Donal Skelly

93 total papers · 20.2k total citations
13 papers, 709 citations indexed

About

Donal Skelly is a scholar working on Neurology, Biological Psychiatry and Molecular Biology. According to data from OpenAlex, Donal Skelly has authored 13 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Biological Psychiatry and 3 papers in Molecular Biology. Recurrent topics in Donal Skelly's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Tryptophan and brain disorders (5 papers) and Intensive Care Unit Cognitive Disorders (3 papers). Donal Skelly is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Tryptophan and brain disorders (5 papers) and Intensive Care Unit Cognitive Disorders (3 papers). Donal Skelly collaborates with scholars based in Ireland, United Kingdom and United States. Donal Skelly's co-authors include Colm Cunningham, Edel Hennessy, Marc‐André Dansereau, Carol Murray, Éadaoin W. Griffin, David M. Bannerman, J. N. P. Rawlins, Lucas Silva Tortorelli, Arshed Nazmi and Sarah C. Harney and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Annals of Oncology.

In The Last Decade

Donal Skelly

11 papers receiving 704 citations

Author Peers

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

Author						Papers	Cites
Donal Skelly	327	199	171	149	116	13	709
Inge C.M. Hoogland	482 1.5×	196 1.0×	174 1.0×	203 1.4×	184 1.6×	11	894
Jack Woods	250 0.8×	109 0.5×	113 0.7×	130 0.9×	61 0.5×	17	670
Dafydd G. Lloyd	295 0.9×	131 0.7×	107 0.6×	228 1.5×	88 0.8×	9	854
Thorsten Okulla	346 1.1×	316 1.6×	74 0.4×	137 0.9×	79 0.7×	8	776
Chén Jìng	358 1.1×	82 0.4×	223 1.3×	112 0.8×	91 0.8×	18	699
Yue Li	226 0.7×	148 0.7×	81 0.5×	180 1.2×	32 0.3×	41	802
J. Abraham	500 1.5×	74 0.4×	235 1.4×	118 0.8×	153 1.3×	5	727
John Kealy	151 0.5×	55 0.3×	77 0.5×	137 0.9×	20 0.2×	14	626
Dengyang Han	154 0.5×	197 1.0×	56 0.3×	174 1.2×	21 0.2×	33	698
Riyue Jiang	65 0.2×	62 0.3×	223 1.3×	274 1.8×	48 0.4×	31	654

Countries citing papers authored by Donal Skelly

Since Specialization

Citations

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

Fields of papers citing papers by Donal Skelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donal Skelly

This figure shows the co-authorship network connecting the top 25 collaborators of Donal Skelly. A scholar is included among the top collaborators of Donal Skelly 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 Donal Skelly. Donal Skelly 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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