Emily C. Collins

4.2k total citations · 1 hit paper
59 papers, 1.1k citations indexed

About

Emily C. Collins is a scholar working on Physiology, Psychiatry and Mental health and Social Psychology. According to data from OpenAlex, Emily C. Collins has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Physiology, 11 papers in Psychiatry and Mental health and 10 papers in Social Psychology. Recurrent topics in Emily C. Collins's work include Alzheimer's disease research and treatments (22 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Dementia and Cognitive Impairment Research (7 papers). Emily C. Collins is often cited by papers focused on Alzheimer's disease research and treatments (22 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Dementia and Cognitive Impairment Research (7 papers). Emily C. Collins collaborates with scholars based in United States, United Kingdom and Belgium. Emily C. Collins's co-authors include John R. Sims, Sergey Shcherbinin, Frances A. Karnes, Mark F. Lythgoe, Mark A. Mintun, Ming Lu, Michael J. Pontecorvo, David Cameron, Ozama Ismail and Samantha C. Burnham and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Emily C. Collins

55 papers receiving 1.1k 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.

Association of Donanemab Treatment With Exploratory Plasma Biomarkers in Early Symptomatic Alzheimer Disease

2022 138 citations Michael J. Pontecorvo, Ming Lu et al. JAMA Neurology profile →

Peers

Emily C. Collins

PHYSI

PMH

RNMI

Allitia DiBernardo United States

Jin‐Hun Sohn South Korea

Xiang Wang China

Jae‐Won Jang South Korea

Bernard Croisile France

Hyun Sang Cho South Korea

Dai Zhang China

Miguel A. Pozo Spain

Ahmed Abdulkadir Switzerland

Allitia DiBernardo United States

Emily C. Collins

219 ×0.7

PHYSI

399 ×1.4

PMH

69 ×0.3

RNMI

86 ×0.5

163 ×1.3

Citations per year, relative to Emily C. Collins Emily C. Collins (= 1×) peers Allitia DiBernardo

Countries citing papers authored by Emily C. Collins

Since Specialization

Citations

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

Fields of papers citing papers by Emily C. Collins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily C. Collins. 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 Emily C. Collins. The network helps show where Emily C. Collins may publish in the future.

Co-authorship network of co-authors of Emily C. Collins

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

All Works

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20 of 20 papers shown

Lu, Ming‐Chi, Amanda Sheffield Morris, Rose Beck, et al.. (2025). Analytical Validation and Performance of a Blood-Based P-tau217 Diagnostic Test for Alzheimer Disease. The Journal of Applied Laboratory Medicine. 10(3). 533–545. 4 indexed citations

Lu, Ming, Emily C. Collins, Sergey Shcherbinin, et al.. (2025). Posttreatment Amyloid Levels and Clinical Outcomes Following Donanemab for Early Symptomatic Alzheimer Disease. JAMA Neurology. 82(12). 1251–1251. 2 indexed citations

Hodsdon, Michael E., Ming‐Chi Lu, Amanda Sheffield Morris, et al.. (2024). Clinical validation of the Eli Lilly SPX P‐tau217 blood‐based immunoassay as a laboratory‐developed test (LDT). Alzheimer s & Dementia. 20(S8).

Eldik, Linda J. Van, Eric Siemers, Emily C. Collins, et al.. (2024). Understanding recent advances in non‐amyloid/non‐tau (NANT) biomarkers and therapeutic targets in Alzheimer's disease. Alzheimer s & Dementia Translational Research & Clinical Interventions. 10(4). e70014–e70014. 1 indexed citations

Mintun, Mark A., Craig Ritchie, Paul R. Solomon, et al.. (2023). Donanemab in Early Symptomatic Alzheimer’s Disease: Efficacy and Safety in TRAILBLAZER‐ALZ 2, a Phase 3 Randomized Clinical Trial. Alzheimer s & Dementia. 19(S24). 6 indexed citations

Shcherbinin, Sergey, Ivelina Gueorguieva, Cynthia Evans, et al.. (2023). Amyloid re‐accumulation after donanemab treatment: summary from 3 interventional trials. Alzheimer s & Dementia. 19(S14). 3 indexed citations

Hasson, Christopher J., et al.. (2023). Neurorehabilitation robotics: how much control should therapists have?. Frontiers in Human Neuroscience. 17. 1179418–1179418. 4 indexed citations

Wang, Hong, Stephen Salloway, Michelle Papka, et al.. (2023). TRAILBLAZER‐ALZ 4: Directly comparing donanemab to aducanumab on amyloid lowering in early, symptomatic Alzheimer’s disease ‐ Results from 12‐months. Alzheimer s & Dementia. 19(S24). e082529–e082529. 5 indexed citations

Creighton, Samantha D., Gilda Stefanelli, Mark A. Brimble, et al.. (2023). Sex‐specific accumulation and therapeutic effect of the histone variant H2A.Z in Alzheimer’s disease. Alzheimer s & Dementia. 19(S1). 1 indexed citations

10.

Shcherbinin, Sergey, Amanda Sheffield Morris, Ixavier A. Higgins, et al.. (2023). Tau as a diagnostic instrument in clinical trials to predict amyloid in Alzheimer's disease. Alzheimer s & Dementia Translational Research & Clinical Interventions. 9(3). e12415–e12415. 10 indexed citations

11.

Fisher, Michael, Rafael C. Cardoso, Emily C. Collins, et al.. (2021). An Overview of Verification and Validation Challenges for Inspection Robots. Robotics. 10(2). 67–67. 32 indexed citations

12.

Lee, Jae‐Hoon, Jeih‐San Liow, Soumen Paul, et al.. (2020). PET quantification of brain O-GlcNAcase with [18F]LSN3316612 in healthy human volunteers. EJNMMI Research. 10(1). 20–20. 21 indexed citations

13.

Collins, Emily C.. (2019). Drawing parallels in human–other interactions: a trans-disciplinary approach to developing human–robot interaction methodologies. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1771). 20180433–20180433. 15 indexed citations

14.

Zamansky, Anna, Mandy Roshier, Clara Mancini, et al.. (2017). A Report on the First International Workshop on Research Methods in Animal-Computer Interaction. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 806–815. 23 indexed citations

15.

O'Callaghan, J.M., Holly E. Holmes, Nick Powell, et al.. (2017). Tissue magnetic susceptibility mapping as a marker of tau pathology in Alzheimer's disease. NeuroImage. 159. 334–345. 43 indexed citations

16.

Cameron, David, Jonathan M. Aitken, Emily C. Collins, et al.. (2015). Framing Factors: The Importance of Context and the Individual in Understanding Trust in Human-Robot Interaction. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 17 indexed citations

17.

Cameron, David, Samuel Fernando, Emily C. Collins, et al.. (2015). Presence of Life-Like Robot Expressions Influences Children’s Enjoyment of Human-Robot Interactions in the Field. University of Twente Research Information. 22 indexed citations

18.

Colgan, Niall, Bernard Siow, John M. O’Callaghan, et al.. (2015). Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease. NeuroImage. 125. 739–744. 154 indexed citations

19.

Benschop, Robert J., Emily C. Collins, Ryan J. Darling, et al.. (2014). Development of a novel antibody to calcitonin gene-related peptide for the treatment of osteoarthritis-related pain. Osteoarthritis and Cartilage. 22(4). 578–585. 100 indexed citations

20.

Conway, Richard G., Eyassu Chernet, Robert J. Benschop, et al.. (2012). Glucose Metabolic Trapping in Mouse Arteries: Nonradioactive Assay of Atherosclerotic Plaque Inflammation Applicable to Drug Discovery. PLoS ONE. 7(11). e50349–e50349. 7 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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