Graham J. Taylor
-
- Photoreceptor and optogenetics research 4
- Neuroscience and Neural Engineering 3
-
- Electrowetting and Microfluidic Technologies 6
- Electrohydrodynamics and Fluid Dynamics 3
- Advanced Memory and Neural Computing 3
-
- Nanopore and Nanochannel Transport Studies 3
-
- Lipid Membrane Structure and Behavior 12
-
- Spectroscopy and Quantum Chemical Studies 4
- Co-authors
- Stephen A. SarlesC. Patrick CollierRyan WeissGarrett S. RoseJoseph S. NajemMd Sakib HasanAlex BelianinovCatherine D. Schuman
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringBiomedical Engineering
- Journals
- Journal of the American Chemical Society (1 paper)Nature Communications (1 paper)ACS Nano (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Graham J. Taylor
19 papers receiving 651 citations
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 163
- Electrical and Electronic Engineering 270
- Biomedical Engineering 203
- Electrochemistry 28
- Molecular Biology 309
Countries citing papers authored by Graham J. Taylor
This map shows the geographic impact of Graham J. Taylor'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 Graham J. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham J. Taylor more than expected).
Fields of papers citing papers by Graham J. Taylor
This network shows the impact of papers produced by Graham J. Taylor. 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 Graham J. Taylor. The network helps show where Graham J. Taylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Graham J. Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2020 | 6 | |
| 3 | 2019 | 28 | |
| 4 | 2019 | 36 | |
| 5 | 2019 | 81 | |
| 6 | 2019 | 46 | |
| 7 | 2019 | 12 | |
| 8 | 2019 | 7 | |
| 9 | 2019 | 30 | |
| 10 | 2018 | 20 | |
| 11 | 2018 | 150 | |
| 12 | 2018 | 42 | |
| 13 | 2017 | 32 | |
| 14 | 2017 | 2 | |
| 15 | 2016 | 23 | |
| 16 | Improving Droplet Interface Bilayers as Models for Cell Membranes | 2016 | 1 |
| 17 | 2015 | 91 | |
| 18 | 2015 | 8 | |
| 19 | 2014 | 39 |
About Graham J. Taylor
Graham J. Taylor is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 19 papers that have together received 655 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (12 papers), Electrowetting and Microfluidic Technologies (6 papers), Photoreceptor and optogenetics research (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Electrohydrodynamics and Fluid Dynamics (3 papers), Advanced Memory and Neural Computing (3 papers), Nanopore and Nanochannel Transport Studies (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (163 citations), Electrical and Electronic Engineering (270 citations) and Biomedical Engineering (203 citations). Graham J. Taylor has collaborated with scholars based in United States and Canada. Frequent co-authors include Stephen A. Sarles, C. Patrick Collier, Ryan Weiss, Garrett S. Rose, Joseph S. Najem, Md Sakib Hasan, Alex Belianinov, Catherine D. Schuman, Eric C. Freeman and John Katsaras. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and ACS Nano.
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.