Olivia Bagley

511 total citations
24 papers, 312 citations indexed

About

Olivia Bagley is a scholar working on Genetics, Physiology and Molecular Biology. According to data from OpenAlex, Olivia Bagley has authored 24 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 8 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Olivia Bagley's work include Genetic Associations and Epidemiology (12 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Genetic and phenotypic traits in livestock (3 papers). Olivia Bagley is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Genetic and phenotypic traits in livestock (3 papers). Olivia Bagley collaborates with scholars based in United States, Denmark and Netherlands. Olivia Bagley's co-authors include Konstantin G. Arbeev, Anatoliy I. Yashin, Alexander M. Kulminski, Svetlana Ukraintseva, Yury Loika, Irina Culminskaya, Kaare Christensen, Matt Duan, Arseniy Yashkin and Jian Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS Genetics.

In The Last Decade

Olivia Bagley

22 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivia Bagley United States 10 125 96 86 63 29 24 312
Melanie Ashland United States 7 112 0.9× 152 1.6× 33 0.4× 49 0.8× 34 1.2× 11 439
Valentin Max Vetter Germany 11 103 0.8× 168 1.8× 28 0.3× 38 0.6× 43 1.5× 24 330
Kara Fitzgerald United States 7 82 0.7× 133 1.4× 34 0.4× 25 0.4× 27 0.9× 16 318
Monika Avina United States 2 79 0.6× 104 1.1× 40 0.5× 48 0.8× 33 1.1× 2 254
M. A. McCormick United States 5 82 0.7× 53 0.6× 22 0.3× 90 1.4× 14 0.5× 7 301
Susumu Nakazawa Japan 10 109 0.9× 66 0.7× 32 0.4× 100 1.6× 5 0.2× 16 290
Natassia Robinson Sweden 8 97 0.8× 90 0.9× 38 0.4× 18 0.3× 12 0.4× 16 375
W. Chen United States 9 204 1.6× 47 0.5× 49 0.6× 72 1.1× 17 0.6× 12 377
Danni A. Gadd United Kingdom 8 59 0.5× 158 1.6× 46 0.5× 11 0.2× 20 0.7× 17 266
Pía Riestra United States 16 204 1.6× 51 0.5× 45 0.5× 14 0.2× 18 0.6× 28 470

Countries citing papers authored by Olivia Bagley

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Bagley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivia Bagley

This figure shows the co-authorship network connecting the top 25 collaborators of Olivia Bagley. A scholar is included among the top collaborators of Olivia Bagley 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 Olivia Bagley. Olivia Bagley 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.
Rajendrakumar, Aravind Lathika, Konstantin G. Arbeev, Olivia Bagley, et al.. (2025). APOE4 and infectious diseases jointly contribute to brain glucose hypometabolism, a biomarker of Alzheimer’s pathology: New findings from the ADNI. PLoS ONE. 20(1). e0316808–e0316808. 1 indexed citations
2.
3.
Arbeev, Konstantin G., Olivia Bagley, Deqing Wu, et al.. (2024). Is being overweight a causal factor in better survival among the oldest old? a Mendelian randomization study. SHILAP Revista de lepidopterología. 5. 1442017–1442017.
4.
Rajendrakumar, Aravind Lathika, Konstantin G. Arbeev, Olivia Bagley, Anatoliy I. Yashin, & Svetlana Ukraintseva. (2024). The association between rs6859 in NECTIN2 gene and Alzheimer’s disease is partly mediated by pTau. Frontiers in Aging Neuroscience. 16. 1388363–1388363. 2 indexed citations
5.
Bagley, Olivia, Deqing Wu, Yury Loika, et al.. (2024). How are APOE4, changes in body weight, and longevity related? Insights from a causal mediation analysis. SHILAP Revista de lepidopterología. 5. 1359202–1359202. 2 indexed citations
6.
Rajendrakumar, Aravind Lathika, et al.. (2024). The SNP rs6859 in NECTIN2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adults. BMC Neurology. 24(1). 78–78. 6 indexed citations
7.
Arbeev, Konstantin G., et al.. (2023). A MENDELIAN RANDOMIZATION STUDY SUPPORTS CAUSAL EFFECT OF OVERWEIGHT ON LONGEVITY. Innovation in Aging. 7(Supplement_1). 904–905. 2 indexed citations
8.
Arbeev, Konstantin G., Olivia Bagley, Arseniy Yashkin, et al.. (2023). Understanding Alzheimer’s disease in the context of aging: Findings from applications of stochastic process models to the Health and Retirement Study. Mechanisms of Ageing and Development. 211. 111791–111791. 5 indexed citations
9.
Yashin, Anatoliy I., Deqing Wu, Konstantin G. Arbeev, et al.. (2021). Interplay between stress-related genes may influence Alzheimer’s disease development: The results of genetic interaction analyses of human data. Mechanisms of Ageing and Development. 196. 111477–111477. 4 indexed citations
10.
Ukraintseva, Svetlana, Matt Duan, Konstantin G. Arbeev, et al.. (2021). Interactions Between Genes From Aging Pathways May Influence Human Lifespan and Improve Animal to Human Translation. Frontiers in Cell and Developmental Biology. 9. 692020–692020. 6 indexed citations
11.
Arbeev, Konstantin G., Olivia Bagley, Svetlana Ukraintseva, et al.. (2020). Composite Measure of Physiological Dysregulation as a Predictor of Mortality: The Long Life Family Study. Frontiers in Public Health. 8. 56–56. 5 indexed citations
12.
Arbeev, Konstantin G., Olivia Bagley, Svetlana Ukraintseva, et al.. (2020). Genetics of physiological dysregulation: findings from the long life family study using joint models. Aging. 12(7). 5920–5947. 5 indexed citations
13.
Kulminski, Alexander M., Yury Loika, Jian Huang, et al.. (2019). Pleiotropic Meta-Analysis of Age-Related Phenotypes Addressing Evolutionary Uncertainty in Their Molecular Mechanisms. Frontiers in Genetics. 10. 433–433. 12 indexed citations
14.
Kulminski, Alexander M., Yury Loika, Irina Culminskaya, et al.. (2018). Independent associations of TOMM40 and APOE variants with body mass index. Aging Cell. 18(1). e12869–e12869. 31 indexed citations
15.
Yashin, Anatoliy I., Konstantin G. Arbeev, Deqing Wu, et al.. (2018). Genetics of Human Longevity From Incomplete Data: New Findings From the Long Life Family Study. The Journals of Gerontology Series A. 73(11). 1472–1481. 21 indexed citations
16.
Kulminski, Alexander M., Jian Huang, Yury Loika, et al.. (2018). Strong impact of natural-selection–free heterogeneity in genetics of age-related phenotypes. Aging. 10(3). 492–514. 19 indexed citations
17.
Arbeev, Konstantin G., Svetlana Ukraintseva, Olivia Bagley, et al.. (2018). “Physiological Dysregulation” as a Promising Measure of Robustness and Resilience in Studies of Aging and a New Indicator of Preclinical Disease. The Journals of Gerontology Series A. 74(4). 462–468. 36 indexed citations
18.
He, Liang, Irina Culminskaya, Yury Loika, et al.. (2017). Causal effects of cardiovascular risk factors on onset of major age-related diseases: A time-to-event Mendelian randomization study. Experimental Gerontology. 107. 74–86. 15 indexed citations
19.
Kulminski, Alexander M., Liang He, Irina Culminskaya, et al.. (2016). Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. PLoS Genetics. 12(11). e1006314–e1006314. 20 indexed citations
20.
He, Liang, Irina Kulminskaya, Yury Loika, et al.. (2016). Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases. Frontiers in Genetics. 7. 179–179. 33 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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