Inga Prokopenko
Impact in
- Genetics top 0.01%
- Genetic Associations and Epidemiology
- Nutrition, Genetics, and Disease
- Endocrine and Autonomic Systems top 0.2%
- Regulation of Appetite and Obesity
Papers in
- Genetics 145
- Genetic Associations and Epidemiology 142
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- Birth, Development, and Health 6
- Co-authors
- Mark I. McCarthy (6 shared papers)Cecilia M. Lindgren (5 shared papers)Muredach P. Reilly (1 shared paper)Sally L. Ricketts (1 shared paper)Dörte Radke (1 shared paper)Federica Tozzi (2 shared papers)Pierandrea Muglia (2 shared papers)Matthew M. Heeney (1 shared paper)
- Journals
- Nature Genetics (34 papers)PLoS Genetics (18 papers)Diabetes (15 papers)Nature (12 papers)Nature Communications (11 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Inga Prokopenko
198 papers receiving 48k citations
Inga Prokopenko's Hit Papers
Peers
Comparison fields: 5 of 179
- Genetics 27.3k
- Endocrine and Autonomic Systems 1.9k
- Nephrology 1.8k
- Endocrinology, Diabetes and Metabolism 2.9k
- Pediatrics, Perinatology and Child Health 1.4k
Countries citing papers authored by Inga Prokopenko
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
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-authors
The 25 scholars most cited alongside Inga Prokopenko, 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 202 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic studies of body mass index yield new insights for obesity biology Hit paper breakdown → | 2015 | 3536 |
| 2 | Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index Hit paper breakdown → | 2010 | 2434 |
| 3 | New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk Hit paper breakdown → | 2010 | 1857 |
| 4 | Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk Hit paper breakdown → | 2011 | 1707 |
| 5 | Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes Hit paper breakdown → | 2012 | 1589 |
| 6 | Hundreds of variants clustered in genomic loci and biological pathways affect human height Hit paper breakdown → | 2010 | 1569 |
| 7 | Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes Hit paper breakdown → | 2008 | 1545 |
| 8 | Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis Hit paper breakdown → | 2010 | 1480 |
| 9 | Six new loci associated with body mass index highlight a neuronal influence on body weight regulation Hit paper breakdown → | 2008 | 1455 |
| 10 | Defining the role of common variation in the genomic and biological architecture of adult human height Hit paper breakdown → | 2014 | 1408 |
| 11 | New genetic loci link adipose and insulin biology to body fat distribution Hit paper breakdown → | 2015 | 1258 |
| 12 | Common variants near MC4R are associated with fat mass, weight and risk of obesity Hit paper breakdown → | 2008 | 1089 |
| 13 | Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility Hit paper breakdown → | 2014 | 881 |
| 14 | The genetic architecture of type 2 diabetes Hit paper breakdown → | 2016 | 845 |
| 15 | Identification of seven loci affecting mean telomere length and their association with disease Hit paper breakdown → | 2013 | 794 |
| 16 | Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution Hit paper breakdown → | 2010 | 788 |
| 17 | Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index Hit paper breakdown → | 2010 | 761 |
| 18 | Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways Hit paper breakdown → | 2012 | 703 |
| 19 | New loci associated with kidney function and chronic kidney disease Hit paper breakdown → | 2010 | 697 |
| 20 | A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance Hit paper breakdown → | 2012 | 681 |
About Inga Prokopenko
Inga Prokopenko is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Nephrology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 202 papers that have together received 49.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (142 papers), Pulmonary Hypertension Research and Treatments (6 papers), Birth, Development, and Health (6 papers), Pancreatic function and diabetes (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Eating Disorders and Behaviors (3 papers) and Health, Environment, Cognitive Aging (3 papers). The work is most often cited by research in Genetics (27.3k citations), Endocrine and Autonomic Systems (1.9k citations), Nephrology (1.8k citations), Endocrinology, Diabetes and Metabolism (2.9k citations) and Pediatrics, Perinatology and Child Health (1.4k citations). Inga Prokopenko has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Mark I. McCarthy, Cecilia M. Lindgren, Muredach P. Reilly, Sally L. Ricketts, Dörte Radke, Federica Tozzi, Pierandrea Muglia, Matthew M. Heeney, Nicole Soranzo and Joseph M. Devaney. Their work appears in journals such as Nature Genetics, PLoS Genetics, Diabetes, Nature and Nature Communications.
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.