Nathaniel R. Whaley

15 total papers · 869 total citations
12 papers, 668 citations indexed

About

Nathaniel R. Whaley is a scholar working on Neurology, Cellular and Molecular Neuroscience and Rheumatology. According to data from OpenAlex, Nathaniel R. Whaley has authored 12 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Rheumatology. Recurrent topics in Nathaniel R. Whaley's work include Neurological disorders and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Genetic Neurodegenerative Diseases (3 papers). Nathaniel R. Whaley is often cited by papers focused on Neurological disorders and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Genetic Neurodegenerative Diseases (3 papers). Nathaniel R. Whaley collaborates with scholars based in United States. Nathaniel R. Whaley's co-authors include Zbigniew K. Wszołek, Ryan J. Uitti, Yasuhiko Baba, J. D. Putzke, Shinsuke Fujioka, John D. Putzke, Z. Wszolek, Devon I. Rubin, Matthew J. Farrer and Dennis W. Dickson and has published in prestigious journals such as Neurology, Journal of Neurology Neurosurgery & Psychiatry and Movement Disorders.

In The Last Decade

Nathaniel R. Whaley

12 papers receiving 648 citations

Author Peers

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

Author						Papers	Cites
Nathaniel R. Whaley	545	342	104	75	65	12	668
Michele L. Rajput	715 1.3×	239 0.7×	71 0.7×	124 1.7×	53 0.8×	15	788
Valentina Nicoletti	423 0.8×	157 0.5×	93 0.9×	58 0.8×	28 0.4×	21	711
Annemarie Vlaar	507 0.9×	200 0.6×	60 0.6×	49 0.7×	52 0.8×	25	723
Kalyan B Bhattacharyya	451 0.8×	219 0.6×	60 0.6×	60 0.8×	34 0.5×	16	613
Valérie Soland	516 0.9×	218 0.6×	84 0.8×	51 0.7×	59 0.9×	16	698
J. D. Putzke	529 1.0×	299 0.9×	20 0.2×	40 0.5×	58 0.9×	9	639
Alexander Rajput	539 1.0×	192 0.6×	47 0.5×	84 1.1×	33 0.5×	9	600
Silvano Cristina	427 0.8×	122 0.4×	37 0.4×	61 0.8×	39 0.6×	18	636
Cordelia Erickson‐Davis	487 0.9×	325 1.0×	44 0.4×	31 0.4×	58 0.9×	16	684
José Matías Arbelo	478 0.9×	143 0.4×	142 1.4×	90 1.2×	10 0.2×	20	616

Countries citing papers authored by Nathaniel R. Whaley

Since Specialization

Citations

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

Fields of papers citing papers by Nathaniel R. Whaley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaniel R. Whaley. 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 Nathaniel R. Whaley. The network helps show where Nathaniel R. Whaley may publish in the future.

Co-authorship network of co-authors of Nathaniel R. Whaley

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel R. Whaley. A scholar is included among the top collaborators of Nathaniel R. Whaley 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 Nathaniel R. Whaley. Nathaniel R. Whaley 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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