Gary W. Beecham

24.4k total citations · 1 hit paper
89 papers, 2.5k citations indexed

About

Gary W. Beecham is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Gary W. Beecham has authored 89 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 38 papers in Genetics and 31 papers in Physiology. Recurrent topics in Gary W. Beecham's work include Alzheimer's disease research and treatments (30 papers), Genetic Associations and Epidemiology (29 papers) and Bioinformatics and Genomic Networks (15 papers). Gary W. Beecham is often cited by papers focused on Alzheimer's disease research and treatments (30 papers), Genetic Associations and Epidemiology (29 papers) and Bioinformatics and Genomic Networks (15 papers). Gary W. Beecham collaborates with scholars based in United States, Puerto Rico and Netherlands. Gary W. Beecham's co-authors include Eden R. Martin, Margaret A. Pericak‐Vance, Jonathan L. Haines, Jeffery M. Vance, Christiane Reitz, John R. Gilbert, Ekaterina Rogaeva, William K. Scott, Liyong Wang and Stephan Züchner and has published in prestigious journals such as Science, PLoS ONE and Neurology.

In The Last Decade

Gary W. Beecham

82 papers receiving 2.4k 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.

Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior

2019 213 citations Andrea Ganna, Karin J. H. Verweij et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary W. Beecham United States	24	994	714	581	565	418	89	2.5k
Lucio Tremolizzo Italy	26	967 1.0×	434 0.6×	523 0.9×	362 0.6×	551 1.3×	134	2.6k
Amanda Myers United States	25	1.1k 1.2×	1.0k 1.5×	366 0.6×	514 0.9×	597 1.4×	56	3.0k
John Budde United States	20	543 0.5×	462 0.6×	262 0.5×	295 0.5×	261 0.6×	38	1.6k
Daniah Trabzuni United Kingdom	26	1.4k 1.5×	464 0.6×	469 0.8×	724 1.3×	628 1.5×	40	2.8k
M. Axel Wollmer Germany	25	954 1.0×	1.3k 1.8×	408 0.7×	307 0.5×	474 1.1×	56	2.9k
Aigang Lu United States	26	1.9k 1.9×	458 0.6×	918 1.6×	242 0.4×	493 1.2×	42	4.0k
Ashley R. Winslow United Kingdom	15	1.7k 1.7×	846 1.2×	1.1k 1.9×	318 0.6×	484 1.2×	19	4.1k
Stephen Newhouse United Kingdom	29	955 1.0×	676 0.9×	265 0.5×	435 0.8×	135 0.3×	57	2.5k
Mina Ryten United Kingdom	37	2.2k 2.2×	749 1.0×	921 1.6×	741 1.3×	908 2.2×	80	4.5k
Guomei Tang United States	20	1.2k 1.2×	447 0.6×	415 0.7×	519 0.9×	784 1.9×	43	2.9k

Countries citing papers authored by Gary W. Beecham

Since Specialization

Citations

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

Fields of papers citing papers by Gary W. Beecham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary W. Beecham

This figure shows the co-authorship network connecting the top 25 collaborators of Gary W. Beecham. A scholar is included among the top collaborators of Gary W. Beecham 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 Gary W. Beecham. Gary W. Beecham 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

Cholerton, Brenna, Gary W. Beecham, Christiane Reitz, et al.. (2025). Neuropsychiatric symptom subtypes and dementia‐associated neuropathologic change. Alzheimer s & Dementia. 21(9). e70622–e70622.

Rajabli, Farid, Azizi Seixas, Larry D. Adams, et al.. (2024). African Ancestry Individuals with Higher Educational Attainment Are Resilient to Alzheimer’s Disease Measured by pTau181. Journal of Alzheimer s Disease. 98(1). 221–229.

Mena, Pedro, Masood Manoochehri, Alyssa N. De Vito, et al.. (2024). Disentangling the genetic underpinnings of neuropsychiatric symptoms in Alzheimer's disease in the Alzheimer's Disease Sequencing Project: Study design and methodology. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(3). e70000–e70000. 2 indexed citations

Naj, Adam C., Penelope Benchek, Logan Dumitrescu, et al.. (2023). A haptoglobin (HP) structural variant alters the effect of APOE alleles on Alzheimer's disease. Alzheimer s & Dementia. 19(11). 4886–4895. 5 indexed citations

Ayodele, Temitope, María Victoria Fernández, Joseph Bradley, et al.. (2023). The Early‐Onset Alzheimer's Disease Whole‐Genome Sequencing Project: Study design and methodology. Alzheimer s & Dementia. 19(9). 4187–4195. 2 indexed citations

Martin, Eden R., Gerald D. Schellenberg, Margaret A. Pericak‐Vance, et al.. (2023). GWAS identifies genetic factors associated with severity of cerebral amyloid angiopathy pathology. Alzheimer s & Dementia. 19(S12). 1 indexed citations

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

Zietsch, Brendan P., Morgan J. Sidari, Abdel Abdellaoui, et al.. (2021). Genomic evidence consistent with antagonistic pleiotropy may help explain the evolutionary maintenance of same-sex sexual behaviour in humans. Nature Human Behaviour. 5(9). 1251–1258. 26 indexed citations

Ayodele, Temitope, et al.. (2021). Early-Onset Alzheimer’s Disease: What Is Missing in Research?. Current Neurology and Neuroscience Reports. 21(2). 4–4. 116 indexed citations

10.

Ganna, Andrea, Karin J. H. Verweij, Michel G. Nivard, et al.. (2019). Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior. Science. 365(6456). 213 indexed citations breakdown →

11.

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

12.

Mez, Jesse, Shubhabrata Mukherjee, Timothy A. Thornton, et al.. (2016). The executive prominent/memory prominent spectrum in Alzheimer's disease is highly heritable. Neurobiology of Aging. 41. 115–121. 8 indexed citations

13.

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

14.

H., Ki, Gary W. Beecham, Frank Baas, et al.. (2014). Haplotype-specific modulation of a SOX10/CREB response element at the Charcot–Marie–Tooth disease type 4C locus SH3TC2. Human Molecular Genetics. 23(19). 5171–5187. 20 indexed citations

15.

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

16.

Hedges, Dale J., Kara L. Hamilton‐Nelson, Stephanie Sacharow, et al.. (2012). Evidence of novel fine-scale structural variation at autism spectrum disorder candidate loci. Molecular Autism. 3(1). 2–2. 29 indexed citations

17.

Edwards, Yvonne J. K., Gary W. Beecham, William K. Scott, et al.. (2011). Identifying Consensus Disease Pathways in Parkinson's Disease Using an Integrative Systems Biology Approach. PLoS ONE. 6(2). e16917–e16917. 60 indexed citations

18.

Beecham, Gary W., Nathalie Schnetz‐Boutaud, Adam C. Naj, et al.. (2010). O2‐07‐04: Copy number polymorphism at chromosome 19 locus associated with late‐onset Alzheimer's disease. Alzheimer s & Dementia. 6(4S_Part_4). 1 indexed citations

19.

Edwards, Todd L., William K. Scott, Amber Burt, et al.. (2010). Genome‐Wide Association Study Confirms SNPs in SNCA and the MAPT Region as Common Risk Factors for Parkinson Disease. Annals of Human Genetics. 74(2). 97–109. 370 indexed citations

20.

Beecham, Gary W., Adam C. Naj, John R. Gilbert, et al.. (2010). PCDH11X variation is not associated with late-onset Alzheimer disease susceptibility. Psychiatric Genetics. 20(6). 321–324. 19 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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