Gary W. Beecham

24.9k citations
92 papers · 2.5k · 1 hit paper · h-index 24

Impact in

Papers in

    • Genetic Associations and Epidemiology 29
    • Bioinformatics and Genomic Networks 13
    • Epigenetics and DNA Methylation 6

Gary W. Beecham

83 papers receiving 2.5k citations

Gary W. Beecham's Hit Papers

Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior 2019 · 219 citations
2190+2+4Years since publication50100150200

Peers

Gary W. Beecham
Comparison fields: 5 of 141
  • Neurology 534
  • Neurology 268
  • Biological Psychiatry 77
  • Physiology 623
  • Cellular and Molecular Neuroscience 380
Replace Jennifer S. Yokoyama with:
Jennifer S. Yokoyama United States
Daniah Trabzuni United Kingdom
Ornit Chiba‐Falek United States
Pascual Sánchez‐Juan Spain
Guomei Tang United States
John Budde United States
Sarah Bertelsen United States
Shuji Iritani Japan
Jonathan L. Haines United States
Russell L. Margolis United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Gary W. Beecham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gary W. Beecham Line = papers co-authored together Gary W. Beecham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010372
2
Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior
Hit paper breakdown →
2019219
3 2009194
4 2021122
5 2010115
6 2020115
7 201289
8 201484
9 201183
10 201267
11 201462
12 201561
13 201161
14 201160
15 201360
16 201949
17 201349
18 201739
19 200935
20 201833

About Gary W. Beecham

Gary W. Beecham is a scholar working on Genetics, Molecular Biology, Physiology, Neurology and Psychiatry and Mental health, having authored 92 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (29 papers), Alzheimer's disease research and treatments (22 papers), Bioinformatics and Genomic Networks (13 papers), Dementia and Cognitive Impairment Research (9 papers), Epigenetics and DNA Methylation (6 papers), Folate and B Vitamins Research (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Neurological diseases and metabolism (4 papers). The work is most often cited by research in Neurology (534 citations), Neurology (268 citations), Biological Psychiatry (77 citations), Physiology (623 citations) and Cellular and Molecular Neuroscience (380 citations). Gary W. Beecham has collaborated with scholars based in United States, United Kingdom and Puerto Rico. Frequent 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. Their work appears in journals such as Alzheimer s & Dementia, Neurology Genetics, PLoS ONE, Neurobiology of Aging and Annals of Human Genetics.

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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