S. Chamberlain

855 citations
20 papers · 377 · h-index 10

Impact in

Papers in

S. Chamberlain

19 papers receiving 357 citations

Peers

S. Chamberlain
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 270
  • Neurology 55
  • Neurology 90
  • Clinical Biochemistry 26
  • Molecular Biology 245
Replace Elena D. Markova with:
Elena D. Markova Russia
Elena Sánchez-Ferrero Spain
L.V. Prasad Korlipara United Kingdom
Janina Gburek‐Augustat Germany
S. Orobello Italy
Mohamed Yahyaoui Morocco
Shabana Khan United Kingdom
Mustafa Batbayli Denmark
Gabriella Gárdián Hungary
Chiara Reale Italy
S. Chamberlain relative to Elena D. Markova Russia Elena D. Markova's profile →
Citations per field
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Elena D. Markova · 1×
Citations per year

Countries citing papers authored by S. Chamberlain

Since Specialization
Citations

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

Fields of papers citing papers by S. Chamberlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200272
2
Genetic homogeneity at the Friedreich ataxia locus on chromosome 9.
198961
3
Autosomal dominant ataxia: genetic evidence for locus heterogeneity from a Cuban founder-effect population.
199056
4 198229
5 202419
6 198018
7 199017
8 198917
9 199016
10 198012
11 19949
12 19999
13 19939
14 19828
15 20247
16 19817
17 19836
18 19874
19 19791
20 20250

About S. Chamberlain

S. Chamberlain is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Neurology and Cognitive Neuroscience, having authored 20 papers that have together received 377 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (13 papers), Mitochondrial Function and Pathology (10 papers), DNA Repair Mechanisms (5 papers), Metabolism and Genetic Disorders (2 papers), Hereditary Neurological Disorders (2 papers), EEG and Brain-Computer Interfaces (2 papers), Vagus Nerve Stimulation Research (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (270 citations), Neurology (55 citations), Neurology (90 citations), Clinical Biochemistry (26 citations) and Molecular Biology (245 citations). S. Chamberlain has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Paul D. Lewis, M Farrall, R. Williamson, Jacqui Shaw, Janet L. Walker, Julie Wallis, T. Scaravilli, Francesco Scaravilli, Nicholas Wood and N. Robinson. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Neurorehabilitation and neural repair, American Journal of Psychiatry, Human Molecular Genetics and Brain.

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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