Cheryl Dykstra-Aiello

636 citations
16 papers · 473 indexed · h-index 10
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 3
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms 4
    • Intracerebral and Subarachnoid Hemorrhage Research 3
    • Sleep and Wakefulness Research 5
    • Neuroinflammation and Neurodegeneration Mechanisms 4
    • Intracerebral and Subarachnoid Hemorrhage Research 3
    • Circular RNAs in diseases 3
    • RNA Research and Splicing 3
    • RNA modifications and cancer 2

Cheryl Dykstra-Aiello

16 papers receiving 472 citations

Peers

Cheryl Dykstra-Aiello
Comparison fields: 5 of 66
  • Cancer Research 203
  • Neurology 93
  • Endocrine and Autonomic Systems 51
  • Cognitive Neuroscience 92
  • Neurology 60
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Chunlei Han China
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Citations per field
00.5×8.5×
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Citations per year

Countries citing papers authored by Cheryl Dykstra-Aiello

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl Dykstra-Aiello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheryl Dykstra-Aiello. 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 Cheryl Dykstra-Aiello. The network helps show where Cheryl Dykstra-Aiello may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Cheryl Dykstra-Aiello, 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 Cheryl Dykstra-Aiello Line = papers co-authored together Cheryl Dykstra-Aiello links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20221
2 20219
3 20209
4 20202
5 202045
6 20205
7 201910
8 201911
9 201823
10 201888
11 201636
12 2016118
13 20161
14 201539
15 201575
16 20151

About Cheryl Dykstra-Aiello

Cheryl Dykstra-Aiello is a scholar working on Neurology, Cancer Research and Endocrine and Autonomic Systems, having authored 16 papers that have together received 473 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (5 papers), Cancer-related molecular mechanisms research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (203 citations), Neurology (93 citations) and Endocrine and Autonomic Systems (51 citations). Cheryl Dykstra-Aiello has collaborated with scholars based in United States and Canada. Frequent co-authors include Glen C. Jickling, Xinhua Zhan, Heather Hull, Bradley P. Ander, Boryana Stamova, Frank R. Sharp, Joseph Nguyen, James M. Krueger, Natasha Shroff and Ping Taishi. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

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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