Alaitz Poveda

3.2k total citations
27 papers, 281 citations indexed

About

Alaitz Poveda is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Alaitz Poveda has authored 27 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Alaitz Poveda's work include Genetic Associations and Epidemiology (12 papers), Nutrition, Genetics, and Disease (5 papers) and Adipose Tissue and Metabolism (4 papers). Alaitz Poveda is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Nutrition, Genetics, and Disease (5 papers) and Adipose Tissue and Metabolism (4 papers). Alaitz Poveda collaborates with scholars based in Spain, Sweden and United States. Alaitz Poveda's co-authors include Esther Rebato, Paul W. Franks, Aline Jelenkovic, Frida Renström, Göran Hallmans, Ingegerd Johansson, Azra Kurbasic, Inês Barroso, Shafqat Ahmad and Charles Susanne and has published in prestigious journals such as PLoS ONE, Scientific Reports and Diabetologia.

In The Last Decade

Alaitz Poveda

26 papers receiving 273 citations

Peers

Alaitz Poveda
Muagututi‘a Sefuiva Reupena United States
M. Chueca Spain
Ying-Jun Mi China
Geetha Chittoor United States
А. И. Козлов Russia
Scott Hines United States
Toby Candler United Kingdom
Barbara Wolters Germany
Esra Döğer Türkiye
Stefan Gaget France
Muagututi‘a Sefuiva Reupena United States
Alaitz Poveda
Citations per year, relative to Alaitz Poveda Alaitz Poveda (= 1×) peers Muagututi‘a Sefuiva Reupena

Countries citing papers authored by Alaitz Poveda

Since Specialization
Citations

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

Fields of papers citing papers by Alaitz Poveda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alaitz Poveda

This figure shows the co-authorship network connecting the top 25 collaborators of Alaitz Poveda. A scholar is included among the top collaborators of Alaitz Poveda 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 Alaitz Poveda. Alaitz Poveda 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.
Fernández‐Tajes, Juan, Neli Tsereteli, Hugo Pomares‐Millan, et al.. (2023). A phenome-wide comparative analysis of genetic discordance between obesity and type 2 diabetes. Nature Metabolism. 5(2). 237–247. 22 indexed citations
2.
Poveda, Alaitz, Hugo Pomares‐Millan, Yan Chen, et al.. (2022). Exposome-wide ranking of modifiable risk factors for cardiometabolic disease traits. Scientific Reports. 12(1). 4088–4088. 6 indexed citations
3.
Pomares‐Millan, Hugo, Alaitz Poveda, Naeimeh Atabaki‐Pasdar, et al.. (2022). Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality. Nutrients. 14(15). 3171–3171. 1 indexed citations
4.
Hindy, George, Isabel Drake, Alaitz Poveda, et al.. (2020). Blood pressure and bladder cancer risk in men by use of survival analysis and in interaction with NAT2 genotype, and by Mendelian randomization analysis. PLoS ONE. 15(11). e0241711–e0241711. 4 indexed citations
5.
Poveda, Alaitz, et al.. (2019). Body image in relation to nutritional status in adults from the Basque Country, Spain. Journal of Biosocial Science. 52(2). 272–285. 7 indexed citations
6.
Arauna, Lara R., Alaitz Poveda, Esther Rebato, et al.. (2019). European Roma groups show complex West Eurasian admixture footprints and a common South Asian genetic origin. PLoS Genetics. 15(9). e1008417–e1008417. 26 indexed citations
7.
Poveda, Alaitz, et al.. (2019). Contribution of obesity associated genetic variants to anthropometric somatotype components. Anthropologischer Anzeiger. 76(2). 101–111. 5 indexed citations
8.
Chen, Yan, Maria Keller, Alaitz Poveda, et al.. (2018). The combined effects of FADS gene variation and dietary fats in obesity-related traits in a population from the far north of Sweden: the GLACIER Study. International Journal of Obesity. 43(4). 808–820. 12 indexed citations
9.
Alfonso‐Sánchez, Miguel Á., et al.. (2017). Tau haplotypes support the Asian ancestry of the Roma population settled in the Basque Country. Heredity. 120(2). 91–99. 6 indexed citations
10.
Poveda, Alaitz, Yan Chen, Anders Brändström, et al.. (2016). The heritable basis of gene–environment interactions in cardiometabolic traits. Diabetologia. 60(3). 442–452. 26 indexed citations
11.
Ahmad, Shafqat, Alaitz Poveda, Dmitry Shungin, et al.. (2016). Established BMI-associated genetic variants and their prospective associations with BMI and other cardiometabolic traits: the GLACIER Study. International Journal of Obesity. 40(9). 1346–1352. 18 indexed citations
12.
Poveda, Alaitz, Robert W. Koivula, Shafqat Ahmad, et al.. (2015). Innate biology versus lifestyle behaviour in the aetiology of obesity and type 2 diabetes: the GLACIER Study. Diabetologia. 59(3). 462–471. 12 indexed citations
13.
Poveda, Alaitz, et al.. (2014). Obesity and body size perceptions in a Spanish Roma population. Annals of Human Biology. 41(5). 428–435. 11 indexed citations
14.
Kurbasic, Azra, Alaitz Poveda, Yan Chen, et al.. (2014). Gene-Lifestyle Interactions in Complex Diseases: Design and Description of the GLACIER and VIKING Studies. Current Nutrition Reports. 3(4). 400–411. 11 indexed citations
15.
Poveda, Alaitz, et al.. (2014). Common variants in BDNF, FAIM2, FTO, MC4R, NEGR1, and SH2B1 show association with obesity‐related variables in Spanish Roma population. American Journal of Human Biology. 26(5). 660–669. 20 indexed citations
16.
Poveda, Alaitz, et al.. (2012). Heritability variations of body linearity and obesity indicators during growth. HOMO. 63(4). 301–310. 4 indexed citations
17.
Franks, Paul W. & Alaitz Poveda. (2011). Gene-Lifestyle and Gene-Pharmacotherapy Interactions in Obesity and Its Cardiovascular Consequences. Current Vascular Pharmacology. 9(4). 401–456. 6 indexed citations
18.
Jelenkovic, Aline, Alaitz Poveda, & Esther Rebato. (2010). A statistical investigation into the sharing of common genetic factors between blood pressure and obesity phenotypes in nuclear families from the Greater Bilbao (Spain). Journal of Hypertension. 28(4). 723–731. 9 indexed citations
19.
Jelenkovic, Aline, Alaitz Poveda, Charles Susanne, & Esther Rebato. (2010). Common genetic and environmental factors among craniofacial traits in Belgian nuclear families: Comparing skeletal and soft-tissue related phenotypes. HOMO. 61(3). 191–203. 10 indexed citations
20.
Jelenkovic, Aline, Alaitz Poveda, Charles Susanne, & Esther Rebato. (2008). Contribution of Genetics and Environment to Craniofacial Anthropometric Phenotypes in Belgian Nuclear Families. Human Biology. 80(6). 637–654.

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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