Stefan Donath

942 citations
15 papers · 803 · h-index 12

Impact in

Papers in

    • Cell death mechanisms and regulation 4
    • Mitochondrial Function and Pathology 2
    • Signaling Pathways in Disease 2
    • ATP Synthase and ATPases Research 2
    • Muscle Physiology and Disorders 1
    • Autophagy in Disease and Therapy 3

Stefan Donath

14 papers receiving 787 citations

Peers

Stefan Donath
Comparison fields: 5 of 83
  • Cancer Research 222
  • Behavioral Neuroscience 31
  • Neurology 70
  • Molecular Biology 460
  • Biological Psychiatry 14
Replace Guoda Ma with:
Guoda Ma China
Lan N. Tu United States
Xin Ding China
Suresh Poosala United States
Sookja Kim Chung Hong Kong
Kenji Ohe Japan
Maria Cristina Guerra Brazil
Britta Kaltwasser Germany
Jan Henryk Spodnik Poland
Anu Punn United Kingdom
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Stefan Donath

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Donath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefan Donath, 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 Stefan Donath Line = papers co-authored together Stefan Donath links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2010324
2 200696
3 199875
4 201054
5 200954
6 201242
7 199941
8 201240
9 199822
10 201615
11 201515
12 200414
13 20168
14 20173
15 20180

About Stefan Donath

Stefan Donath is a scholar working on Molecular Biology, Epidemiology, Immunology, Surgery and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 803 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Autophagy in Disease and Therapy (3 papers), Mitochondrial Function and Pathology (2 papers), Signaling Pathways in Disease (2 papers), ATP Synthase and ATPases Research (2 papers), Muscle Physiology and Disorders (1 paper), Plant nutrient uptake and metabolism (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Cancer Research (222 citations), Behavioral Neuroscience (31 citations), Neurology (70 citations), Molecular Biology (460 citations) and Biological Psychiatry (14 citations). Stefan Donath has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Peifeng Li, Jincheng Li, Bellur S. Prabhakar, Yanrui Li, Junfeng An, Rainer Dietz, Jürgen Westermann, Manfred Schedlowski, Michael S. Exton and Marc Schult. Their work appears in journals such as PLoS Genetics, Molecular Genetics and Genomics, Journal of Neuroimmunology, Circulation and Journal of Hepatology.

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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