Brian W. Kunkle

15.6k total citations
46 papers, 632 citations indexed

About

Brian W. Kunkle is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Brian W. Kunkle has authored 46 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 24 papers in Genetics and 11 papers in Physiology. Recurrent topics in Brian W. Kunkle's work include Genetic Associations and Epidemiology (17 papers), Epigenetics and DNA Methylation (12 papers) and Alzheimer's disease research and treatments (11 papers). Brian W. Kunkle is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Epigenetics and DNA Methylation (12 papers) and Alzheimer's disease research and treatments (11 papers). Brian W. Kunkle collaborates with scholars based in United States, Nigeria and United Kingdom. Brian W. Kunkle's co-authors include Adam C. Naj, Deodutta Roy, Changwon Yoo, Eden R. Martin, Margaret A. Pericak‐Vance, Shubhabrata Mukherjee, Regina M. Carney, Amanda Kuzma, Richard Mayeux and Kara L. Hamilton‐Nelson and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Brian W. Kunkle

38 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian W. Kunkle United States 11 393 261 174 42 41 46 632
Zihuai He United States 15 348 0.9× 284 1.1× 90 0.5× 59 1.4× 28 0.7× 66 714
Xingbin Wang United States 17 235 0.6× 203 0.8× 167 1.0× 67 1.6× 15 0.4× 32 623
Lars Schlotawa Germany 13 215 0.5× 110 0.4× 260 1.5× 35 0.8× 45 1.1× 29 621
Chloe Robins United States 8 228 0.6× 134 0.5× 82 0.5× 51 1.2× 20 0.5× 12 396
Sandra Barral United States 8 185 0.5× 102 0.4× 208 1.2× 33 0.8× 26 0.6× 13 399
Roger Willian de Lábio Brazil 12 238 0.6× 90 0.3× 131 0.8× 35 0.8× 14 0.3× 29 430
Joseph H. Rothstein United States 10 166 0.4× 198 0.8× 124 0.7× 25 0.6× 35 0.9× 12 491
Lauren Broestl United States 9 164 0.4× 154 0.6× 97 0.6× 24 0.6× 17 0.4× 11 541
Leah Peleg Israel 14 270 0.7× 181 0.7× 236 1.4× 17 0.4× 29 0.7× 55 697
Richard Abraham United Kingdom 8 200 0.5× 112 0.4× 213 1.2× 44 1.0× 31 0.8× 12 409

Countries citing papers authored by Brian W. Kunkle

Since Specialization
Citations

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

Fields of papers citing papers by Brian W. Kunkle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian W. Kunkle

This figure shows the co-authorship network connecting the top 25 collaborators of Brian W. Kunkle. A scholar is included among the top collaborators of Brian W. Kunkle 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 W. Kunkle. Brian W. Kunkle 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.
Tosto, Giuseppe, Farid Rajabli, Rufus Akinyemi, et al.. (2025). Country-level incidence of Alzheimer disease and related dementias is associated with increased omega-6-PUFA consumption. Communications Medicine. 5(1). 326–326.
2.
Zhang, Wei, Juan I. Young, Lissette Gomez, et al.. (2025). Blood DNA methylation signature for incident dementia: Evidence from longitudinal cohorts. Alzheimer s & Dementia. 21(3). e14496–e14496. 3 indexed citations
3.
4.
Wheeler, Nicholas R., Penelope Benchek, Christiane Reitz, et al.. (2024). Preliminary Insights from a Multi‐Ancestry TWAS in Alzheimer’s Disease in African and European Populations. Alzheimer s & Dementia. 20(S1). e092593–e092593. 1 indexed citations
5.
Kunkle, Brian W., John Farrell, Congcong Zhu, et al.. (2024). Multi‐ancestry whole genome sequencing analysis of 36,361 individuals from the Alzheimer’s Disease Sequencing Project (ADSP). Alzheimer s & Dementia. 20(S1). e092063–e092063. 1 indexed citations
6.
Wang, Lily, David Lukacsovich, Deirdre O’Shea, et al.. (2024). MIAMI‐AD (Methylation in Aging and Methylation in AD): an integrative knowledgebase that facilitates explorations of DNA methylation across sex, aging, and Alzheimer’s disease. Alzheimer s & Dementia. 20(S1). e091111–e091111. 1 indexed citations
7.
Zhang, Yalun, Brian W. Kunkle, Michael L. Cuccaro, et al.. (2024). Investigating the role of SORL1 in mediating AD‐specific endolysosomal phenotypes in neurons and microglia. Alzheimer s & Dementia. 20(S1). e092619–e092619.
8.
Wang, Lily, Juan I. Young, Lissette Gomez, et al.. (2023). Distinct CSF biomarker‐associated DNA methylation in Alzheimer’s disease and cognitively normal subjects. Alzheimer s & Dementia. 19(S15). 2 indexed citations
9.
Rajabli, Farid & Brian W. Kunkle. (2023). Strategies in Aggregation Tests for Rare Variants. Current Protocols. 3(11). e931–e931. 1 indexed citations
10.
Hu, Bowen, Burcu F. Darst, Shubhabrata Mukherjee, et al.. (2023). Biobank-wide association scan identifies risk factors for late-onset Alzheimer’s disease and endophenotypes. eLife. 12.
11.
Nuytemans, Karen, Farid Rajabli, Larry D. Adams, et al.. (2023). Genetic analyses in multiplex families confirms chromosome 5q35 as a risk locus for Alzheimer’s Disease in individuals of African Ancestry. Neurobiology of Aging. 133. 125–133. 1 indexed citations
12.
Gomez, Lissette, et al.. (2023). X‐chromosome wide association study for Alzheimer’s disease. Alzheimer s & Dementia. 19(S12).
13.
Jin, Bowen, John A. Capra, Penelope Benchek, et al.. (2022). An association test of the spatial distribution of rare missense variants within protein structures identifies Alzheimer's disease–related patterns. Genome Research. 32(4). 778–790. 3 indexed citations
14.
Zhang, Lanyu, Tiago C. Silva, Juan I. Young, et al.. (2020). Epigenome-wide meta-analysis of DNA methylation differences in prefrontal cortex implicates the immune processes in Alzheimer’s disease. Nature Communications. 11(1). 6114–6114. 87 indexed citations
15.
Kunkle, Brian W., Badri N. Vardarajan, Adam C. Naj, et al.. (2017). Early-Onset Alzheimer Disease and Candidate Risk Genes Involved in Endolysosomal Transport. JAMA Neurology. 74(9). 1113–1113. 39 indexed citations
16.
17.
Reitz, Christiane, Brian W. Kunkle, Badri N. Vardarajan, et al.. (2014). Whole-Exome Sequencing Of Hispanic Early-Onset Alzheimer Disease Families Identifies Rare Variants In Multiple Alzheimer-Related Genes (S28.003). Neurology. 82(10_supplement). 1 indexed citations
18.
Naj, Adam C., Carlos Cruchaga, Brian W. Kunkle, et al.. (2014). P1‐045: EXOME ARRAY ANALYSIS IDENTIFIES NOVEL RISK VARIANTS FOR ALZHEIMER'S DISEASE WITH ONSET BEFORE 65 YEARS. Alzheimer s & Dementia. 10(4S_Part_8). 1 indexed citations
19.
Kohli, Martin, Brian W. Kunkle, Adam C. Naj, et al.. (2013). O3–01–04: The identification of rare variants in late‐onset Alzheimer's disease using extended families. Alzheimer s & Dementia. 9(4S_Part_13). 1 indexed citations
20.
Naj, Adam C., Carlos Cruchaga, Brian W. Kunkle, et al.. (2013). O3–01–02: Exome array analysis identifies novel risk variants for non‐familial early‐onset Alzheimer's disease. Alzheimer s & Dementia. 9(4S_Part_13). 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zihuai He Breakdown of academic impact, for papers by Xingbin Wang Breakdown of academic impact, for papers by Lars Schlotawa Breakdown of academic impact, for papers by Chloe Robins Breakdown of academic impact, for papers by Sandra Barral Breakdown of academic impact, for papers by Roger Willian de Lábio Breakdown of academic impact, for papers by Joseph H. Rothstein Breakdown of academic impact, for papers by Lauren Broestl Breakdown of academic impact, for papers by Leah Peleg Breakdown of academic impact, for papers by Richard Abraham
Rankless by CCL
2026