Gina M. Moriarty

10 total papers · 447 total citations
8 papers, 359 citations indexed

About

Gina M. Moriarty is a scholar working on Neurology, Physiology and Astronomy and Astrophysics. According to data from OpenAlex, Gina M. Moriarty has authored 8 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Physiology and 2 papers in Astronomy and Astrophysics. Recurrent topics in Gina M. Moriarty's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Alzheimer's disease research and treatments (3 papers) and Neurological disorders and treatments (2 papers). Gina M. Moriarty is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Alzheimer's disease research and treatments (3 papers) and Neurological disorders and treatments (2 papers). Gina M. Moriarty collaborates with scholars based in United States and United Kingdom. Gina M. Moriarty's co-authors include Jean Baum, Lucy A. Woods, Alison E. Ashcroft, Sheena E. Radford, Conceição A.S.A. Minetti, David P. Remeta, J. M. Friedrich, D. Rumble, Sagar D. Khare and Luxi Li and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Gina M. Moriarty

8 papers receiving 358 citations

Author Peers

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

Author Last Decade Papers Cites
Gina M. Moriarty 228 165 106 68 44 8 359
Anita Čarija 243 1.1× 197 1.2× 122 1.2× 85 1.3× 9 0.2× 9 379
Daniel T. Ladror 140 0.6× 133 0.8× 166 1.6× 56 0.8× 19 0.4× 14 398
Rani Moons 179 0.8× 201 1.2× 151 1.4× 57 0.8× 9 0.2× 9 366
Kazuya Honbou 118 0.5× 63 0.4× 186 1.8× 64 0.9× 12 0.3× 11 394
Nastasia K.-H. Lim 154 0.7× 129 0.8× 124 1.2× 68 1.0× 15 0.3× 12 391
Richard Wroe 112 0.5× 76 0.5× 185 1.7× 24 0.4× 10 0.2× 7 306
Filippa Lo Cascio 67 0.3× 176 1.1× 184 1.7× 51 0.8× 18 0.4× 11 366
Priyatosh Ranjan 286 1.3× 194 1.2× 79 0.7× 83 1.2× 7 0.2× 8 376
Surabhi Shukla 69 0.3× 83 0.5× 211 2.0× 62 0.9× 28 0.6× 7 370
M. Engelen 135 0.6× 38 0.2× 101 1.0× 62 0.9× 60 1.4× 7 387

Countries citing papers authored by Gina M. Moriarty

Since Specialization
Citations

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

Fields of papers citing papers by Gina M. Moriarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina M. Moriarty. 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 Gina M. Moriarty. The network helps show where Gina M. Moriarty may publish in the future.

Co-authorship network of co-authors of Gina M. Moriarty

This figure shows the co-authorship network connecting the top 25 collaborators of Gina M. Moriarty. A scholar is included among the top collaborators of Gina M. Moriarty 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 Gina M. Moriarty. Gina M. Moriarty 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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