Taylor Newton

2.7k total citations · 1 hit paper
14 papers, 460 citations indexed

About

Taylor Newton is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Taylor Newton has authored 14 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Taylor Newton's work include Neurological disorders and treatments (3 papers), Neuroscience and Neural Engineering (3 papers) and Transcranial Magnetic Stimulation Studies (2 papers). Taylor Newton is often cited by papers focused on Neurological disorders and treatments (3 papers), Neuroscience and Neural Engineering (3 papers) and Transcranial Magnetic Stimulation Studies (2 papers). Taylor Newton collaborates with scholars based in Switzerland, United States and Estonia. Taylor Newton's co-authors include Henry Markram, Felix Schürmann, Ivo Krejci, René Daher, Marwa Abdelaziz, Juho Pokki, Pedro David Wendel‐Garcia, Bumjin Jang, Olgaç Ergeneman and Salvador Pané and has published in prestigious journals such as Nature Communications, Nano Letters and PLoS ONE.

In The Last Decade

Taylor Newton

13 papers receiving 454 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.

Caries Detection with Near-Infrared Transillumination Using Deep Learning

2019 196 citations Taylor Newton, René Daher et al. Journal of Dental Research profile →

Peers

Taylor Newton

BE

CMP

OS

ME

GD

Noboru Ishihara Japan

Koki KIKUCHI Japan

Björn J. Heismann Germany

Manuel Rubiño Spain

Fumio Uchikoba Japan

Yan Kang China

Maura Power United Kingdom

Jialin Jiang China

Xiaolin Yang China

Noboru Ishihara Japan

Taylor Newton

247 ×1.1

BE

9 ×0.0

CMP

12 ×0.1

OS

48 ×0.4

ME

3 ×0.0

GD

Citations per year, relative to Taylor Newton Taylor Newton (= 1×) peers Noboru Ishihara

Countries citing papers authored by Taylor Newton

Since Specialization

Citations

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

Fields of papers citing papers by Taylor Newton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taylor Newton. 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 Taylor Newton. The network helps show where Taylor Newton may publish in the future.

Co-authorship network of co-authors of Taylor Newton

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Cassarà, Antonino M., Taylor Newton, Katie Zhuang, et al.. (2025). Recommendations for the Safe Application of Temporal Interference Stimulation in the Human Brain Part I: Principles of Electrical Neuromodulation and Adverse Effects. Bioelectromagnetics. 46(2). e22542–e22542. 3 indexed citations

2.

Steiner, Melanie, Taylor Newton, Bryn Lloyd, et al.. (2025). Precision non-invasive brain stimulation: an in silico pipeline for personalized control of brain dynamics. Journal of Neural Engineering. 22(2). 26061–26061. 2 indexed citations

3.

Newton, Taylor, David J. Schaeffer, Christi L. Kolarcik, et al.. (2025). SpIC3D imaging for spinal in situ contrast 3D visualization. Cell Reports Methods. 5(10). 101202–101202.

4.

Cassarà, Antonino M., Taylor Newton, Katie Zhuang, et al.. (2025). Recommendations for the Safe Application of Temporal Interference Stimulation in the Human Brain Part II: Biophysics, Dosimetry, and Safety Recommendations. Bioelectromagnetics. 46(1). e22536–e22536. 4 indexed citations

5.

Farcito, Silvia, Bryn Lloyd, Taylor Newton, et al.. (2024). ID: 337509 A computational model of porcine vagus nerve stimulation and compound action potential sensing. Neuromodulation Technology at the Neural Interface. 27(7). S226–S226. 1 indexed citations

6.

Newton, Taylor, et al.. (2024). A novel CNN-based image segmentation pipeline for individualized feline spinal cord stimulation modeling. Journal of Neural Engineering. 21(3). 36032–36032. 3 indexed citations

7.

Newton, Taylor, et al.. (2023). ID: 221013 Optimizing Spinal Cord Stimulation Using a Novel Green's Function-Based Generalized Activating Function. Neuromodulation Technology at the Neural Interface. 26(4). S44–S44. 2 indexed citations

8.

Fisher, Lee E., Taylor Newton, Esra Neufeld, et al.. (2022). A Computational Study of Lower Urinary Tract Nerve Recruitment with Epidural Stimulation of the Lumbosacral Spinal Cord. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 744–747. 3 indexed citations

9.

Newton, Taylor, et al.. (2021). In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations. Nature Communications. 12(1). 3630–3630. 8 indexed citations

10.

Walker, Richard, et al.. (2021). Stabilization of cultural innovations depends on population density: Testing an epidemiological model of cultural evolution against a global dataset of rock art sites and climate-based estimates of ancient population densities. PLoS ONE. 16(3). e0247973–e0247973. 3 indexed citations

11.

Newton, Taylor, René Daher, Marwa Abdelaziz, et al.. (2019). Caries Detection with Near-Infrared Transillumination Using Deep Learning. Journal of Dental Research. 98(11). 1227–1233. 196 indexed citations breakdown →

12.

Jang, Bumjin, Pedro David Wendel‐Garcia, Taylor Newton, et al.. (2015). Undulatory Locomotion of Magnetic Multilink Nanoswimmers. Nano Letters. 15(7). 4829–4833. 210 indexed citations

13.

Damian, Dana D., Taylor Newton, Rolf Pfeifer, & Allison M. Okamura. (2014). Artificial Tactile Sensing of Position and Slip Speed by Exploiting Geometrical Features. IEEE/ASME Transactions on Mechatronics. 20(1). 263–274. 17 indexed citations

14.

Newton, Taylor & Marcus Spradlin. (2009). Quite a character: The spectrum of Yang–Mills on S3. Physics Letters B. 672(4-5). 382–385. 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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