Jamie Adams

5.7k total citations · 2 hit papers
38 papers, 3.2k citations indexed

About

Jamie Adams is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Jamie Adams has authored 38 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Neurology, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Physiology. Recurrent topics in Jamie Adams's work include Parkinson's Disease Mechanisms and Treatments (23 papers), Neurological disorders and treatments (18 papers) and Genetic Neurodegenerative Diseases (10 papers). Jamie Adams is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (23 papers), Neurological disorders and treatments (18 papers) and Genetic Neurodegenerative Diseases (10 papers). Jamie Adams collaborates with scholars based in United States, United Kingdom and Denmark. Jamie Adams's co-authors include E. Ray Dorsey, Christopher G. Tarolli, Saloni Sharma, Karthik Dinesh, Gaurav Sharma, Mulin Xiong, Kevin Biglan, Steven Goldenthal, Nirav Sheth and Alexander J. Aranyosi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.

In The Last Decade

Jamie Adams

33 papers receiving 3.1k citations

Hit Papers

Multiple Wearable Sensors in Parkinson and Huntington Dis... 2017 2026 2020 2023 2017 2018 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie Adams United States 16 2.1k 603 576 502 458 38 3.2k
Christopher G. Tarolli United States 16 2.2k 1.0× 589 1.0× 603 1.0× 525 1.0× 460 1.0× 36 3.3k
Mulin Xiong United States 9 1.8k 0.9× 515 0.9× 541 0.9× 433 0.9× 394 0.9× 15 2.8k
Saloni Sharma United States 20 2.1k 1.0× 571 0.9× 571 1.0× 689 1.4× 430 0.9× 65 3.6k
Nirav Sheth United States 9 1.8k 0.8× 529 0.9× 533 0.9× 463 0.9× 481 1.1× 9 3.0k
William Zhu United States 10 1.8k 0.9× 494 0.8× 524 0.9× 430 0.9× 386 0.8× 17 2.7k
Steven Goldenthal United States 6 1.8k 0.8× 502 0.8× 529 0.9× 408 0.8× 386 0.8× 11 2.6k
Tien K. Khoo Australia 33 3.1k 1.5× 736 1.2× 642 1.1× 774 1.5× 380 0.8× 69 4.2k
Roongroj Bhidayasiri Thailand 33 3.0k 1.4× 550 0.9× 874 1.5× 395 0.8× 248 0.5× 222 4.0k
Mandar Jog Canada 30 2.3k 1.1× 660 1.1× 1.1k 1.9× 993 2.0× 558 1.2× 206 4.4k
Inga Liepelt‐Scarfone Germany 23 2.2k 1.0× 568 0.9× 396 0.7× 503 1.0× 251 0.5× 100 3.0k

Countries citing papers authored by Jamie Adams

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Adams

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Adams. A scholar is included among the top collaborators of Jamie Adams 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 Jamie Adams. Jamie Adams 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.
Mammen, Jennifer R., Aaron B. Lerner, Melissa Kostrzebski, et al.. (2025). Longitudinal qualitative assessment of meaningful symptoms and relevance of WATCH-PD digital measures for people with early Parkinson’s. Journal of Neurology. 272(2). 114–114. 4 indexed citations
2.
Islam, Md. Saiful, Sangwu Lee, Wasifur Rahman, et al.. (2025). AI-Enabled Parkinson’s Disease Screening Using Smile Videos. NEJM AI. 2(7).
3.
Nunes, Adonay S., Ram Kinker Mishra, Andrew Geronimo, et al.. (2025). Using wearable sensors and machine learning to assess upper limb function in Huntington’s disease. Communications Medicine. 5(1). 50–50. 2 indexed citations
4.
Lerner, Aaron B., et al.. (2025). Fox Insight: Most Bothersome Symptoms in Early‐Stage Parkinson's Disease. Movement Disorders Clinical Practice. 12(4). 510–515.
5.
Quinn, Lori, et al.. (2025). The Digital Frontier in Huntington's Disease: Opportunities for Clinical Trials. Movement Disorders. 40(10). 2067–2076.
6.
Nunes, Adonay S., Ram Kinker Mishra, Andrew Geronimo, et al.. (2025). Digital speech assessments and machine learning for differentiation of neurodegenerative diseases. Clinical Parkinsonism & Related Disorders. 13. 100389–100389.
7.
Johnson, Shane, Joan Severson, Ray Dorsey, et al.. (2024). Wearable Sensor-Based Assessments for Remotely Screening Early-Stage Parkinson’s Disease. Sensors. 24(17). 5637–5637. 4 indexed citations
8.
Dorsey, E. Ray, Peggy Auinger, Jamie Adams, et al.. (2024). Dry‐Cleaning Chemicals and a Cluster of Parkinson's Disease and Cancer: A Retrospective Investigation. Movement Disorders. 39(3). 606–613. 3 indexed citations
9.
Mammen, Jennifer R., et al.. (2024). Understanding what aspects of Parkinson’s disease matter most to patients and families. Scientific Reports. 14(1). 21171–21171. 6 indexed citations
10.
Nunes, Adonay S., Ram Kinker Mishra, Emma Waddell, et al.. (2024). Digital assessment of speech in Huntington disease. Frontiers in Neurology. 15. 1310548–1310548. 6 indexed citations
11.
Yang, Liuqing, Jie Shen, Michelle Crouthamel, et al.. (2024). Improved measurement of disease progression in people living with early Parkinson’s disease using digital health technologies. SHILAP Revista de lepidopterología. 4(1). 49–49. 7 indexed citations
12.
Gordon, Andrew, et al.. (2023). What over 1,000,000 participants tell us about online research protocols. Frontiers in Human Neuroscience. 17. 1228365–1228365. 4 indexed citations
13.
Tracey, Brian, Dmitri Volfson, James Glass, et al.. (2023). Towards interpretable speech biomarkers: exploring MFCCs. Scientific Reports. 13(1). 22787–22787. 14 indexed citations
14.
Tarolli, Christopher G., Rumen Hristov, Stella Jensen-Roberts, et al.. (2022). Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response. Science Translational Medicine. 14(663). eadc9669–eadc9669. 61 indexed citations
15.
Roussos, George, David Hill, Ariel V. Dowling, et al.. (2022). Identifying and characterising sources of variability in digital outcome measures in Parkinson’s disease. npj Digital Medicine. 5(1). 93–93. 15 indexed citations
16.
Adams, Jamie, Karthik Dinesh, Christopher W. Snyder, et al.. (2021). A real-world study of wearable sensors in Parkinson’s disease. npj Parkinson s Disease. 7(1). 106–106. 46 indexed citations
17.
Adams, Jamie, Emma Waddell, Karthik Dinesh, et al.. (2020). GEORGE® – The First Smartphone Application for Huntington Disease: A Pilot Study (4467). Neurology. 94(15_supplement). 1 indexed citations
18.
Schneider, Ruth B., Taylor Myers, Margaret Daeschler, et al.. (2020). Validation of Fox Insight Cohort via Virtual Research Visits (4749). Neurology. 94(15_supplement). 1 indexed citations
19.
Kossoff, Eric H., Zahava Turner, Jamie Adams, et al.. (2020). Ketogenic diet therapy provision in the COVID-19 pandemic: Dual-center experience and recommendations. Epilepsy & Behavior. 111. 107181–107181. 32 indexed citations
20.
Adams, Jamie, Christopher G. Tarolli, & E. Ray Dorsey. (2017). Next Generation House Call.. PubMed. 2017. 1 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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