D. G. Healy

16 total papers · 630 total citations
15 papers, 464 citations indexed

About

D. G. Healy is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, D. G. Healy has authored 15 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 9 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in D. G. Healy's work include Genetic Neurodegenerative Diseases (5 papers), Neurological disorders and treatments (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). D. G. Healy is often cited by papers focused on Genetic Neurodegenerative Diseases (5 papers), Neurological disorders and treatments (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). D. G. Healy collaborates with scholars based in United Kingdom, Ireland and United States. D. G. Healy's co-authors include Vandana Dhawan, К. Ray Chaudhuri, Suvankar Pal, Nicholas Wood, Timothy Lynch, Anthony H.V. Schapira, Miratul M. K. Muqit, Patrick M. Abou‐Sleiman, Sonia Gandhi and Owen A. Ross and has published in prestigious journals such as Neurology, Philosophical Transactions of the Royal Society B Biological Sciences and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

D. G. Healy

14 papers receiving 453 citations

Author Peers

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

Author						Papers	Cites
D. G. Healy	363	180	88	76	73	15	464
M. J. Martí	333 0.9×	96 0.5×	66 0.8×	72 0.9×	93 1.3×	14	461
Susanne Steinlechner	350 1.0×	183 1.0×	65 0.7×	81 1.1×	64 0.9×	18	464
David Crosiers	387 1.1×	104 0.6×	96 1.1×	95 1.3×	74 1.0×	30	518
Mei Lin Teoh	318 0.9×	115 0.6×	41 0.5×	79 1.0×	139 1.9×	11	514
Angela B. Reksidler	223 0.6×	211 1.2×	82 0.9×	62 0.8×	130 1.8×	12	431
Kristen Whitney	264 0.7×	115 0.6×	123 1.4×	137 1.8×	108 1.5×	15	551
Madoka Kubo	166 0.5×	158 0.9×	190 2.2×	77 1.0×	79 1.1×	21	431
Qiu-Jin Yu	252 0.7×	62 0.3×	83 0.9×	82 1.1×	37 0.5×	16	532
Adriana Di Santo	436 1.2×	127 0.7×	57 0.6×	57 0.8×	77 1.1×	9	526
Sotirios Polychronis	344 0.9×	159 0.9×	81 0.9×	104 1.4×	31 0.4×	12	510

Countries citing papers authored by D. G. Healy

Since Specialization

Citations

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

Fields of papers citing papers by D. G. Healy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. G. Healy. 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 D. G. Healy. The network helps show where D. G. Healy may publish in the future.

Co-authorship network of co-authors of D. G. Healy

This figure shows the co-authorship network connecting the top 25 collaborators of D. G. Healy. A scholar is included among the top collaborators of D. G. Healy 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 D. G. Healy. D. G. Healy 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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