Inga Prokopenko

63.9k total citations
55 papers, 1.7k citations indexed

About

Inga Prokopenko is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Inga Prokopenko has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 20 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Inga Prokopenko's work include Genetic Associations and Epidemiology (22 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Inga Prokopenko is often cited by papers focused on Genetic Associations and Epidemiology (22 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Inga Prokopenko collaborates with scholars based in United Kingdom, France and Russia. Inga Prokopenko's co-authors include Mark I. McCarthy, Cecilia M. Lindgren, Lefkos Middleton, Federica Tozzi, Pierandrea Muglia, Matthew M. Heeney, Serena Sanna, Claudia Langenberg, Sally L. Ricketts and Christian Gieger and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Inga Prokopenko

51 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inga Prokopenko United Kingdom 17 663 611 246 204 182 55 1.7k
Nina Mononen Finland 30 954 1.4× 501 0.8× 381 1.5× 198 1.0× 248 1.4× 88 2.4k
Rona J. Strawbridge Sweden 24 495 0.7× 354 0.6× 125 0.5× 313 1.5× 190 1.0× 83 2.0k
Craig Hyde United States 18 548 0.8× 768 1.3× 325 1.3× 259 1.3× 515 2.8× 38 2.3k
Séverine Trabado France 21 424 0.6× 275 0.5× 429 1.7× 123 0.6× 167 0.9× 70 1.4k
Kijoung Song United States 14 377 0.6× 336 0.5× 159 0.6× 348 1.7× 116 0.6× 23 1.7k
Riikka Rontu Finland 25 300 0.5× 280 0.5× 261 1.1× 191 0.9× 154 0.8× 62 1.7k
Thomas Illig Germany 14 466 0.7× 695 1.1× 127 0.5× 183 0.9× 117 0.6× 20 1.4k
Matthew B. Lanktree Canada 26 687 1.0× 826 1.4× 174 0.7× 121 0.6× 295 1.6× 74 1.9k
Richard Sherva United States 26 913 1.4× 648 1.1× 122 0.5× 409 2.0× 79 0.4× 56 2.4k
Stephanie J. Murphy United States 31 656 1.0× 626 1.0× 545 2.2× 198 1.0× 76 0.4× 77 2.9k

Countries citing papers authored by Inga Prokopenko

Since Specialization
Citations

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

Fields of papers citing papers by Inga Prokopenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inga Prokopenko

This figure shows the co-authorship network connecting the top 25 collaborators of Inga Prokopenko. A scholar is included among the top collaborators of Inga Prokopenko 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 Inga Prokopenko. Inga Prokopenko 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.
Lagou, Vasiliki, Arno Greyling, Mário G. Ferruzzi, et al.. (2025). Impact of flavan-3-ols on blood pressure and endothelial function in diverse populations: a systematic review and meta-analysis of randomized controlled trials. European Journal of Preventive Cardiology. 32(14). 1322–1334. 3 indexed citations
2.
Burrows, Kimberley, Anni Heiskala, Jonathan P. Bradfield, et al.. (2024). A framework for conducting GWAS using repeated measures data with an application to childhood BMI. Nature Communications. 15(1). 10067–10067.
3.
Krasnienkov, Dmytro, et al.. (2024). Genetic effects of variation at ADH1B-ADH1C locus on substance use disorders and physical health traits. Biopolymers and Cell. 40(3). 191–191.
4.
Korytina, G. F., et al.. (2024). Polygenic Score Approach to Predicting Risk of Metabolic Syndrome. Genes. 16(1). 22–22. 1 indexed citations
5.
Карунас, А. С., et al.. (2024). Evaluation of Polygenic Risk Score for Prediction of Childhood Onset and Severity of Asthma. International Journal of Molecular Sciences. 26(1). 103–103.
6.
Korytina, G. F., et al.. (2024). Mendelian Randomization Analysis Identifies Inverse Causal Relationship between External Eating and Metabolic Phenotypes. Nutrients. 16(8). 1166–1166. 3 indexed citations
7.
Казанцева, А. В., Р. Н. Мустафин, Sergey Malykh, et al.. (2023). A Combined Effect of Polygenic Scores and Environmental Factors on Individual Differences in Depression Level. Genes. 14(7). 1355–1355. 3 indexed citations
8.
Balkhiyarova, Zhanna, Arie Nouwen, Anna Ulrich, et al.. (2023). Bidirectional Mendelian Randomization and Multiphenotype GWAS Show Causality and Shared Pathophysiology Between Depression and Type 2 Diabetes. Diabetes Care. 46(9). 1707–1714. 56 indexed citations
9.
Prokopenko, Inga, et al.. (2022). Using a Polygenic Score to Predict the Risk of Developing Primary Osteoporosis. International Journal of Molecular Sciences. 23(17). 10021–10021. 12 indexed citations
10.
Ivanova, Elizaveta, I. R. Gilyazova, В. Н. Павлов, et al.. (2022). MicroRNA Processing Pathway-Based Polygenic Score for Clear Cell Renal Cell Carcinoma in the Volga-Ural Region Populations of Eurasian Continent. Genes. 13(7). 1281–1281. 2 indexed citations
11.
Balkhiyarova, Zhanna, Rosa Luciano, Marika Kaakinen, et al.. (2021). Relationship between glucose homeostasis and obesity in early life—a study of Italian children and adolescents. Human Molecular Genetics. 31(5). 816–826. 9 indexed citations
12.
Ulrich, Anna, John Wharton, Emilia M. Swietlik, et al.. (2020). Expression Quantitative Trait Locus Mapping in Pulmonary Arterial Hypertension. Genes. 11(11). 1247–1247. 4 indexed citations
13.
Ulrich, Anna, John Wharton, Emilia M. Swietlik, et al.. (2019). Mendelian randomisation analysis of red cell distribution width in pulmonary arterial hypertension. European Respiratory Journal. 55(2). 1901486–1901486. 29 indexed citations
14.
Lowry, Estelle, Nina Rautio, Ville Karhunen, et al.. (2018). Understanding the complexity of glycaemic health: systematic bio-psychosocial modelling of fasting glucose in middle-age adults; a DynaHEALTH study. International Journal of Obesity. 43(6). 1181–1192. 8 indexed citations
15.
Bell, Christopher G., Sarah Finer, Cecilia M. Lindgren, et al.. (2010). Integrated Genetic and Epigenetic Analysis Identifies Haplotype-Specific Methylation in the FTO Type 2 Diabetes and Obesity Susceptibility Locus. PLoS ONE. 5(11). e14040–e14040. 185 indexed citations
16.
Kaakinen, Marika, Inga Prokopenko, W Rayner, et al.. (2008). Genome-wide association (GWA) analysis in 4000 members of a Finnish birth cohort identifies common variants associated with fasting insulin levels and related metabolic traits. Diabetologia. 51. 1 indexed citations
17.
Prokopenko, Inga, Pelin Akan, Hana Lango Allen, et al.. (2008). Fine-mapping type 2 diabetes causal variants on chromosome 9p21 in 2000 UK cases and 3000 unselected controls. Diabetologia. 51. 1 indexed citations
18.
Prokopenko, Inga, Yurii S. Aulchenko, Marika Kaakinen, et al.. (2008). Meta-analysis of genome-wide association data involving 6,100 adults of European origin identifies common variants associated with fasting glucose levels. Diabetologia. 51. 1 indexed citations
19.
Fernández‐Cadenas, Israel, Inga Prokopenko, Nicholas J. Timpson, et al.. (2008). Stratified analysis of the Wellcome Trust Case Control Consortium scan for type 2 diabetes reveals susceptibility loci that may affect age of diagnosis. Diabetologia. 51. 1 indexed citations
20.
Prokopenko, Inga, Eleftheria Zeggini, Christopher J. Groves, et al.. (2008). Putative association signals identified through high-density LD mapping of the replicated T2D linkage region on chromosome 1q are not confirmed in large-scale follow-up studies. Diabetes. 57. 1 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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