Miriam A. Hickey

2.4k citations
30 papers · 1.8k indexed · h-index 23

Miriam A. Hickey

29 papers receiving 1.8k citations

Peers

Miriam A. Hickey
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 1.1k
  • Neurology 536
  • Molecular Biology 1.2k
  • Aging 26
  • Biological Psychiatry 34
Replace Vivek K. Unni with:
Vivek K. Unni United States
Ippolita Cantuti‐Castelvetri United States
Steven P. Braithwaite United States
Houbo Jiang United States
Emily M. Rocha United States
Nadia Canu Italy
Talene A. Yacoubian United States
Lisa A. Lione United Kingdom
Xiao-Jiang Li United States
Ayşe Ulusoy Germany
Miriam A. Hickey relative to Vivek K. Unni United States Vivek K. Unni's profile →
Citations per field
00.5×2.6×
Vivek K. Unni · 1×
Citations per year

Countries citing papers authored by Miriam A. Hickey

Since Specialization
Citations

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

Fields of papers citing papers by Miriam A. Hickey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam A. Hickey. 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 Miriam A. Hickey. The network helps show where Miriam A. Hickey may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Miriam A. Hickey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Miriam A. Hickey Line = papers co-authored together Miriam A. Hickey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20238
3 201946
4 201933
5 201746
6 2016100
7 201495
8 201239
9 201153
10 201127
11 2010107
12 201032
13 200995
14 200589
15 2004140
16 200343
17 2003156
18 200293
19 200129
20 200044

About Miriam A. Hickey

Miriam A. Hickey is a scholar working on Cellular and Molecular Neuroscience, Neurology and Biological Psychiatry, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (15 papers), Mitochondrial Function and Pathology (11 papers), Neurological disorders and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Autophagy in Disease and Therapy (4 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Neurology (536 citations) and Molecular Biology (1.2k citations). Miriam A. Hickey has collaborated with scholars based in Estonia, United States and United Kingdom. Frequent co-authors include Marie-Françoise Chesselet, Michael S. Levine, A. Jennifer Morton, Marie‐Françoise Chesselet, Jürgen Innos, Carlos Cepeda, Scott Zeitlin, Allen Kaasik, Gavin P. Reynolds and Sheila M. Fleming. Their work appears in journals such as Scientific Reports, The EMBO Journal, Cells, Biology and Journal of Neurochemistry.

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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