Ahmad Vaez

5.8k total citations
19 papers, 401 citations indexed

About

Ahmad Vaez is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Ahmad Vaez has authored 19 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Ahmad Vaez's work include Genetic Associations and Epidemiology (7 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Gastrointestinal motility and disorders (2 papers). Ahmad Vaez is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Gastrointestinal motility and disorders (2 papers). Ahmad Vaez collaborates with scholars based in Netherlands, Iran and United States. Ahmad Vaez's co-authors include Harold Snieder, Zoha Kamali, Ilja M. Nolte, Henning Tiemeier, Janine F. Felix, Salome Scholtens, Soesma A. Jankipersadsing, Xiaojing Xu, Leanne K. Küpers and Eva Corpeleijn and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Ahmad Vaez

18 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmad Vaez Netherlands 10 202 115 112 70 42 19 401
Sonja Kunze Germany 10 338 1.7× 77 0.7× 153 1.4× 138 2.0× 65 1.5× 15 552
Eirini Marouli United Kingdom 12 86 0.4× 171 1.5× 40 0.4× 11 0.2× 38 0.9× 29 444
Danni A. Gadd United Kingdom 8 158 0.8× 46 0.4× 33 0.3× 20 0.3× 59 1.4× 17 266
Jianying Zhan China 12 75 0.4× 34 0.3× 116 1.0× 16 0.2× 95 2.3× 23 526
Jasper Broen Netherlands 9 260 1.3× 38 0.3× 57 0.5× 15 0.2× 81 1.9× 16 562
Banu Küçükemre Aydın Türkiye 12 100 0.5× 63 0.5× 110 1.0× 31 0.4× 31 0.7× 40 400
Pauliina Utriainen Finland 15 240 1.2× 100 0.9× 270 2.4× 13 0.2× 73 1.7× 32 822
Dipali Goyal United States 9 151 0.7× 35 0.3× 277 2.5× 25 0.4× 59 1.4× 13 459
Ki Eun Kim South Korea 9 93 0.5× 48 0.4× 42 0.4× 19 0.3× 81 1.9× 25 377
Zhi-Wei Zhu China 11 69 0.3× 53 0.5× 161 1.4× 12 0.2× 55 1.3× 27 550

Countries citing papers authored by Ahmad Vaez

Since Specialization
Citations

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

Fields of papers citing papers by Ahmad Vaez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmad Vaez

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

All Works

19 of 19 papers shown
1.
2.
Kamali, Zoha, Michael Ng, Dmitriy Drichel, et al.. (2024). A genome-wide association meta-analysis implicates Hedgehog and Notch signaling in Dupuytren’s disease. Nature Communications. 15(1). 199–199. 6 indexed citations
3.
Kamali, Zoha, Angelique N. Voorberg, Thijs H. Oude Munnink, et al.. (2024). Transcriptomics- and Genomics-Guided Drug Repurposing for the Treatment of Vesicular Hand Eczema. Pharmaceutics. 16(4). 476–476. 2 indexed citations
4.
Kamali, Zoha, Nafiseh Esmaeil, Chris H. L. Thio, Ahmad Vaez, & Harold Snieder. (2024). Pathway-Based Mendelian Randomization for Pre-Infection IL-6 Levels Highlights Its Role in Coronavirus Disease. Genes. 15(7). 889–889.
5.
Sehhati, Mohammadreza, et al.. (2023). Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach. BMC Medical Informatics and Decision Making. 23(1). 167–167. 3 indexed citations
6.
Keshteli, Ammar Hassanzadeh, et al.. (2023). Exploring new subgroups for irritable bowel syndrome using a machine learning algorithm. Scientific Reports. 13(1). 18483–18483. 4 indexed citations
7.
Kamali, Zoha, Jacob M. Keaton, Shaghayegh Haghjooy Javanmard, et al.. (2022). Large-Scale Multi-Omics Studies Provide New Insights into Blood Pressure Regulation. International Journal of Molecular Sciences. 23(14). 7557–7557. 14 indexed citations
8.
Poursafa, Parinaz, Zoha Kamali, Eliza Fraszczyk, et al.. (2022). DNA methylation: a potential mediator between air pollution and metabolic syndrome. Clinical Epigenetics. 14(1). 82–82. 42 indexed citations
9.
Asefa, Nigus Gebremedhin, Zoha Kamali, Ahmad Vaez, et al.. (2022). Bioinformatic Prioritization and Functional Annotation of GWAS-Based Candidate Genes for Primary Open-Angle Glaucoma. Genes. 13(6). 1055–1055. 12 indexed citations
10.
Adibi, Peyman, Alireza Ani, Ahmad Vaez, et al.. (2022). Multidisciplinary approach to functional somatic syndromes: study protocol for a population-based prospective cohort study. BMJ Open. 12(7). e048941–e048941. 5 indexed citations
11.
Ani, Alireza, Peter J. van der Most, Harold Snieder, Ahmad Vaez, & Ilja M. Nolte. (2020). GWASinspector: comprehensive quality control of genome-wide association study results. Bioinformatics. 37(1). 129–130. 13 indexed citations
12.
Thio, Chris H. L., Anna Reznichenko, Peter J. van der Most, et al.. (2019). Genome-Wide Association Scan of Serum Urea in European Populations Identifies Two Novel Loci. American Journal of Nephrology. 49(3). 193–202. 7 indexed citations
13.
14.
Vaez, Ahmad, Yalda Jamshidi, Ilja M. Nolte, et al.. (2017). Genetic and environmental influences on stability and change in baseline levels of C-reactive protein: A longitudinal twin study. Atherosclerosis. 265. 172–178. 16 indexed citations
15.
Ligthart, Symen, Ahmad Vaez, Yi‐Hsiang Hsu, et al.. (2016). Bivariate genome-wide association study identifies novel pleiotropic loci for lipids and inflammation. BMC Genomics. 17(1). 443–443. 46 indexed citations
16.
Vaez, Ahmad, Peter J. van der Most, Bram P. Prins, et al.. (2016). lodGWAS: a software package for genome-wide association analysis of biomarkers with a limit of detection. Bioinformatics. 32(10). 1552–1554. 4 indexed citations
17.
Küpers, Leanne K., Xiaojing Xu, Soesma A. Jankipersadsing, et al.. (2015). DNA methylation mediates the effect of maternal smoking during pregnancy on birthweight of the offspring. International Journal of Epidemiology. 44(4). 1224–1237. 137 indexed citations
18.
Vaez, Ahmad, Rick Jansen, Bram P. Prins, et al.. (2015). In Silico Post Genome-Wide Association Studies Analysis of C-Reactive Protein Loci Suggests an Important Role for Interferons. Circulation Cardiovascular Genetics. 8(3). 487–497. 16 indexed citations
19.
Most, Peter J. van der, Ahmad Vaez, Bram P. Prins, et al.. (2014). QCGWAS: A flexible R package for automated quality control of genome-wide association results. Bioinformatics. 30(8). 1185–1186. 12 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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