Matthew Sample

784 total citations
23 papers, 460 citations indexed

About

Matthew Sample is a scholar working on Cognitive Neuroscience, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Matthew Sample has authored 23 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 7 papers in Molecular Biology and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Matthew Sample's work include Neuroethics, Human Enhancement, Biomedical Innovations (8 papers), Cognitive Functions and Memory (7 papers) and EEG and Brain-Computer Interfaces (7 papers). Matthew Sample is often cited by papers focused on Neuroethics, Human Enhancement, Biomedical Innovations (8 papers), Cognitive Functions and Memory (7 papers) and EEG and Brain-Computer Interfaces (7 papers). Matthew Sample collaborates with scholars based in United States, Canada and Germany. Matthew Sample's co-authors include Éric Racine, Eran Klein, Sara Goering, Anjali R. Truitt, Timothy Brown, Sebastian Sattler, Stefanie Blain‐Moraes, David Rodríguez‐Arias, Petr Šulc and Michelle Pham and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Matthew Sample

22 papers receiving 449 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Sample United States 11 236 124 65 64 64 23 460
Nita A. Farahany United States 13 243 1.0× 64 0.5× 101 1.6× 33 0.5× 32 0.5× 26 631
Veronica Johansson Sweden 12 132 0.6× 49 0.4× 52 0.8× 58 0.9× 14 0.2× 36 538
Robert G. Alexander United States 15 181 0.8× 24 0.2× 53 0.8× 13 0.2× 66 1.0× 29 572
Xiaohua Li China 7 25 0.1× 39 0.3× 49 0.8× 10 0.2× 11 0.2× 14 350
Kaivon Pakzad-Vaezi Canada 15 433 1.8× 49 0.4× 80 1.2× 32 0.5× 31 0.5× 27 1.0k
Timothy Brown United States 10 190 0.8× 215 1.7× 4 0.1× 204 3.2× 14 0.2× 33 444
Jeffrey M. Yau United States 19 742 3.1× 58 0.5× 43 0.7× 15 0.2× 77 1.2× 40 1.1k
Stephanie N. Del Tufo United States 12 344 1.5× 48 0.4× 13 0.2× 9 0.1× 21 0.3× 27 616
M. Andrea Pisauro United Kingdom 7 224 0.9× 53 0.4× 12 0.2× 12 0.2× 20 0.3× 10 329
Itay Asher Israel 9 226 1.0× 92 0.7× 3 0.0× 6 0.1× 82 1.3× 12 326

Countries citing papers authored by Matthew Sample

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Sample

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Sample

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

All Works

20 of 20 papers shown
1.
Matthies, Michael, et al.. (2025). How We Simulate DNA Origami. Small Methods. 9(6). e2401526–e2401526. 4 indexed citations
2.
Arantes, Pablo R., Xiaoyu Chen, Aakash Saha, et al.. (2024). Biophysical origin of adenine base editors’ improved editing efficiency. Biophysical Journal. 123(3). 340a–340a. 1 indexed citations
3.
Sample, Matthew, et al.. (2024). Hairygami: Analysis of DNA Nanostructures’ Conformational Change Driven by Functionalizable Overhangs. ACS Nano. 18(43). 30004–30016. 7 indexed citations
4.
Arantes, Pablo R., Xiaoyu Chen, Aakash Saha, et al.. (2024). Dimerization of the deaminase domain and locking interactions with Cas9 boost base editing efficiency in ABE8e. Nucleic Acids Research. 52(22). 13931–13944. 10 indexed citations
5.
Xu, Yang, Shuoxing Jiang, Matthew Sample, et al.. (2023). CytoDirect: A Nucleic Acid Nanodevice for Specific and Efficient Delivery of Functional Payloads to the Cytoplasm. Journal of the American Chemical Society. 145(50). 27336–27347. 31 indexed citations
6.
Sample, Matthew, et al.. (2023). Brain-computer interfaces, disability, and the stigma of refusal: A factorial vignette study. Public Understanding of Science. 32(4). 522–542. 6 indexed citations
7.
Sample, Matthew, et al.. (2022). Brain-Computer Interfaces, Inclusive Innovation, and the Promise of Restoration: A Mixed-Methods Study with Rehabilitation Professionals. SHILAP Revista de lepidopterología. 8(2). 6 indexed citations
8.
Aydin, Onur, Austin P. Passaro, Ritu Raman, et al.. (2022). Principles for the design of multicellular engineered living systems. APL Bioengineering. 6(1). 10903–10903. 27 indexed citations
9.
Sample, Matthew. (2022). Science, responsibility, and the philosophical imagination. Synthese. 200(2). 4 indexed citations
10.
Sample, Matthew, Sebastian Sattler, Stefanie Blain‐Moraes, David Rodríguez‐Arias, & Éric Racine. (2019). Do Publics Share Experts’ Concerns about Brain–Computer Interfaces? A Trinational Survey on the Ethics of Neural Technology. Science Technology & Human Values. 45(6). 1242–1270. 24 indexed citations
11.
Sample, Matthew, Marjorie Aunos, Stefanie Blain‐Moraes, et al.. (2019). Brain–computer interfaces and personhood: interdisciplinary deliberations on neural technology. Journal of Neural Engineering. 16(6). 63001–63001. 23 indexed citations
12.
Racine, Éric, et al.. (2019). Healthcare uses of artificial intelligence: Challenges and opportunities for growth. Healthcare Management Forum. 32(5). 272–275. 55 indexed citations
13.
Sample, Matthew, et al.. (2019). Rehabilitation culture and its impact on technology: unpacking practical conditions for ultrabilitation. Disability and Rehabilitation. 42(11). 1490–1494. 3 indexed citations
14.
Racine, Éric & Matthew Sample. (2019). Do We Need Neuroethics?. AJOB Neuroscience. 10(3). 101–103. 1 indexed citations
15.
Sample, Matthew, Marion Boulicault, Rashid Bashir, et al.. (2019). Multi-cellular engineered living systems: building a community around responsible research on emergence. Biofabrication. 11(4). 43001–43001. 15 indexed citations
16.
Racine, Éric & Matthew Sample. (2018). Two Problematic Foundations of Neuroethics and Pragmatist Reconstructions. Cambridge Quarterly of Healthcare Ethics. 27(4). 566–577. 10 indexed citations
17.
Sample, Matthew, et al.. (2017). Ethical aspects of brain computer interfaces: a scoping review. BMC Medical Ethics. 18(1). 60–60. 136 indexed citations
18.
Sullivan, Laura Specker, Eran Klein, Timothy Brown, et al.. (2017). Keeping Disability in Mind: A Case Study in Implantable Brain–Computer Interface Research. Science and Engineering Ethics. 24(2). 479–504. 24 indexed citations
19.
Klein, Eran, Timothy Brown, Matthew Sample, Anjali R. Truitt, & Sara Goering. (2015). Engineering the Brain: Ethical Issues and the Introduction of Neural Devices. The Hastings Center Report. 45(6). 26–35. 48 indexed citations
20.
Sample, Matthew. (2015). Stanford’s Unconceived Alternatives from the Perspective of Epistemic Obligations. Philosophy of Science. 82(5). 856–866. 3 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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