Michelle Pham

1.1k total citations
11 papers, 202 citations indexed

About

Michelle Pham is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Michelle Pham has authored 11 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Michelle Pham's work include Neuroscience and Neural Engineering (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Neurological disorders and treatments (3 papers). Michelle Pham is often cited by papers focused on Neuroscience and Neural Engineering (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Neurological disorders and treatments (3 papers). Michelle Pham collaborates with scholars based in United States. Michelle Pham's co-authors include Erin A. Cech, Aaron B. Caughey, Eran Klein, Sara Goering, Matthew Sample, Anjali R. Truitt, Jane E. Huggins, Laura Specker Sullivan, Timothy Brown and Michael S. Okun and has published in prestigious journals such as Obstetrics and Gynecology, Frontiers in Human Neuroscience and Brain stimulation.

In The Last Decade

Michelle Pham

10 papers receiving 189 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Pham United States 6 53 44 35 35 35 11 202
Victoria Wright United Kingdom 8 17 0.3× 6 0.1× 35 1.0× 15 0.4× 35 1.0× 13 244
Randall R. Lyle United States 9 72 1.4× 13 0.3× 10 0.3× 19 0.5× 21 271
Charlie Huntington United States 8 31 0.6× 151 3.4× 5 0.1× 128 3.7× 6 0.2× 15 263
Purnima Valdez United States 5 23 0.4× 13 0.3× 24 0.7× 78 2.2× 8 319
Hiu‐fai Fong United States 10 52 1.0× 7 0.2× 6 0.2× 40 1.1× 12 289
Ezra Aydin United Kingdom 13 115 2.2× 6 0.1× 3 0.1× 17 0.5× 49 1.4× 20 332
Sarah Pearce United Kingdom 10 101 1.9× 5 0.1× 44 1.3× 68 1.9× 34 304
Jeannie DiClementi United States 8 14 0.3× 91 2.1× 11 0.3× 90 2.6× 2 0.1× 14 363
Lee Thompson Japan 6 49 0.9× 55 1.3× 2 0.1× 63 1.8× 5 0.1× 16 267
Rachel A. Lindstrom United States 8 40 0.8× 20 0.5× 7 0.2× 90 2.6× 1 0.0× 17 233

Countries citing papers authored by Michelle Pham

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Pham

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

All Works

11 of 11 papers shown
1.
Pham, Michelle, et al.. (2025). Mind the gap: bridging ethical considerations and regulatory oversight in implantable BCI human subjects research. Frontiers in Human Neuroscience. 19. 1633627–1633627.
3.
Merner, Amanda R., Kristin M. Kostick, Michelle Pham, et al.. (2023). Participant perceptions of changes in psychosocial domains following participation in an adaptive deep brain stimulation trial. Brain stimulation. 16(4). 990–998. 8 indexed citations
4.
Pham, Michelle, Laura Torgerson, Kristin M. Kostick, et al.. (2023). Clinician perspectives on levels of evidence and oversight for deep brain stimulation for treatment-resistant childhood OCD. Journal of Obsessive-Compulsive and Related Disorders. 39. 100830–100830. 2 indexed citations
5.
Lázaro‐Muñoz, Gabriel, Michelle Pham, Katrina A. Muñoz, et al.. (2022). Post-trial access in implanted neural device research: Device maintenance, abandonment, and cost. Brain stimulation. 15(5). 1029–1036. 20 indexed citations
6.
Pham, Michelle, et al.. (2022). Engagement, Exploitation, and Human Intracranial Electrophysiology Research. Neuroethics. 15(3). 1 indexed citations
7.
Pham, Michelle, Eric A. Storch, & Gabriel Lázaro‐Muñoz. (2021). Testimonial injustice: considering caregivers in paediatric behavioural healthcare. Journal of Medical Ethics. 47(11). 738–739. 1 indexed citations
8.
Pham, Michelle, Sara Goering, Matthew Sample, Jane E. Huggins, & Eran Klein. (2018). Asilomar survey: researcher perspectives on ethical principles and guidelines for BCI research. 5(4). 97–111. 17 indexed citations
9.
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
10.
Cech, Erin A. & Michelle Pham. (2017). Queer in STEM Organizations: Workplace Disadvantages for LGBT Employees in STEM Related Federal Agencies. Social Sciences. 6(1). 12–12. 88 indexed citations
11.
Pham, Michelle, et al.. (2013). Risk of Childhood Obesity in the Toddler Offspring of Mothers With Gestational Diabetes. Obstetrics and Gynecology. 121(5). 976–982. 40 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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