Donald S. Higgins

84 total papers · 3.5k total citations
44 papers, 1.7k citations indexed

About

Donald S. Higgins is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Donald S. Higgins has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 20 papers in Cellular and Molecular Neuroscience and 13 papers in Molecular Biology. Recurrent topics in Donald S. Higgins's work include Parkinson's Disease Mechanisms and Treatments (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Mitochondrial Function and Pathology (8 papers). Donald S. Higgins is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Mitochondrial Function and Pathology (8 papers). Donald S. Higgins collaborates with scholars based in United States and Saudi Arabia. Donald S. Higgins's co-authors include J. Timothy Greenamyre, Stewart A. Factor, Cyrus P. Zabetian, Haydeh Payami, Denise M. Kay, Jennifer S. Montimurro, John G. Nutt, Ali Samii, Alida Griffith and Eric Molho and has published in prestigious journals such as Journal of Neuroscience, Neurology and Annals of Neurology.

In The Last Decade

Donald S. Higgins

42 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Donald S. Higgins 990 666 448 235 216 44 1.7k
Thomas S. Guillot 648 0.7× 794 1.2× 380 0.8× 163 0.7× 83 0.4× 24 1.8k
Jinsha Huang 802 0.8× 427 0.6× 626 1.4× 364 1.5× 128 0.6× 47 1.9k
B.L. Scott 1.0k 1.0× 543 0.8× 758 1.7× 272 1.2× 115 0.5× 47 2.2k
Vı́ctor Tapias 858 0.9× 648 1.0× 690 1.5× 303 1.3× 100 0.5× 34 2.2k
M.S. Desole 313 0.3× 751 1.1× 497 1.1× 162 0.7× 68 0.3× 74 1.9k
G. Cohen 557 0.6× 716 1.1× 763 1.7× 137 0.6× 72 0.3× 37 2.0k
Alberto Machado 502 0.5× 813 1.2× 795 1.8× 573 2.4× 129 0.6× 75 2.3k
Silvia Cerri 1.0k 1.0× 576 0.9× 709 1.6× 333 1.4× 139 0.6× 61 2.2k
Jan Bert Gramsbergen 346 0.3× 766 1.2× 685 1.5× 277 1.2× 80 0.4× 62 2.1k
Sarah Berman 701 0.7× 760 1.1× 1.2k 2.7× 262 1.1× 77 0.4× 38 2.4k

Countries citing papers authored by Donald S. Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Donald S. Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donald S. Higgins

This figure shows the co-authorship network connecting the top 25 collaborators of Donald S. Higgins. A scholar is included among the top collaborators of Donald S. Higgins 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 Donald S. Higgins. Donald S. Higgins 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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