Irina Kulminskaya

591 total citations
7 papers, 467 citations indexed

About

Irina Kulminskaya is a scholar working on Genetics, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Irina Kulminskaya has authored 7 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Physiology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Irina Kulminskaya's work include Genetic Associations and Epidemiology (4 papers), Nutrition and Health in Aging (2 papers) and Obesity, Physical Activity, Diet (1 paper). Irina Kulminskaya is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Nutrition and Health in Aging (2 papers) and Obesity, Physical Activity, Diet (1 paper). Irina Kulminskaya collaborates with scholars based in United States. Irina Kulminskaya's co-authors include Alexander M. Kulminski, Svetlana Ukraintseva, Konstantin G. Arbeev, Anatoli I. Yashin, Igor Akushevich, Kenneth C. Land, Anatoliy I. Yashin, Mikhail Kovtun, Olivia Bagley and Liang He and has published in prestigious journals such as Journal of the American Geriatrics Society, Alzheimer s & Dementia and Frontiers in Genetics.

In The Last Decade

Irina Kulminskaya

6 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irina Kulminskaya United States 5 314 259 173 55 55 7 467
Emily H Gordon Australia 12 358 1.1× 253 1.0× 192 1.1× 47 0.9× 90 1.6× 33 526
Marc Rothman United States 5 282 0.9× 218 0.8× 146 0.8× 56 1.0× 64 1.2× 6 460
Luis Romero Spain 8 216 0.7× 186 0.7× 94 0.5× 18 0.3× 48 0.9× 14 327
Fernando M. Runzer‐Colmenares Peru 12 173 0.6× 172 0.7× 60 0.3× 37 0.7× 30 0.5× 66 389
Meryem Merve Ören Türkiye 14 265 0.8× 402 1.6× 31 0.2× 96 1.7× 32 0.6× 61 628
Luigi Ferrucci United States 6 153 0.5× 225 0.9× 33 0.2× 39 0.7× 73 1.3× 12 539
Lisa Nussbaum United States 4 109 0.3× 103 0.4× 65 0.4× 29 0.5× 29 0.5× 11 288
Saad M. Alsaad Saudi Arabia 8 140 0.4× 111 0.4× 75 0.4× 22 0.4× 43 0.8× 33 294
Bonnie He Canada 7 159 0.5× 131 0.5× 80 0.5× 19 0.3× 47 0.9× 21 294
Wendy Camelo Castillo United States 8 61 0.2× 31 0.1× 88 0.5× 102 1.9× 41 0.7× 21 411

Countries citing papers authored by Irina Kulminskaya

Since Specialization
Citations

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

Fields of papers citing papers by Irina Kulminskaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Kulminskaya

This figure shows the co-authorship network connecting the top 25 collaborators of Irina Kulminskaya. A scholar is included among the top collaborators of Irina Kulminskaya 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 Irina Kulminskaya. Irina Kulminskaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 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.
Yashin, Anatoliy I., Konstantin G. Arbeev, Deqing Wu, et al.. (2016). How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data. North American Actuarial Journal. 20(3). 201–232. 9 indexed citations
3.
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
4.
Yashin, Anatoliy I., Liubov Arbeeva, Konstantin G. Arbeev, et al.. (2016). Pure and Confounded Effects of Causal SNPs on Longevity: Insights for Proper Interpretation of Research Findings in GWAS of Populations with Different Genetic Structures. Frontiers in Genetics. 7. 188–188. 4 indexed citations
5.
Kulminski, Alexander M., Irina Kulminskaya, Svetlana Ukraintseva, Kenneth C. Land, & Anatoli I. Yashin. (2008). An Inverse Association Between Self-Reported Arthritis and Mortality in the Elderly: Findings from the National Long-Term Care Survey. Rejuvenation Research. 11(1). 251–257. 3 indexed citations
6.
Kulminski, Alexander M., et al.. (2008). Cumulative Deficits Better Characterize Susceptibility to Death in Elderly People than Phenotypic Frailty: Lessons from the Cardiovascular Health Study. Journal of the American Geriatrics Society. 56(5). 898–903. 358 indexed citations
7.
Kulminski, Alexander M., Konstantin G. Arbeev, Irina Kulminskaya, et al.. (2007). Body Mass Index and Nine‐Year Mortality in Disabled and Nondisabled Older U.S. Individuals. Journal of the American Geriatrics Society. 56(1). 105–110. 60 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

Rankless by CCL
2026