Bryan McLaughlin

873 total citations
27 papers, 583 citations indexed

About

Bryan McLaughlin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Bryan McLaughlin has authored 27 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 7 papers in Neurology. Recurrent topics in Bryan McLaughlin's work include Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Pain Management and Treatment (5 papers). Bryan McLaughlin is often cited by papers focused on Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Pain Management and Treatment (5 papers). Bryan McLaughlin collaborates with scholars based in United States, United Kingdom and Finland. Bryan McLaughlin's co-authors include Polina Anikeeva, Warren M. Grill, Pankaj J. Pasricha, Viviana Gradinaru, Victor Pikov, Kip A. Ludwig, Karen Birmingham, Kristoffer Famm, Douglas J. Weber and Cathryn S. Mellersh and has published in prestigious journals such as PLoS ONE, Nature Reviews Drug Discovery and Journal of Neurophysiology.

In The Last Decade

Bryan McLaughlin

25 papers receiving 569 citations

Peers

Bryan McLaughlin

CMN

NEURO

H. Isaac Chen United States

Jose G. Grajales‐Reyes United States

Jean‐Louis Divoux France

Karl Sillay United States

Doris Lam United States

Michael B. Christensen United States

Karina Needham Australia

Roy M. Smeal United States

Chin Su Koh South Korea

Y. Handa Japan

H. Isaac Chen United States

Bryan McLaughlin

419 ×1.4

CMN

264 ×1.3

220 ×1.5

55 ×0.5

NEURO

253 ×2.4

Citations per year, relative to Bryan McLaughlin Bryan McLaughlin (= 1×) peers H. Isaac Chen

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-authorship network of co-authors of Bryan McLaughlin

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan McLaughlin. A scholar is included among the top collaborators of Bryan McLaughlin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bryan McLaughlin. Bryan McLaughlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Calvert, Jonathan S., Jaeson Jang, Girish Chitnis, et al.. (2025). An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation. Journal of Neural Engineering. 22(2). 26023–26023.

Telkes, Ilknur, Marisa DiMarzio, Tessa Harland, et al.. (2024). Correlating Evoked Electromyography and Anatomic Factors During Spinal Cord Stimulation Implantation With Short-Term Outcomes. Neuromodulation Technology at the Neural Interface. 27(8). 1470–1478.

Pettitt, Louise, Chris Dixon, Ellen Schofield, et al.. (2023). Multiocular defect in the Old English Sheepdog: A canine form of Stickler syndrome type II associated with a missense variant in the collagen-type gene COL11A1. PLoS ONE. 18(12). e0295851–e0295851. 1 indexed citations

Telkes, Ilknur, Shruti Agarwal, Kevin F. McCarthy, et al.. (2023). Investigation of the intraoperative cortical responses to spinal motor mapping in a patient with chronic pain. Journal of Neurophysiology. 130(3). 768–774. 3 indexed citations

Chiang, Chia‐Han, Charles Wang, Michael Trumpis, et al.. (2022). High-Density, Actively Multiplexed µECoG Array on Reinforced Silicone Substrate. Frontiers in Nanotechnology. 4. 8 indexed citations

Fisher, Lee E., et al.. (2022). High-density spinal cord stimulation selectively activates lower urinary tract nerves. Journal of Neural Engineering. 19(6). 66014–66014. 5 indexed citations

Nanivadekar, Ameya C., Derek M. Miller, Bryan McLaughlin, et al.. (2021). Selective stimulation of the ferret abdominal vagus nerve with multi-contact nerve cuff electrodes. Scientific Reports. 11(1). 12925–12925. 13 indexed citations

Horn, Charles C., et al.. (2021). Surgical placement of customized abdominal vagus nerve stimulating and gastrointestinal serosal surface recording electrodes. Journal of Surgical Case Reports. 2021(10). rjab463–rjab463. 2 indexed citations

Nanivadekar, Ameya C., Derek M. Miller, Girish Chitnis, et al.. (2019). Machine learning prediction of emesis and gastrointestinal state in ferrets. PLoS ONE. 14(10). e0223279–e0223279. 13 indexed citations

10.

Everson, Richard G., Louise Pettitt, Oliver P. Forman, et al.. (2017). An intronic LINE-1 insertion in MERTK is strongly associated with retinopathy in Swedish Vallhund dogs. PLoS ONE. 12(8). e0183021–e0183021. 9 indexed citations

11.

Xu, Jian, et al.. (2015). An integrated sub-scalp EEG sensor for diagnosis in epilepsy. 1–4. 5 indexed citations

12.

Park, Seongjun, Ryan A. Koppes, Ulrich P. Froriep, et al.. (2015). Optogenetic control of nerve growth. Scientific Reports. 5(1). 9669–9669. 72 indexed citations

13.

Ricketts, Sally L., et al.. (2015). A novel locus on canine chromosome 13 is associated with cataract in the Australian Shepherd breed of domestic dog. Mammalian Genome. 26(5-6). 257–263. 7 indexed citations

14.

Sando, Ian C., R. Brent Gillespie, Bryan McLaughlin, et al.. (2015). Providing a Sense of Touch to Prosthetic Hands. Plastic & Reconstructive Surgery. 135(6). 1652–1663. 75 indexed citations

15.

Birmingham, Karen, Viviana Gradinaru, Polina Anikeeva, et al.. (2014). Bioelectronic medicines: a research roadmap. Nature Reviews Drug Discovery. 13(6). 399–400. 246 indexed citations

16.

McLaughlin, Bryan, et al.. (2012). An electroencephalographic recording platform for real-time seizure detection. PubMed. 1. 875–878. 5 indexed citations

17.

Pedersen, Niels C., et al.. (2012). Genetic characterization of healthy and sebaceous adenitis affected Standard Poodles from the United States and the United Kingdom. Tissue Antigens. 80(1). 46–57. 15 indexed citations

18.

Gould, David, Louise Pettitt, Bryan McLaughlin, et al.. (2011). ADAMTS17 mutation associated with primary lens luxation is widespread among breeds. Veterinary Ophthalmology. 14(6). 378–384. 39 indexed citations

19.

Brown, Eric, Shayne S. Hughes, Bryan McLaughlin, et al.. (2010). Estimated Frequency of the Canine Hyperuricosuria Mutation in Different Dog Breeds. Journal of Veterinary Internal Medicine. 24(6). 1337–1342. 17 indexed citations

20.

Mellersh, Cathryn S., Bryan McLaughlin, Saija Ahonen, et al.. (2009). Mutation in HSF4 is associated with hereditary cataract in the Australian Shepherd. Veterinary Ophthalmology. 12(6). 372–378. 25 indexed citations

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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