Molly J. Elson

962 total citations · 1 hit paper
9 papers, 436 citations indexed

About

Molly J. Elson is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Molly J. Elson has authored 9 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Molly J. Elson's work include Genetic Neurodegenerative Diseases (4 papers), Neurological disorders and treatments (2 papers) and Telemedicine and Telehealth Implementation (2 papers). Molly J. Elson is often cited by papers focused on Genetic Neurodegenerative Diseases (4 papers), Neurological disorders and treatments (2 papers) and Telemedicine and Telehealth Implementation (2 papers). Molly J. Elson collaborates with scholars based in United States and United Kingdom. Molly J. Elson's co-authors include E. Ray Dorsey, Alistair M. Glidden, Christopher G. Tarolli, Jamie Adams, Andong Zhan, Andreas Terzis, Suchi Saria, Max A. Little, Ruth B. Schneider and Saloni Sharma and has published in prestigious journals such as Neurology, Scientific Reports and JAMA Neurology.

In The Last Decade

Molly J. Elson

8 papers receiving 428 citations

Hit Papers

Using Smartphones and Machine Learning to Quantify Parkin... 2018 2026 2020 2023 2018 50 100 150 200 250
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.

  1. Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity
    2018 272 citations Andong Zhan, Christopher G. Tarolli et al. JAMA Neurology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Molly J. Elson United States 6 207 69 64 62 57 9 436
Alistair M. Glidden United States 6 225 1.1× 64 0.9× 87 1.4× 78 1.3× 59 1.0× 6 529
Katarzyna Śmiłowska Poland 10 308 1.5× 37 0.5× 80 1.3× 50 0.8× 74 1.3× 32 496
Vinayak Venkataraman United States 8 373 1.8× 126 1.8× 129 2.0× 106 1.7× 54 0.9× 18 708
Alessandra Madia Mantovani Brazil 13 230 1.1× 62 0.9× 34 0.5× 25 0.4× 58 1.0× 57 501
Michael Bull United States 7 201 1.0× 28 0.4× 144 2.3× 70 1.1× 39 0.7× 15 429
Paula Rejane Beserra Diniz Brazil 13 80 0.4× 52 0.8× 109 1.7× 63 1.0× 54 0.9× 43 550
Silke Coburger Germany 11 223 1.1× 75 1.1× 226 3.5× 27 0.4× 84 1.5× 13 794
Meredith Spindler United States 15 488 2.4× 171 2.5× 120 1.9× 106 1.7× 107 1.9× 38 772
Elizabeth A. Hubbard United States 20 131 0.6× 59 0.9× 42 0.7× 32 0.5× 12 0.2× 38 925
André Maier Germany 15 310 1.5× 37 0.5× 36 0.6× 26 0.4× 47 0.8× 28 546

Countries citing papers authored by Molly J. Elson

Since Specialization
Citations

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

Fields of papers citing papers by Molly J. Elson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Molly J. Elson. 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 Molly J. Elson. The network helps show where Molly J. Elson may publish in the future.

Co-authorship network of co-authors of Molly J. Elson

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

All Works

9 of 9 papers shown
1.
Waddell, Emma, Karthik Dinesh, Molly J. Elson, et al.. (2021). GEORGE®: A Pilot Study of a Smartphone Application for Huntington’s Disease. Journal of Huntington s Disease. 10(2). 293–301. 10 indexed citations
2.
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
3.
Chakravorty, Samya, et al.. (2020). Expanding the genotype–phenotype correlation of childhood sensory polyneuropathy of genetic origin. Scientific Reports. 10(1). 16184–16184. 5 indexed citations
4.
Elson, Molly J., Vivian Wang, & Jyotirmay Sharma. (2020). Management of Conn's Syndrome Associated with Hypokalemic Nonperiodic Paralysis. The American Surgeon. 86(1). 33–34.
5.
Glidden, Alistair M., Elizabeth Luebbe, Molly J. Elson, et al.. (2020). Patient-reported impact of symptoms in Huntington disease. Neurology. 94(19). e2045–e2053. 39 indexed citations
6.
Elson, Molly J., et al.. (2019). Primary Care in Transgender Persons. Endocrinology and Metabolism Clinics of North America. 48(2). 377–390. 21 indexed citations
7.
Elson, Molly J., Jihoon Lim, Christopher A. Beck, et al.. (2018). Telemedicine for Parkinson's Disease: Limited Engagement Between Local Clinicians and Remote Specialists. Telemedicine Journal and e-Health. 24(9). 722–724. 19 indexed citations
8.
Zhan, Andong, Christopher G. Tarolli, Ruth B. Schneider, et al.. (2018). Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity. JAMA Neurology. 75(7). 876–876. 272 indexed citations breakdown →
9.
Mammen, Jennifer R., Molly J. Elson, James Java, et al.. (2017). Patient and Physician Perceptions of Virtual Visits for Parkinson's Disease: A Qualitative Study. Telemedicine Journal and e-Health. 24(4). 255–267. 69 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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