Bryan McLaughlin

873 citations
27 papers · 583 · h-index 10

Impact in

Papers in

Bryan McLaughlin

25 papers receiving 569 citations

Peers

Bryan McLaughlin
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 289
  • Neurology 107
  • Cognitive Neuroscience 147
  • Biomedical Engineering 208
  • Equine 7
Replace Enrico Marani with:
Enrico Marani Netherlands
Michael B. Christensen United States
Jose G. Grajales‐Reyes United States
Thaleia‐Rengina Stathopoulou United Kingdom
Jean‐Louis Divoux France
Nicholas L. Opie Australia
Aya Takeoka Japan
Natalia Pavlova Russia
Henri Lorach United States
Paul Čvančara Germany
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Citations per field
00.5×3.3×
Enrico Marani · 1×
Citations per year

Countries citing papers authored by Bryan McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Bryan McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014246
2 201575
3 201572
4 201139
5 200925
6 201017
7 201215
8 201913
9 202113
10 202211
11 20179
12 20228
13 20157
14 20227
15 20155
16 20125
17 20225
18 20233
19 20212
20 20231

About Bryan McLaughlin

Bryan McLaughlin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Molecular Biology and Surgery, having authored 27 papers that have together received 583 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (7 papers), Pain Management and Treatment (5 papers), Transcranial Magnetic Stimulation Studies (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Photoreceptor and optogenetics research (4 papers), Connexins and lens biology (3 papers) and Spinal Cord Injury Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (289 citations), Neurology (107 citations), Cognitive Neuroscience (147 citations), Biomedical Engineering (208 citations) and Equine (7 citations). Bryan McLaughlin has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Polina Anikeeva, Kip A. Ludwig, Karen Birmingham, Warren M. Grill, Douglas J. Weber, Viviana Gradinaru, Victor Pikov, Pankaj J. Pasricha, Kristoffer Famm and Cathryn S. Mellersh. Their work appears in journals such as PLoS ONE, Scientific Reports, Neuromodulation Technology at the Neural Interface, Neurosurgery and Journal of Neural Engineering.

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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