Valeriya Lyssenko

46.5k total citations · 2 hit papers
73 papers, 4.8k citations indexed

About

Valeriya Lyssenko is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Valeriya Lyssenko has authored 73 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 34 papers in Molecular Biology and 31 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Valeriya Lyssenko's work include Pancreatic function and diabetes (24 papers), Genetic Associations and Epidemiology (20 papers) and Diabetes and associated disorders (17 papers). Valeriya Lyssenko is often cited by papers focused on Pancreatic function and diabetes (24 papers), Genetic Associations and Epidemiology (20 papers) and Diabetes and associated disorders (17 papers). Valeriya Lyssenko collaborates with scholars based in Sweden, Finland and Denmark. Valeriya Lyssenko's co-authors include Leif Groop, Peter Almgren, Peter M. Nilsson, Bo Isomaa, Göran Berglund, Anna Jonsson, David Altshuler, Marju Orho‐Melander, Nicolò Pulizzi and Marketa Sjögren and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of Clinical Investigation.

In The Last Decade

Valeriya Lyssenko

72 papers receiving 4.7k citations

Hit Papers

Clinical Risk Factors, DNA Variants, and the Development ... 2007 2026 2013 2019 2008 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valeriya Lyssenko Sweden 32 2.0k 2.0k 1.9k 1.5k 775 73 4.8k
Leslie J. Baier United States 37 2.4k 1.2× 1.5k 0.8× 840 0.4× 877 0.6× 1.3k 1.7× 141 5.0k
Yoshifumi Saisho Japan 29 1.0k 0.5× 1.2k 0.6× 2.1k 1.1× 2.2k 1.5× 497 0.6× 111 3.9k
Ole Schmitz Denmark 41 1.7k 0.9× 729 0.4× 2.3k 1.2× 1.6k 1.0× 1.4k 1.9× 136 5.2k
Alena Stančáková Finland 34 1.3k 0.6× 678 0.3× 1.1k 0.6× 762 0.5× 805 1.0× 52 3.0k
Johanna Kuusisto Finland 36 2.3k 1.1× 736 0.4× 1.5k 0.8× 880 0.6× 1.8k 2.3× 65 5.0k
Sayuko Kobes United States 31 1.2k 0.6× 1.3k 0.6× 620 0.3× 544 0.4× 678 0.9× 86 3.3k
Jack L. Leahy United States 35 1.3k 0.6× 1.1k 0.6× 2.3k 1.2× 2.1k 1.4× 665 0.9× 95 4.1k
L. Groop Sweden 30 1.1k 0.6× 652 0.3× 1.3k 0.7× 873 0.6× 1.1k 1.5× 57 3.5k
Frédéric Fumeron France 42 1.2k 0.6× 740 0.4× 1.5k 0.8× 1.0k 0.7× 1.3k 1.7× 133 5.2k
Norihiro Kato Japan 36 1.2k 0.6× 1.5k 0.8× 1.1k 0.6× 704 0.5× 567 0.7× 122 4.7k

Countries citing papers authored by Valeriya Lyssenko

Since Specialization
Citations

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

Fields of papers citing papers by Valeriya Lyssenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeriya Lyssenko

This figure shows the co-authorship network connecting the top 25 collaborators of Valeriya Lyssenko. A scholar is included among the top collaborators of Valeriya Lyssenko 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 Valeriya Lyssenko. Valeriya Lyssenko 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.
Haug, Eirin B., Arnulf Langhammer, Paz Lopez‐Doriga Ruiz, et al.. (2024). Clinical utility of novel diabetes subgroups in predicting vascular complications and mortality: up to 25 years of follow-up of the HUNT Study. BMJ Open Diabetes Research & Care. 12(6). e004493–e004493. 1 indexed citations
2.
Lyssenko, Valeriya & Allan Vaag. (2023). Genetics of diabetes-associated microvascular complications. Diabetologia. 66(9). 1601–1613. 41 indexed citations
3.
Keindl, Magdalena, Ruchi Jain, Brith Bergum, et al.. (2020). Increased Plasma Soluble Interleukin-2 Receptor Alpha Levels in Patients With Long-Term Type 1 Diabetes With Vascular Complications Associated With IL2RA and PTPN2 Gene Polymorphisms. Frontiers in Endocrinology. 11. 575469–575469. 10 indexed citations
4.
Molvin, John, Amra Jujić, Peter M. Nilsson, et al.. (2019). A Diabetes-Associated Genetic Variant is Associated with Diastolic Dysfunction and Cardiovascular Disease. ESC Heart Failure. 7(1). 345–353. 3 indexed citations
5.
Cigliola, Valentina, Céline Populaire, Ciro Leonardo Pierri, et al.. (2016). A Variant of GJD2, Encoding for Connexin 36, Alters the Function of Insulin Producing β-Cells. PLoS ONE. 11(3). e0150880–e0150880. 16 indexed citations
6.
Alkayyali, Sami & Valeriya Lyssenko. (2014). Genetics of diabetes complications. Mammalian Genome. 25(9-10). 384–400. 15 indexed citations
7.
Alyass, Akram, Peter Almgren, Mikael Åkerlund, et al.. (2014). Modelling of OGTT curve identifies 1 h plasma glucose level as a strong predictor of incident type 2 diabetes: results from two prospective cohorts. Diabetologia. 58(1). 87–97. 106 indexed citations
8.
Ahlqvist, Emma, Filippo Turrini, Stefan Lang, et al.. (2012). A common variant upstream of the PAX6 gene influences islet function in man. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 1 indexed citations
9.
Rukh, Gull, Emily Sonestedt, Valeriya Lyssenko, et al.. (2010). Genetic susceptibility for obesity increases the risk of type 2 diabetes and is modified by macronutrient intakes. Lund University Publications (Lund University). 1 indexed citations
10.
Abdul-Ghani, Muhammad, et al.. (2010). The shape of plasma glucose concentration curve during OGTT predicts future risk of type 2 diabetes. Diabetes/Metabolism Research and Reviews. 26(4). 280–286. 105 indexed citations
11.
McKenna, Michael P., Valeriya Lyssenko, Michael W. Rowe, et al.. (2009). The diabetes risk score outperforms fasting plasma glucose and glucose tolerance tests: combined results from the Inter99 and Botnia Studies. Lund University Publications (Lund University). 1 indexed citations
12.
Rosengren, Anders H., Ramūnas Jokubka, Charlotte Granhall, et al.. (2009). Overexpression of Alpha2A-Adrenergic Receptors Contributes to Type 2 Diabetes. Science. 327(5962). 217–220. 215 indexed citations
13.
Langenberg, Claudia, Rachit K. Saxena, Marie‐France Hivert, et al.. (2009). Genome-wide meta-analysis identifies novel genetic loci associated with OGTT-induced post-challenge glucose. Lund University Publications (Lund University). 1 indexed citations
14.
Groop, Leif & Valeriya Lyssenko. (2009). Genetics of type 2 diabetes. On overview. Endocrinología y Nutrición. 56. 34–37. 4 indexed citations
15.
Jonsson, Anna, et al.. (2008). Metabolic effects of novel type 2 diabetes genes in a population aged 18-75 years. Lund University Publications (Lund University). 1 indexed citations
16.
Lyssenko, Valeriya. (2008). The transcription factor 7-like 2 gene and increased risk of type 2 diabetes: an update. Current Opinion in Clinical Nutrition & Metabolic Care. 11(4). 385–392. 35 indexed citations
17.
Groop, Leif & Valeriya Lyssenko. (2008). Genes and type 2 diabetes mellitus. Current Diabetes Reports. 8(3). 192–197. 35 indexed citations
19.
Fredriksson, J. Magnus, Dragi Anevski, Peter Almgren, et al.. (2007). Variation in GYS1 Interacts with Exercise and Gender to Predict Cardiovascular Mortality. PLoS ONE. 2(3). e285–e285. 13 indexed citations
20.
Lyssenko, Valeriya, Peter Almgren, Dragi Anevski, et al.. (2005). Genetic Prediction of Future Type 2 Diabetes. PLoS Medicine. 2(12). e345–e345. 104 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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