Stefan Kuemmerle

2.2k citations
11 papers · 1.8k indexed · 1 hit paper · h-index 7

Stefan Kuemmerle

10 papers receiving 1.8k citations

Hit Papers

Nuclear and Neuropil Aggregates in Huntington’s Disease: ...7041999202620082017200400600

Peers

Stefan Kuemmerle
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 1.5k
  • Neurology 647
  • Molecular Biology 1.4k
  • Cell Biology 186
  • Biological Psychiatry 26
Replace Ge Lu with:
Ge Lu Canada
Kimberly L. Ferrante United States
Jong‐Min Lee United States
Michael Klinkenberg Germany
Kahori Shiba‐Fukushima Japan
Julia S. Schlehe United States
Joshua Hersheson United Kingdom
P. Anthony Akkari Australia
Constanza J. Cortés United States
Michael Flower United Kingdom
Stefan Kuemmerle relative to Ge Lu Canada Ge Lu's profile →
Citations per field
00.5×1.7×
Ge Lu · 1×
Citations per year

Countries citing papers authored by Stefan Kuemmerle

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Kuemmerle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 2000409
2
Nuclear and Neuropil Aggregates in Huntington’s Disease: Relationship to Neuropathologybreakdown →
1999704
3 19995
4
Huntington aggregates may not predict neuronal death in Huntington's disease.
1999305
5 1999260
6 199875
7
Capillary electrophoresis for purity estimation and in-process testing of recombinant GB virus-C proteins.
19976
8 19942
9 199222
10 19871
11 19844

About Stefan Kuemmerle

Stefan Kuemmerle is a scholar working on Cellular and Molecular Neuroscience, Neurology, Physiology, Clinical Biochemistry and Pharmacology, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (5 papers), Neurological disorders and treatments (3 papers), Adenosine and Purinergic Signaling (1 paper), Influenza Virus Research Studies (1 paper), Bacteriophages and microbial interactions (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Neurology (647 citations), Molecular Biology (1.4k citations), Cell Biology (186 citations) and Biological Psychiatry (26 citations). Stefan Kuemmerle has collaborated with scholars based in United States and Germany. Frequent co-authors include Robert J. Ferrante, Steven M. Hersch, Claire‐Anne Gutekunst, M. Flint Beal, Autumn Klein, Randi Jones, Xiaojiang Li, Hong Yi, Shihua Li and David B. Rye. Their work appears in journals such as Annals of Neurology, Drug Metabolism and Disposition, Journal of Neuroscience, Clinical Chemistry and Biochemical Journal.

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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