Daniel R. Merrill
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering top 10%
- Polymers and Plastics top 5%
- Co-authors
- John G. R. JefferysMarom BiksonPatrick A. TrescoRichard F. WeirYi ZouMartin G. SchwachaZhao LaiBrian J. Eastridge
- Topics
- Muscle activation and electromyography studies (8 papers)Neuroscience and Neural Engineering (8 papers)Conducting polymers and applications (3 papers)
- Journals
- Journal of The Electrochemical SocietyIEEE Transactions on Biomedical EngineeringThe American Journal of Surgery
- Partner nations
- United StatesUnited KingdomSlovakia
In The Last Decade
Daniel R. Merrill
16 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 1.5k
- Cognitive Neuroscience 675
- Biomedical Engineering 671
- Electrical and Electronic Engineering 482
- Polymers and Plastics 288
Countries citing papers authored by Daniel R. Merrill
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 1 | |
| 3 | 28 | |
| 4 | 23 | |
| 5 | 25 | |
| 6 | 109 | |
| 7 | 17 | |
| 8 | 87 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 26 | |
| 12 | 57 | |
| 13 | 3 | |
| 14 | Electrical stimulation of excitable tissue: design of efficacious and safe protocolsbreakdown → | 1523 |
| 15 | 17 | |
| 16 | 8 |
About Daniel R. Merrill
Daniel R. Merrill is a scholar working on Cellular and Molecular Neuroscience, Electrochemistry and Rehabilitation, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (8 papers), Neuroscience and Neural Engineering (8 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (675 citations) and Neurology (206 citations). Daniel R. Merrill has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent 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. Their work appears in journals such as Journal of The Electrochemical Society, IEEE Transactions on Biomedical Engineering and The American Journal of Surgery.
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.