Saskia Schmidt

515 citations
15 papers · 402 · h-index 9

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
    • Nuclear Receptors and Signaling
    • Nerve injury and regeneration
    • Genetic Neurodegenerative Diseases

Papers in

Saskia Schmidt

15 papers receiving 398 citations

Peers

Saskia Schmidt
Comparison fields: 5 of 76
  • Neurology 181
  • Neurology 70
  • Cellular and Molecular Neuroscience 134
  • Physiology 74
  • Molecular Biology 142
Replace Whitney S. Gibbs with:
Whitney S. Gibbs United States
Pingyou He China
Susan M. Cochrane United Kingdom
Ichraf Kraoua Tunisia
We Fong Siah Ireland
Silke Metzger Germany
Yongjie Zou China
Max Borsche Germany
Alexander Balck Germany
Denisse Sepúlveda Chile
Saskia Schmidt relative to Whitney S. Gibbs United States Whitney S. Gibbs's profile →
Citations per field
00.5×4.3×
Whitney S. Gibbs · 1×
Citations per year

Countries citing papers authored by Saskia Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Saskia Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2007158
2 201176
3 201037
4 202237
5 201018
6 201216
7 202114
8 200313
9 200810
10 19977
11 20107
12 20234
13 20003
14 20251
15 20021

About Saskia Schmidt

Saskia Schmidt is a scholar working on Epidemiology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Hepatology, having authored 15 papers that have together received 402 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Nuclear Receptors and Signaling (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Urological Disorders and Treatments (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Education Methods and Technologies (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Ureteral procedures and complications (1 paper). The work is most often cited by research in Neurology (181 citations), Neurology (70 citations), Cellular and Molecular Neuroscience (134 citations), Physiology (74 citations) and Molecular Biology (142 citations). Saskia Schmidt has collaborated with scholars based in Germany, Switzerland and South Africa. Frequent co-authors include Hermann Lübbert, Christine C. Stichel, Bettina Linnartz‐Gerlach, Xin‐Ran Zhu, Verian Bader, Michael Lübbert, Laura Suter‐Dick, Carine Gaiser, Simone Spuler and Friedrich C. Luft. Their work appears in journals such as Human Molecular Genetics, International Journal of Molecular Sciences, The Journal of Clinical Endocrinology & Metabolism, Parkinson s Disease and Circulation.

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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