Samuel P. Dickson

79 total papers · 2.5k total citations
29 papers, 1.0k citations indexed

About

Samuel P. Dickson is a scholar working on Physiology, Genetics and Molecular Biology. According to data from OpenAlex, Samuel P. Dickson has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 7 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Samuel P. Dickson's work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Genetic Associations and Epidemiology (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Samuel P. Dickson is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (6 papers), Genetic Associations and Epidemiology (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Samuel P. Dickson collaborates with scholars based in United States, Canada and United Kingdom. Samuel P. Dickson's co-authors include David B. Goldstein, Ian D. Krantz, Håkon Håkonarson, Kai Wang, Catherine A. Stolle, Suzanne Hendrix, Jessica M. Maia, Kevin V. Shianna, Erin L. Heinzen and Dongliang Ge and has published in prestigious journals such as Bioinformatics, Neurology and PLoS Biology.

In The Last Decade

Samuel P. Dickson

24 papers receiving 1.0k citations

Hit Papers

Rare Variants Create Synt... 2010 2026 2015 2020 2010 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Samuel P. Dickson 621 372 98 63 54 29 1.0k
Brendan C. Lanpher 462 0.7× 579 1.6× 110 1.1× 38 0.6× 40 0.7× 41 1.2k
Benjamín Rodríguez‐Santiago 432 0.7× 522 1.4× 79 0.8× 61 1.0× 87 1.6× 39 1.0k
Steven Andrew Baker 593 1.0× 660 1.8× 65 0.7× 37 0.6× 54 1.0× 28 1.1k
Sarah A. Gagliano Taliun 517 0.8× 390 1.0× 139 1.4× 20 0.3× 70 1.3× 37 1.1k
Tianyuan Lu 330 0.5× 491 1.3× 101 1.0× 43 0.7× 123 2.3× 54 1.0k
Jill Smith 319 0.5× 426 1.1× 70 0.7× 21 0.3× 91 1.7× 31 1.2k
Yizhou Ye 217 0.3× 348 0.9× 79 0.8× 24 0.4× 61 1.1× 28 1.0k
Donna M. Brown 563 0.9× 476 1.3× 177 1.8× 78 1.2× 55 1.0× 37 1.2k
Rachel Beeri 376 0.6× 385 1.0× 146 1.5× 36 0.6× 91 1.7× 29 892
Sabine Uhrig 430 0.7× 376 1.0× 44 0.4× 206 3.3× 84 1.6× 23 822

Countries citing papers authored by Samuel P. Dickson

Since Specialization
Citations

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

Fields of papers citing papers by Samuel P. Dickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel P. Dickson

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel P. Dickson. A scholar is included among the top collaborators of Samuel P. Dickson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel P. Dickson. Samuel P. Dickson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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