Daniel R. Merrill

2.7k total citations · 1 hit paper
16 papers, 2.0k citations indexed

About

Daniel R. Merrill is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Daniel R. Merrill has authored 16 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in Daniel R. Merrill's work include Muscle activation and electromyography studies (8 papers), Neuroscience and Neural Engineering (8 papers) and Conducting polymers and applications (3 papers). Daniel R. Merrill is often cited by papers focused on Muscle activation and electromyography studies (8 papers), Neuroscience and Neural Engineering (8 papers) and Conducting polymers and applications (3 papers). Daniel R. Merrill collaborates with scholars based in United States, United Kingdom and Slovakia. Daniel R. Merrill's co-authors include John G. R. Jefferys, Marom Bikson, Patrick A. Tresco, Richard F. Weir, Yi Zou, Martin G. Schwacha, Zhao Lai, Brian J. Eastridge, Susannah E. Nicholson and David M. Burmeister and has published in prestigious journals such as Journal of The Electrochemical Society, IEEE Transactions on Biomedical Engineering and The American Journal of Surgery.

In The Last Decade

Daniel R. Merrill

16 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Electrical stimulation of excitable tissue: design of efficacious and safe protocols

2005 1.5k citations Daniel R. Merrill, Marom Bikson et al. Journal of Neuroscience Methods profile →

Peers

Daniel R. Merrill

CMN

EEE

Kevin J. Otto United States

T.G.H. Yuen United States

Abhishek Prasad United States

Tarun Saxena United States

Donald R. McNeal United States

Sung Il Park South Korea

Matthew Ward United States

Narendra Bhadra United States

Nicholas V. Annetta United States

Michael B. Christensen United States

Kevin J. Otto United States

Daniel R. Merrill

1.6k ×1.1

CMN

1.0k ×1.5

663 ×1.0

485 ×1.0

EEE

334 ×1.2

Citations per year, relative to Daniel R. Merrill Daniel R. Merrill (= 1×) peers Kevin J. Otto

Countries citing papers authored by Daniel R. Merrill

Since Specialization

Citations

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

Fields of papers citing papers by Daniel R. Merrill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Merrill. 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 Daniel R. Merrill. The network helps show where Daniel R. Merrill may publish in the future.

Co-authorship network of co-authors of Daniel R. Merrill

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Merrill. A scholar is included among the top collaborators of Daniel R. Merrill 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 Daniel R. Merrill. Daniel R. Merrill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Bridwell, Rachel E, et al.. (2020). A coronavirus disease 2019 (COVID-19) patient with bilateral orchitis. The American Journal of Emergency Medicine. 42. 260.e3–260.e5. 35 indexed citations

Merrill, Daniel R., et al.. (2020). Cholesterol embolization and arterial occlusion from the Heimlich maneuver. The American Journal of Emergency Medicine. 43. 290.e1–290.e3. 1 indexed citations

Nicholson, Susannah E., David M. Burmeister, Yi Zou, et al.. (2019). A prospective study in severely injured patients reveals an altered gut microbiome is associated with transfusion volume. The Journal of Trauma: Injury, Infection, and Critical Care. 86(4). 573–582. 28 indexed citations

Nicholson, Susannah E., Daniel R. Merrill, Caroline Zhu, et al.. (2018). Polytrauma independent of therapeutic intervention alters the gastrointestinal microbiome. The American Journal of Surgery. 216(4). 699–705. 23 indexed citations

Merrill, Daniel R., et al.. (2018). A 14-day repeated-dose oral toxicological evaluation of an isothiocyanate-enriched hydro-alcoholic extract from Moringa oleifera Lam. seeds in rats. Toxicology Reports. 5. 418–426. 25 indexed citations

Nicholson, Susannah E., Lora Talley Watts, David M. Burmeister, et al.. (2018). Moderate Traumatic Brain Injury Alters the Gastrointestinal Microbiome in a Time-Dependent Manner. Shock. 52(2). 240–248. 109 indexed citations

Merrill, Daniel R.. (2014). Materials considerations of implantable neuroengineering devices for clinical use. Current Opinion in Solid State and Materials Science. 18(6). 329–336. 17 indexed citations

Merrill, Daniel R., et al.. (2011). Development of an Implantable Myoelectric Sensor for Advanced Prosthesis Control. Artificial Organs. 35(3). 249–252. 87 indexed citations

Merrill, Daniel R., Ross Davis, Ruth Turk, & Jane Burridge. (2010). A Personalized Sensor-Controlled Microstimulator System for Arm Rehabilitation Poststroke. Part 1: System Architecture. Neuromodulation Technology at the Neural Interface. 14(1). 72–79. 4 indexed citations

10.

Burridge, Jane, Ruth Turk, Daniel R. Merrill, et al.. (2010). A Personalized Sensor-Controlled Microstimulator System for Arm Rehabilitation Poststroke. Part 2: Objective Outcomes and Patients’ Perspectives. Neuromodulation Technology at the Neural Interface. 14(1). 80–88. 8 indexed citations

11.

Merrill, Daniel R.. (2009). Review of electrical stimulation in cerebral palsy and recommendations for future directions. Developmental Medicine & Child Neurology. 51(s4). 154–165. 26 indexed citations

12.

Merrill, Daniel R. & Patrick A. Tresco. (2005). Impedance Characterization of Microarray Recording Electrodes in Vitro. IEEE Transactions on Biomedical Engineering. 52(11). 1960–1965. 57 indexed citations

13.

Merrill, Daniel R. & Patrick A. Tresco. (2005). Impedance characterization of microarray recording electrodes in vitro. PubMed. 4. 4349–4352. 3 indexed citations

14.

Merrill, Daniel R., Marom Bikson, & John G. R. Jefferys. (2005). Electrical stimulation of excitable tissue: design of efficacious and safe protocols. Journal of Neuroscience Methods. 141(2). 171–198. 1523 indexed citations breakdown →

15.

Merrill, Daniel R., Ionel C. Stefan, Daniel A. Scherson, & J. Thomas Mortimer. (2005). Electrochemistry of Gold in Aqueous Sulfuric Acid Solutions under Neural Stimulation Conditions. Journal of The Electrochemical Society. 152(7). E212–E212. 17 indexed citations

16.

Stefan, Ionel C., Yuriy V. Tolmachev, Zoltán Nagy, et al.. (2001). Theoretical Analysis of the Pulse-Clamp Method as Applied to Neural Stimulating Electrodes. Journal of The Electrochemical Society. 148(2). E73–E73. 8 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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