Yury Loika

567 total citations
31 papers, 353 citations indexed

About

Yury Loika is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Yury Loika has authored 31 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 12 papers in Molecular Biology and 11 papers in Physiology. Recurrent topics in Yury Loika's work include Genetic Associations and Epidemiology (23 papers), Bioinformatics and Genomic Networks (10 papers) and Alzheimer's disease research and treatments (8 papers). Yury Loika is often cited by papers focused on Genetic Associations and Epidemiology (23 papers), Bioinformatics and Genomic Networks (10 papers) and Alzheimer's disease research and treatments (8 papers). Yury Loika collaborates with scholars based in United States and Denmark. Yury Loika's co-authors include Alexander M. Kulminski, Irina Culminskaya, Liang He, Konstantin G. Arbeev, Anatoliy I. Yashin, Olivia Bagley, Svetlana Ukraintseva, Jian Huang, Matt Duan and Alireza Nazarian and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yury Loika

28 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yury Loika United States 13 165 136 110 36 36 31 353
Eleonora Porcu Switzerland 12 237 1.4× 164 1.2× 38 0.3× 36 1.0× 22 0.6× 16 475
Sodbo Sharapov Russia 11 105 0.6× 164 1.2× 65 0.6× 12 0.3× 48 1.3× 21 429
Yun Freudenberg‐Hua United States 10 126 0.8× 175 1.3× 61 0.6× 15 0.4× 25 0.7× 19 363
Marie C. Sadler Switzerland 12 135 0.8× 188 1.4× 55 0.5× 16 0.4× 7 0.2× 20 372
Grace Jang United States 10 125 0.8× 96 0.7× 66 0.6× 125 3.5× 42 1.2× 11 402
Daniel S. Lupu United States 11 48 0.3× 121 0.9× 91 0.8× 22 0.6× 12 0.3× 17 378
Danni A. Gadd United Kingdom 8 46 0.3× 158 1.2× 59 0.5× 8 0.2× 20 0.6× 17 266
Anne Turner Australia 9 87 0.5× 147 1.1× 113 1.0× 9 0.3× 79 2.2× 10 404
Yu Qian China 11 69 0.4× 48 0.4× 44 0.4× 14 0.4× 20 0.6× 33 297
Slavina B. Goleva United States 9 102 0.6× 83 0.6× 27 0.2× 53 1.5× 78 2.2× 18 359

Countries citing papers authored by Yury Loika

Since Specialization
Citations

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

Fields of papers citing papers by Yury Loika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yury Loika

This figure shows the co-authorship network connecting the top 25 collaborators of Yury Loika. A scholar is included among the top collaborators of Yury Loika 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 Yury Loika. Yury Loika 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.
Kulminski, Alexander M., et al.. (2024). Extensive antagonistic genetic underpinnings of sex disparities in Alzheimer’s disease and hypertension. Alzheimer s & Dementia. 20(S1). e091324–e091324.
2.
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
3.
Loika, Yury, Fan Feng, Eric Stallard, et al.. (2023). Exogenous exposures shape genetic predisposition to lipids, Alzheimer’s, and coronary heart disease in the MLXIPL gene locus. Aging. 15(9). 3249–3272. 2 indexed citations
4.
5.
He, Liang, Yury Loika, & Alexander M. Kulminski. (2022). Allele-specific analysis reveals exon- and cell-type-specific regulatory effects of Alzheimer’s disease-associated genetic variants. Translational Psychiatry. 12(1). 163–163. 12 indexed citations
6.
Kulminski, Alexander M., et al.. (2021). Pleiotropic predisposition to Alzheimer’s disease and educational attainment: insights from the summary statistics analysis. GeroScience. 44(1). 265–280. 13 indexed citations
7.
Loika, Yury, et al.. (2021). Mediation of the APOE associations with Alzheimer’s and coronary heart diseases through body mass index and lipids. GeroScience. 44(2). 1141–1156. 10 indexed citations
8.
He, Liang, Yury Loika, Yongjin Park, et al.. (2021). Exome-wide age-of-onset analysis reveals exonic variants in ERN1 and SPPL2C associated with Alzheimer’s disease. Translational Psychiatry. 11(1). 146–146. 21 indexed citations
9.
Loika, Yury, Irina Irincheeva, Irina Culminskaya, Alireza Nazarian, & Alexander M. Kulminski. (2020). Polygenic risk scores: pleiotropy and the effect of environment. GeroScience. 42(6). 1635–1647. 4 indexed citations
10.
Kulminski, Alexander M., et al.. (2020). Haplotype architecture of the Alzheimer's risk in the APOE region via co‐skewness. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 12(1). e12129–e12129. 12 indexed citations
11.
Kulminski, Alexander M., Stanislav A. Kolpakov, Yury Loika, et al.. (2019). Polygenic risk score for disability and insights into disability-related molecular mechanisms. GeroScience. 41(6). 881–893. 1 indexed citations
12.
Kulminski, Alexander M., Yury Loika, Alireza Nazarian, et al.. (2019). APOE region molecular signatures of Alzheimer's disease across races/ethnicities. Neurobiology of Aging. 87. 141.e1–141.e8. 20 indexed citations
13.
Kulminski, Alexander M., Yury Loika, Alireza Nazarian, & Irina Culminskaya. (2019). Quantitative and Qualitative Role of Antagonistic Heterogeneity in Genetics of Blood Lipids. The Journals of Gerontology Series A. 75(10). 1811–1819. 10 indexed citations
14.
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
15.
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
16.
Kulminski, Alexander M., Amisha V. Barochia, Yury Loika, et al.. (2018). The APOE ε4 allele is associated with a reduction in FEV1/FVC in women: A cross-sectional analysis of the Long Life Family Study. PLoS ONE. 13(11). e0206873–e0206873. 13 indexed citations
17.
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
18.
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
19.
Kulminski, Alexander M., Yury Loika, Irina Culminskaya, et al.. (2016). Explicating heterogeneity of complex traits has strong potential for improving GWAS efficiency. Scientific Reports. 6(1). 35390–35390. 13 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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