Megan L. Settell

907 citations
21 papers · 525 indexed · h-index 12

Megan L. Settell

21 papers receiving 521 citations

Peers

Megan L. Settell
Comparison fields: 5 of 61
  • Neurology 203
  • Cellular and Molecular Neuroscience 260
  • Cognitive Neuroscience 169
  • Neurology 104
  • Electrochemistry 31
Replace Fernando Fernandes Paiva with:
Fernando Fernandes Paiva Brazil
Chunyan Li United States
Cristin G. Welle United States
James K. Trevathan United States
Naoki Akamatsu Japan
Anne‐Kathrin Gellner Germany
Paula Trujillo United States
Natalie Hauglund Denmark
Mortimer Gierthmuehlen Germany
Evan N. Nicolai United States
Megan L. Settell relative to Fernando Fernandes Paiva Brazil Fernando Fernandes Paiva's profile →
Citations per field
00.5×3.8×
Fernando Fernandes Paiva · 1×
Citations per year

Countries citing papers authored by Megan L. Settell

Since Specialization
Citations

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

Fields of papers citing papers by Megan L. Settell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan L. Settell. 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 Megan L. Settell. The network helps show where Megan L. Settell may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Megan L. Settell, 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 Megan L. Settell Line = papers co-authored together Megan L. Settell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20237
3 202335
4 20231
5 20231
6 202225
7 202113
8 20207
9 202066
10 202046
11 202032
12 20202
13 20205
14 201865
15 201818
16 201751
17 20171
18 201680
19 201634
20 201634

About Megan L. Settell

Megan L. Settell is a scholar working on Neurology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Anesthesiology and Pain Medicine, having authored 21 papers that have together received 525 indexed citations. Recurring topics across this work include Vagus Nerve Stimulation Research (9 papers), Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (7 papers), Neurological disorders and treatments (6 papers), Respiratory and Cough-Related Research (2 papers), Muscle activation and electromyography studies (2 papers), Transcranial Magnetic Stimulation Studies (2 papers) and Cancer-related cognitive impairment studies (2 papers). The work is most often cited by research in Neurology (203 citations), Cellular and Molecular Neuroscience (260 citations), Cognitive Neuroscience (169 citations), Neurology (104 citations) and Electrochemistry (31 citations). Megan L. Settell has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Evan N. Nicolai, Hoon‐Ki Min, Kendall H. Lee, Charles D. Blaha, Kip A. Ludwig, James K. Trevathan, Warren M. Grill, Justin C. Williams, Nicole A. Pelot and Andrew J. Shoffstall. Their work appears in journals such as Journal of Neural Engineering, Neuromodulation Technology at the Neural Interface, Frontiers in Neuroscience, The FASEB Journal and Alzheimer s & Dementia.

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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