Brian A. Gordon

16.3k total citations · 5 hit papers
159 papers, 5.2k citations indexed

About

Brian A. Gordon is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Brian A. Gordon has authored 159 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Psychiatry and Mental health, 71 papers in Physiology and 62 papers in Cognitive Neuroscience. Recurrent topics in Brian A. Gordon's work include Dementia and Cognitive Impairment Research (94 papers), Alzheimer's disease research and treatments (69 papers) and Functional Brain Connectivity Studies (52 papers). Brian A. Gordon is often cited by papers focused on Dementia and Cognitive Impairment Research (94 papers), Alzheimer's disease research and treatments (69 papers) and Functional Brain Connectivity Studies (52 papers). Brian A. Gordon collaborates with scholars based in United States, Germany and United Kingdom. Brian A. Gordon's co-authors include Tammie L.S. Benzinger, John C. Morris, Anne M. Fagan, David M. Holtzman, Yi Su, Chengjie Xiong, Suzanne E. Schindler, Beau M. Ances, Monica Fabiani and Gabriele Gratton and has published in prestigious journals such as Nature Medicine, Neuron and NeuroImage.

In The Last Decade

Brian A. Gordon

134 papers receiving 5.1k citations

Hit Papers

5 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.

High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis

2019 551 citations Suzanne E. Schindler, Brian A. Gordon et al. profile →
Tau and Aβ imaging, CSF measures, and cognition in Alzheimer’s disease

2016 535 citations Matthew R. Brier, Brian A. Gordon et al. profile →
Tau Kinetics in Neurons and the Human Central Nervous System

2018 397 citations Brian A. Gordon, Kristopher M. Kirmess et al. profile →
Disease staging of Alzheimer’s disease using a CSF-based biomarker model

2024 49 citations Charles D. Chen, Andrew J. Aschenbrenner et al. profile →
Plasma MTBR-tau243 biomarker identifies tau tangle pathology in Alzheimer’s disease

2025 27 citations Brian A. Gordon, Tammie L.S. Benzinger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian A. Gordon United States	33	2.6k	2.4k	1.6k	785	780	159	5.2k
Jacob W. Vogel United States	29	2.4k 0.9×	2.1k 0.9×	1.9k 1.2×	787 1.0×	618 0.8×	81	4.4k
Kerryn E. Pike Australia	24	3.0k 1.1×	3.2k 1.4×	1.6k 1.0×	800 1.0×	710 0.9×	82	5.1k
Greg Savage Australia	35	2.2k 0.9×	3.0k 1.3×	2.1k 1.4×	741 0.9×	710 0.9×	137	5.7k
Timo Grimmer Germany	42	2.6k 1.0×	2.9k 1.2×	1.9k 1.2×	1.2k 1.6×	765 1.0×	158	5.9k
Johannes Pantel Germany	44	2.0k 0.7×	2.0k 0.9×	1.5k 0.9×	823 1.0×	638 0.8×	219	5.4k
Linda M. Ercoli United States	35	2.1k 0.8×	2.0k 0.9×	1.1k 0.7×	703 0.9×	541 0.7×	97	5.1k
Juan Domingo Gispert Spain	40	1.5k 0.5×	1.8k 0.8×	1.4k 0.9×	1.1k 1.4×	732 0.9×	257	5.5k
Merja Hallikainen Finland	38	2.7k 1.0×	3.3k 1.4×	1.5k 0.9×	816 1.0×	1.0k 1.3×	79	6.2k
Susan Landau United States	31	2.0k 0.8×	2.1k 0.9×	1.7k 1.1×	808 1.0×	515 0.7×	68	4.2k
Samuel N. Lockhart United States	29	2.6k 1.0×	2.2k 0.9×	1.4k 0.9×	947 1.2×	733 0.9×	113	4.4k

Countries citing papers authored by Brian A. Gordon

Since Specialization

Citations

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

Fields of papers citing papers by Brian A. Gordon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian A. Gordon. 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 Brian A. Gordon. The network helps show where Brian A. Gordon may publish in the future.

Co-authorship network of co-authors of Brian A. Gordon

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Brennan, Stephen O., Brian A. Gordon, Craig S. Anderson, et al.. (2025). Quality of Evidence in European Stroke Organisation and American Heart Association Stroke Guidelines. Stroke. 57(2). 381–390.

Lussier, Firoza Z, Guilherme Povala, Debra Fine, et al.. (2024). Longitudinal multicenter head‐to‐head harmonization of tau‐PET tracers: an overview of the HEAD study cohort. Alzheimer s & Dementia. 20(S9). 1 indexed citations

Povala, Guilherme, Bruna Bellaver, Firoza Z Lussier, et al.. (2024). Universal tau PET scale (Uniτ) – The HEAD Study. Alzheimer s & Dementia. 20(S2). 1 indexed citations

Llibre‐Guerra, Jorge J., Ruijin Lu, Alan E. Renton, et al.. (2024). Cognitive reserve influences symptom onset and longitudinal decline in Dominantly Inherited Alzheimer's Disease. Alzheimer s & Dementia. 20(S3). e086295–e086295.

Povala, Guilherme, Bruna Bellaver, Firoza Z Lussier, et al.. (2024). Creating Universal Tau PET Scale (Uniτ) Parametric Images – The HEAD Study. Alzheimer s & Dementia. 20(S9). 1 indexed citations

Earnest, Tom, et al.. (2024). Evaluation of ComBat Harmonization for Reducing Across‐Tracer Differences in Regional Amyloid PET Analyses. Human Brain Mapping. 45(16). e70068–e70068. 3 indexed citations

Brier, Matthew R., Suzanne E. Schindler, Amber Salter, et al.. (2024). Unexpected Low Rate of Amyloid‐β Pathology in Multiple Sclerosis Patients. Annals of Neurology. 96(3). 453–459. 5 indexed citations

McCullough, Austin, Brian A. Gordon, Charles D. Chen, et al.. (2023). Evaluating Regional Importance for Tau Spatial Spread in Predicting Cognitive Impairment with Machine Learning. Alzheimer s & Dementia. 19(S24). 1 indexed citations

Chen, Gengsheng, Brian A. Gordon, Qīng Wáng, et al.. (2023). Baseline and Longitudinal Changes in Lateral Ventricle Volume Predict Cognitive Decline. Alzheimer s & Dementia. 19(S14). 1 indexed citations

10.

Keefe, Sarah, Nicole S. McKay, Pamela LaMontagne, et al.. (2023). Containerizing neuroimaging workflows for scalable and reproducible analyses. Alzheimer s & Dementia. 19(S10). 1 indexed citations

11.

Millar, Peter R, Brian A. Gordon, Patrick H. Luckett, et al.. (2023). Multimodal brain age estimates relate to Alzheimer disease biomarkers and cognition in early stages: a cross-sectional observational study. eLife. 12. 31 indexed citations

12.

O’Connor, Antoinette, David M. Cash, Teresa Poole, et al.. (2023). Tau accumulation in autosomal dominant Alzheimer’s disease: a longitudinal [18F]flortaucipir study. Alzheimer s Research & Therapy. 15(1). 6 indexed citations

13.

Long, Justin M., Dean W. Coble, Chengjie Xiong, et al.. (2022). Preclinical Alzheimer’s disease biomarkers accurately predict cognitive and neuropathological outcomes. Brain. 145(12). 4506–4518. 23 indexed citations

14.

Levitis, Elizabeth, Thomas Funck, Vladimir Hachinski, et al.. (2022). Differentiating amyloid beta spread in autosomal dominant and sporadic Alzheimer’s disease. Brain Communications. 4(3). fcac085–fcac085. 7 indexed citations

15.

Wisch, Julie K., Omar H. Butt, Brian A. Gordon, et al.. (2022). Proteomic clusters underlie heterogeneity in preclinical Alzheimer’s disease progression. Brain. 146(7). 2944–2956. 5 indexed citations

16.

LaMontagne, Pamela, Matthew F. Glasser, Randall J. Bateman, et al.. (2021). Regional age-related atrophy after screening for preclinical alzheimer disease. Neurobiology of Aging. 109. 43–51. 9 indexed citations

17.

Mill, Ravi D., Brian A. Gordon, David A. Balota, & Michael W. Cole. (2020). Predicting dysfunctional age-related task activations from resting-state network alterations. NeuroImage. 221. 117167–117167. 25 indexed citations

18.

Millar, Peter R, Steven E. Petersen, Beau M. Ances, et al.. (2020). Evaluating the Sensitivity of Resting-State BOLD Variability to Age and Cognition after Controlling for Motion and Cardiovascular Influences: A Network-Based Approach. Cerebral Cortex. 30(11). 5686–5701. 21 indexed citations

19.

Millar, Peter R, Beau M. Ances, Brian A. Gordon, et al.. (2020). Evaluating resting-state BOLD variability in relation to biomarkers of preclinical Alzheimer's disease. Neurobiology of Aging. 96. 233–245. 18 indexed citations

20.

Yu, Ning, et al.. (2020). Corpus Development for Studying Online Disinformation Campaign: A Narrative + Stance Approach. 41–47.

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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