Valeriya Lyssenko
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Diabetes Management and Research
- Genetics top 1%
- Genetic Associations and Epidemiology
- Diabetes and associated disorders
Papers in
- Genetics 30
- Genetic Associations and Epidemiology 17
- Diabetes and associated disorders 10
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- Diabetes, Cardiovascular Risks, and Lipoproteins 7
- Diabetes Treatment and Management 5
- Co-authors
- Leif Groop (49 shared papers)Peter Almgren (15 shared papers)Peter M. Nilsson (17 shared papers)Bo Isomaa (12 shared papers)Göran Berglund (3 shared papers)Anna Jonsson (8 shared papers)David Altshuler (3 shared papers)Marju Orho‐Melander (9 shared papers)
In The Last Decade
Valeriya Lyssenko
74 papers receiving 4.9k citations
Valeriya Lyssenko's Hit Papers
Peers
Comparison fields: 5 of 123
- Endocrinology, Diabetes and Metabolism 1.5k
- Genetics 1.7k
- Surgery 1.2k
- Physiology 569
- Molecular Biology 1.5k
Countries citing papers authored by Valeriya Lyssenko
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
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-authors
The 25 scholars most cited alongside Valeriya Lyssenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical Risk Factors, DNA Variants, and the Development of Type 2 Diabetes Hit paper breakdown → | 2008 | 696 |
| 2 | Mechanisms by which common variants in the TCF7L2 gene increase risk of type 2 diabetes Hit paper breakdown → | 2007 | 617 |
| 3 | 2006 | 308 | |
| 4 | 2012 | 293 | |
| 5 | 2005 | 282 | |
| 6 | 2009 | 229 | |
| 7 | 2008 | 200 | |
| 8 | 2011 | 197 | |
| 9 | 2008 | 172 | |
| 10 | 2013 | 129 | |
| 11 | 2010 | 110 | |
| 12 | 2005 | 108 | |
| 13 | 2014 | 107 | |
| 14 | 2009 | 107 | |
| 15 | 2011 | 106 | |
| 16 | 2015 | 97 | |
| 17 | 2011 | 84 | |
| 18 | 2013 | 80 | |
| 19 | 2008 | 80 | |
| 20 | 2009 | 79 |
About Valeriya Lyssenko
Valeriya Lyssenko is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery and Physiology, having authored 77 papers that have together received 5.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (17 papers), Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (10 papers), Metabolism, Diabetes, and Cancer (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Adipose Tissue and Metabolism (7 papers), Diet and metabolism studies (7 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Genetics (1.7k citations), Surgery (1.2k citations), Physiology (569 citations) and Molecular Biology (1.5k citations). Valeriya Lyssenko has collaborated with scholars based in Sweden, Finland and Denmark. Frequent 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. Their work appears in journals such as Diabetes, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and PLoS ONE.
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.