Bryan McLaughlin

885 citations
28 papers · 609 · h-index 11

Impact in

Papers in

Bryan McLaughlin

25 papers receiving 594 citations

Peers

Bryan McLaughlin
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 284
  • Neurology 102
  • Cognitive Neuroscience 139
  • Biomedical Engineering 205
  • Anesthesiology and Pain Medicine 20
Replace Polina Shkorbatova with:
Polina Shkorbatova Russia
Enrico Marani Netherlands
Henri Lorach United States
Ignacio Delgado Spain
Natalia Pavlova Russia
Jean‐Louis Divoux France
Beatrice Barra Switzerland
Agnella D. Izzo United States
Sharon Norman United States
Heather A.C. Wark United States
Bryan McLaughlin relative to Polina Shkorbatova Russia Polina Shkorbatova's profile →
Citations per field
00.5×10×14.7×
Polina Shkorbatova · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014257
2 201581
3 201574
4 201139
5 200927
6 201018
7 201215
8 202114
9 201913
10 202212
11 201710
12 20228
13 20227
14 20157
15 20226
16 20125
17 20155
18 20233
19 20212
20 20241

About Bryan McLaughlin

Bryan McLaughlin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Surgery and Genetics, having authored 28 papers that have together received 609 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (9 papers), EEG and Brain-Computer Interfaces (7 papers), Pain Management and Treatment (4 papers), Photoreceptor and optogenetics research (4 papers), Connexins and lens biology (3 papers), Urinary Bladder and Prostate Research (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers) and Vagus Nerve Stimulation Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (284 citations), Neurology (102 citations), Cognitive Neuroscience (139 citations), Biomedical Engineering (205 citations) and Anesthesiology and Pain Medicine (20 citations). Bryan McLaughlin has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Polina Anikeeva, Douglas J. Weber, Warren M. Grill, Kip A. Ludwig, Kristoffer Famm, Pankaj J. Pasricha, Viviana Gradinaru, Victor Pikov, Karen Birmingham and Cathryn S. Mellersh. Their work appears in journals such as PLoS ONE, Veterinary Ophthalmology, Neuromodulation Technology at the Neural Interface, Journal of Neural Engineering and Scientific Reports.

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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