Patrick Burkett

573 total citations · 1 hit paper
4 papers, 415 citations indexed

About

Patrick Burkett is a scholar working on Physiology, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Patrick Burkett has authored 4 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Neurology and 2 papers in Psychiatry and Mental health. Recurrent topics in Patrick Burkett's work include Alzheimer's disease research and treatments (3 papers), Dementia and Cognitive Impairment Research (2 papers) and Nuclear Receptors and Signaling (1 paper). Patrick Burkett is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Dementia and Cognitive Impairment Research (2 papers) and Nuclear Receptors and Signaling (1 paper). Patrick Burkett collaborates with scholars based in United States, United Kingdom and Netherlands. Patrick Burkett's co-authors include Derk D. Purcell, Frederik Barkhof, Priya Singhal, Stephen Salloway, Spyros Chalkias, Guanfang Wang, Fiona Forrestal, Ying Tian, Kimberly Umans and Samantha Budd Haeberlein and has published in prestigious journals such as Neurology, JAMA Neurology and Alzheimer s & Dementia.

In The Last Decade

Patrick Burkett

3 papers receiving 408 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.

Amyloid-Related Imaging Abnormalities in 2 Phase 3 Studies Evaluating Aducanumab in Patients With Early Alzheimer Disease

2021 411 citations Stephen Salloway, Spyros Chalkias et al. JAMA Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Burkett United States	2	280	103	102	97	74	4	415
Nicola Voyle United Kingdom	9	276 1.0×	99 1.0×	102 1.0×	116 1.2×	54 0.7×	17	364
Wan Chi Lau United States	4	255 0.9×	150 1.5×	69 0.7×	56 0.6×	78 1.1×	6	452
Kristen Morris United States	6	439 1.6×	88 0.9×	153 1.5×	143 1.5×	106 1.4×	11	570
Devon Gessert United States	5	261 0.9×	73 0.7×	83 0.8×	90 0.9×	102 1.4×	9	467
Randy Slemmon United States	8	408 1.5×	101 1.0×	245 2.4×	141 1.5×	91 1.2×	15	521
Claire Alderton United Kingdom	5	232 0.8×	74 0.7×	77 0.8×	104 1.1×	69 0.9×	8	347
Paola Bisceglia Italy	9	171 0.6×	76 0.7×	55 0.5×	107 1.1×	46 0.6×	15	321
Randolph D. Andrews United States	10	230 0.8×	46 0.4×	125 1.2×	99 1.0×	40 0.5×	20	479
Jennifer Bogert United States	8	206 0.7×	98 1.0×	66 0.6×	76 0.8×	30 0.4×	10	270
Diana Thyssen United States	5	291 1.0×	94 0.9×	69 0.7×	102 1.1×	92 1.2×	5	379

Countries citing papers authored by Patrick Burkett

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Burkett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Burkett

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

All Works

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4 of 4 papers shown

1.

Muralidharan, Kumar Kandadi, Kenneth G. Kowalski, Patrick Burkett, et al.. (2022). A Time‐to‐Event Exposure‐Response Model for Amyloid‐Related Imaging Abnormalities Following Administration of Aducanumab to Subjects With Early Alzheimer Disease. The Journal of Clinical Pharmacology. 62(8). 1030–1046. 3 indexed citations

2.

Salloway, Stephen, Spyros Chalkias, Frederik Barkhof, et al.. (2021). Amyloid-Related Imaging Abnormalities in 2 Phase 3 Studies Evaluating Aducanumab in Patients With Early Alzheimer Disease. JAMA Neurology. 79(1). 13–13. 411 indexed citations breakdown →

3.

Burkett, Patrick, Spyros Chalkias, Kimberly Umans, et al.. (2021). Considerations for the real‐world management of ARIA from the aducanumab phase 3 studies EMERGE and ENGAGE. Alzheimer s & Dementia. 17(S9).

4.

Castrillo‐Viguera, Carmen, Spyros Chalkias, Patrick Burkett, et al.. (2021). EMBARK: A Phase 3b, Open-Label, Single-Arm, Safety Study to Evaluate the Long-Term Safety and Efficacy of Aducanumab in Eligible Participants With Alzheimer’s Disease (2448). Neurology. 96(15_supplement). 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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