Iyas Daghlas

1.7k total citations
22 papers, 539 citations indexed

About

Iyas Daghlas is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Iyas Daghlas has authored 22 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 9 papers in Public Health, Environmental and Occupational Health and 6 papers in Surgery. Recurrent topics in Iyas Daghlas's work include Genetic Associations and Epidemiology (13 papers), Obesity, Physical Activity, Diet (7 papers) and Migraine and Headache Studies (5 papers). Iyas Daghlas is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Obesity, Physical Activity, Diet (7 papers) and Migraine and Headache Studies (5 papers). Iyas Daghlas collaborates with scholars based in United States, United Kingdom and Finland. Iyas Daghlas's co-authors include Richa Saxena, Jacqueline M. Lane, Céline Vetter, Hassan S. Dashti, Dipender Gill, Martin K. Rutter, Krishna G. Aragam, Yanjun Guo, Susanna C. Larsson and Shuai Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and American Journal of Clinical Nutrition.

In The Last Decade

Iyas Daghlas

21 papers receiving 535 citations

Peers

Iyas Daghlas

ECP

GENET

PMH

EAS

PHEOH

Dean A. Marengi United States

Juanjuan Zou China

Angela Gentili United States

Johannes D. Veldhuis United States

Hyun Joo Cho South Korea

Yuichi Inoue Japan

Kathleen Watson United States

J.C. Christian United States

Marcin Sochal Poland

Bendik S. Winsvold Norway

Dean A. Marengi United States

Iyas Daghlas

100 ×0.5

ECP

30 ×0.3

GENET

47 ×0.4

PMH

234 ×2.1

EAS

95 ×1.0

PHEOH

Citations per year, relative to Iyas Daghlas Iyas Daghlas (= 1×) peers Dean A. Marengi

Countries citing papers authored by Iyas Daghlas

Since Specialization

Citations

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

Fields of papers citing papers by Iyas Daghlas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iyas Daghlas

This figure shows the co-authorship network connecting the top 25 collaborators of Iyas Daghlas. A scholar is included among the top collaborators of Iyas Daghlas 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 Iyas Daghlas. Iyas Daghlas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Linxuan, Malik Nassan, Dipender Gill, et al.. (2025). Unravelling the Relationship Between Height, Lean Mass, Alzheimer’s Disease and Cognition Through Mendelian Randomization. Genes. 16(2). 113–113.

Gill, Dipender, Marie‐Joe Dib, Héléne T. Cronjé, et al.. (2024). Common pitfalls in drug target Mendelian randomization and how to avoid them. BMC Medicine. 22(1). 473–473. 14 indexed citations

Daghlas, Iyas & Dipender Gill. (2024). Leveraging Mendelian randomization to inform drug discovery and development for ischemic stroke. Journal of Cerebral Blood Flow & Metabolism. 271678X241305916–271678X241305916. 4 indexed citations

Song, Yanwei, Takeshi Nishiyama, Tin Louie, et al.. (2023). Multi-ancestry genome-wide analysis identifies shared genetic effects and common genetic variants for self-reported sleep duration. Human Molecular Genetics. 32(18). 2797–2807. 5 indexed citations

Daghlas, Iyas & Dipender Gill. (2023). Mendelian randomization as a tool to inform drug development using human genetics. SHILAP Revista de lepidopterología. 1. e16–e16. 23 indexed citations

Richmond, Rebecca C., Jack Bowden, Hassan S. Dashti, et al.. (2022). Assessing the Causal Role of Sleep Traits on Glycated Hemoglobin: A Mendelian Randomization Study. Diabetes Care. 45(4). 772–781. 37 indexed citations

Nassan, Malik, Iyas Daghlas, John W. Winkelman, Hassan S. Dashti, & Richa Saxena. (2022). Genetic evidence for a potential causal relationship between insomnia symptoms and suicidal behavior: a Mendelian randomization study. Neuropsychopharmacology. 47(9). 1672–1679. 16 indexed citations

Daghlas, Iyas, Ville Karhunen, Verena Zuber, et al.. (2021). Genetic Evidence for Repurposing of GLP1R (Glucagon‐Like Peptide‐1 Receptor) Agonists to Prevent Heart Failure. Journal of the American Heart Association. 10(13). e020331–e020331. 19 indexed citations

Daghlas, Iyas & Dipender Gill. (2021). Low‐density lipoprotein cholesterol and lifespan: A Mendelian randomization study. British Journal of Clinical Pharmacology. 87(10). 3916–3924. 13 indexed citations

10.

Yuan, Shuai, Iyas Daghlas, & Susanna C. Larsson. (2021). Alcohol, coffee consumption, and smoking in relation to migraine: a bidirectional Mendelian randomization study. Pain. 163(2). e342–e348. 37 indexed citations

11.

Karhunen, Ville, Iyas Daghlas, Verena Zuber, et al.. (2021). Leveraging human genetic data to investigate the cardiometabolic effects of glucose-dependent insulinotropic polypeptide signalling. Diabetologia. 64(12). 2773–2778. 17 indexed citations

12.

Guo, Yanjun, Iyas Daghlas, Padhraig Gormley, et al.. (2021). Phenotypic and Genotypic Associations Between Migraine and Lipoprotein Subfractions. Neurology. 97(22). e2223–e2235. 13 indexed citations

13.

Daghlas, Iyas, Rebecca C. Richmond, Jacqueline M. Lane, et al.. (2021). Selection into shift work is influenced by educational attainment and body mass index: a Mendelian randomization study in the UK Biobank. International Journal of Epidemiology. 50(4). 1229–1240. 10 indexed citations

14.

Fatumo, Segun, Ville Karhunen, Tinashe Chikowore, et al.. (2021). Metabolic Traits and Stroke Risk in Individuals of African Ancestry: Mendelian Randomization Analysis. Stroke. 52(8). 2680–2684. 15 indexed citations

15.

Dashti, Hassan S., Angela Chen, Iyas Daghlas, & Richa Saxena. (2020). Morning diurnal preference and food intake: a Mendelian randomization study. American Journal of Clinical Nutrition. 112(5). 1348–1357. 19 indexed citations

16.

Daghlas, Iyas & Dipender Gill. (2020). Genetically predicted iron status and life expectancy. Clinical Nutrition. 40(4). 2456–2459. 13 indexed citations

17.

Daghlas, Iyas, Angeliki Vgontzas, Yanjun Guo, Daniel I. Chasman, & Richa Saxena. (2020). Habitual sleep disturbances and migraine: a Mendelian randomization study. Annals of Clinical and Translational Neurology. 7(12). 2370–2380. 23 indexed citations

18.

Daghlas, Iyas, Hassan S. Dashti, Jacqueline M. Lane, et al.. (2019). Sleep Duration and Myocardial Infarction. Journal of the American College of Cardiology. 74(10). 1304–1314. 167 indexed citations

19.

Daghlas, Iyas, et al.. (2019). Effect of genetic liability to migraine on coronary artery disease and atrial fibrillation: a Mendelian randomization study. European Journal of Neurology. 27(3). 550–556. 24 indexed citations

20.

Daghlas, Iyas, Teresa E. Lever, & Emily Leary. (2017). A retrospective investigation of the relationship between baseline covariates and rate of ALSFRS-R decline in ALS clinical trials. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 19(3-4). 206–211. 10 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.

Explore authors with similar magnitude of impact