Samuel Frank

5.0k citations
94 papers · 2.0k · h-index 21

Impact in

Papers in

    • Genetic Neurodegenerative Diseases 47
    • Neurological disorders and treatments 19
    • Parkinson's Disease Mechanisms and Treatments 11
    • Botulinum Toxin and Related Neurological Disorders 6

Samuel Frank

87 papers receiving 2.0k citations

Peers

Samuel Frank
Comparison fields: 5 of 130
  • Neurology 582
  • Cellular and Molecular Neuroscience 706
  • Cognitive Neuroscience 428
  • Endocrine and Autonomic Systems 121
  • Psychiatry and Mental health 144
Replace Elie Matar with:
Elie Matar Australia
Bernard Croisile France
Géraldine Petit Belgium
Yashar Zeighami Canada
Brian Power Australia
Gilberto Pizzolato Italy
Tiago Mestre Canada
Christopher G. Tarolli United States
Cindy Zadikoff United States
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Citations per field
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Citations per year

Countries citing papers authored by Samuel Frank

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993349
2 2013159
3 1997136
4 2009124
5 2017120
6 201078
7
The ups and downs of Parkinson disease: a prospective study of mood and anxiety fluctuations.
200470
8 201867
9 200855
10 201048
11 200547
12 201640
13 201537
14 200728
15 199528
16 200528
17 201627
18 201622
19 200022
20 202221

About Samuel Frank

Samuel Frank is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Physiology and Cognitive Neuroscience, having authored 94 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (47 papers), Neurological disorders and treatments (19 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Mitochondrial Function and Pathology (7 papers), Botulinum Toxin and Related Neurological Disorders (6 papers), Clinical Reasoning and Diagnostic Skills (4 papers), Biomedical Ethics and Regulation (4 papers) and Autism Spectrum Disorder Research (3 papers). The work is most often cited by research in Neurology (582 citations), Cellular and Molecular Neuroscience (706 citations), Cognitive Neuroscience (428 citations), Endocrine and Autonomic Systems (121 citations) and Psychiatry and Mental health (144 citations). Samuel Frank has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Vernon L. Towle, Robert Grzeszczuk, Raif Çakmur, David Levin, Kim K. Tan, Jean‐Paul Spire, Robert G. Holloway, Scott Y. H. Kim, Joseph Jankovic and Eve Van Cauter. Their work appears in journals such as Movement Disorders, Neurology, Journal of Huntington s Disease, The Neurologist and Quality of Life Research.

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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