(22). 3538–3538. 4 indexed citations
8.
Barkovits, Katalin, Kathy Pfeiffer, Britta Eggers, & Katrin Marcus. (2021). Protein Quantification Using the “Rapid Western Blot” Approach. Methods in molecular biology. 2228. 29–39. 6 indexed citations
9.
Barkovits, Katalin, Paula Sommer, Karin Schork, et al.. (2021). Laser Microdissection-Based Protocol for the LC-MS/MS Analysis of the Proteomic Profile of Neuromelanin Granules. Journal of Visualized Experiments. 3 indexed citations
10.
Clemen, Christoph S., Andreas Schmidt, Lilli Winter, et al.. (2021). N471D WASH complex subunit strumpellin knock‐in mice display mild motor and cardiac abnormalities and BPTF and KLHL11 dysregulation in brain tissue. Neuropathology and Applied Neurobiology. 48(1). e12750–e12750. 9 indexed citations
11.
Eggers, Britta, Karin Schork, Michael Turewicz, et al.. (2021). Advanced Fiber Type-Specific Protein Profiles Derived from Adult Murine Skeletal Muscle. Proteomes. 9(2). 28–28. 20 indexed citations
12.
Sommer, Paula, et al.. (2021). CSF Diagnostics: A Potentially Valuable Tool in Neurodegenerative and Inflammatory Disorders Involving Motor Neurons: A Review. Diagnostics. 11(9). 1522–1522. 8 indexed citations
13.
Barkovits, Katalin, Paula Sommer, Karin Schork, et al.. (2021). Laser Microdissection-Based Protocol for the LC-MS/MS Analysis of the Proteomic Profile of Neuromelanin Granules. Journal of Visualized Experiments. 1 indexed citations
14.
Orfanos, Zacharias, Frédéric Chevessier, Britta Eggers, et al.. (2020). Homozygous expression of the myofibrillar myopathy-associated p.W2710X filamin C variant reveals major pathomechanisms of sarcomeric lesion formation. Acta Neuropathologica Communications. 8(1). 154–154. 19 indexed citations
15.
Peischard, Stefan, Ilaria Piccini, Nathalie Strutz‐Seebohm, et al.. (2020). The first versatile human iPSC-based model of ectopic virus induction allows new insights in RNA-virus disease. Scientific Reports. 10(1). 16804–16804. 12 indexed citations
16.
Eggers, Britta, Stefan Helling, Carsten Theiß, et al.. (2020). Proteomic Characterization of Synaptosomes from Human Substantia Nigra Indicates Altered Mitochondrial Translation in Parkinson’s Disease. Cells. 9(12). 2580–2580. 16 indexed citations
17.
Ciryam, Prajwal, Matthew Antalek, Fernando Maureira Cid, et al.. (2019). A metastable subproteome underlies inclusion formation in muscle proteinopathies. Acta Neuropathologica Communications. 7(1). 197–197. 19 indexed citations
18.
19.
Uszkoreit, Julian, Yasset Pérez‐Riverol, Britta Eggers, Katrin Marcus, & Martin Eisenacher. (2018). Protein Inference Using PIA Workflows and PSI Standard File Formats. Journal of Proteome Research. 18(2). 741–747. 27 indexed citations
20.
Winter, Lilli, Ilka Wittig, Viktoriya Peeva, et al.. (2016). Mutant desmin substantially perturbs mitochondrial morphology, function and maintenance in skeletal muscle tissue. Acta Neuropathologica. 132(3). 453–473. 51 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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