Steven Gazal

13.6k total citations · 1 hit paper
44 papers, 2.8k citations indexed

About

Steven Gazal is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Steven Gazal has authored 44 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 17 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Steven Gazal's work include Genetic Associations and Epidemiology (25 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Genetic and phenotypic traits in livestock (9 papers). Steven Gazal is often cited by papers focused on Genetic Associations and Epidemiology (25 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Genetic and phenotypic traits in livestock (9 papers). Steven Gazal collaborates with scholars based in United States, France and United Kingdom. Steven Gazal's co-authors include Alkes L. Price, Armin Schoech, Po‐Ru Loh, Luke J. O’Connor, Hilary K. Finucane, Gaurav Bhatia, Bogdan Paşaniuc, Farhad Hormozdiari, Gleb Kichaev and Kathryn S. Burch and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Steven Gazal

43 papers receiving 2.8k citations

Hit Papers

Leveraging Polygenic Functional Enrichment to Improve GWA... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Steven Gazal
Andrew Bakshi Australia
Samuel S. Chong Singapore
Margrit Urbanek United States
Daniel M. Jordan United States
John Dean United Kingdom
Andrew D. Skol United States
Steven Gazal
Citations per year, relative to Steven Gazal Steven Gazal (= 1×) peers Futao Zhang

Countries citing papers authored by Steven Gazal

Since Specialization
Citations

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

Fields of papers citing papers by Steven Gazal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Gazal

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Gazal. A scholar is included among the top collaborators of Steven Gazal 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 Steven Gazal. Steven Gazal 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.
Huang, George, Vitor R. C. Aguiar, Christina Kendziorski, et al.. (2024). Rhinovirus infection of airway epithelial cells uncovers the non-ciliated subset as a likely driver of genetic risk to childhood-onset asthma. Cell Genomics. 4(9). 100636–100636. 4 indexed citations
2.
Stricker, M., Weijiao Zhang, Wei‐Yi Cheng, et al.. (2023). Genome-wide classification of epigenetic activity reveals regions of enriched heritability in immune-related traits. Cell Genomics. 4(1). 100469–100469.
3.
Gazal, Steven, Omer Weissbrod, Farhad Hormozdiari, et al.. (2022). Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity. Nature Genetics. 54(6). 827–836. 73 indexed citations
4.
Dey, Kushal K., Steven Gazal, Bryce van de Geijn, et al.. (2022). SNP-to-gene linking strategies reveal contributions of enhancer-related and candidate master-regulator genes to autoimmune disease. Cell Genomics. 2(7). 100145–100145. 14 indexed citations
5.
Shi, Huwenbo, Steven Gazal, Masahiro Kanai, et al.. (2021). Population-specific causal disease effect sizes in functionally important regions impacted by selection. Nature Communications. 12(1). 1098–1098. 57 indexed citations
6.
Kim, Samuel S., Kushal K. Dey, Omer Weissbrod, et al.. (2020). Improving the informativeness of Mendelian disease-derived pathogenicity scores for common disease. Nature Communications. 11(1). 9 indexed citations
7.
Geijn, Bryce van de, Hilary K. Finucane, Steven Gazal, et al.. (2019). Annotations capturing cell type-specific TF binding explain a large fraction of disease heritability. Human Molecular Genetics. 29(7). 1057–1067. 9 indexed citations
8.
Amariuta, Tiffany, Yang Luo, Steven Gazal, et al.. (2019). IMPACT: Genomic Annotation of Cell-State-Specific Regulatory Elements Inferred from the Epigenome of Bound Transcription Factors. The American Journal of Human Genetics. 104(5). 879–895. 30 indexed citations
9.
Hormozdiari, Farhad, Steven Gazal, Bryce van de Geijn, et al.. (2018). Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits. Nature Genetics. 50(7). 1041–1047. 93 indexed citations
10.
Kichaev, Gleb, Gaurav Bhatia, Po‐Ru Loh, et al.. (2018). Leveraging Polygenic Functional Enrichment to Improve GWAS Power. The American Journal of Human Genetics. 104(1). 65–75. 485 indexed citations breakdown →
11.
Gazal, Steven, Po‐Ru Loh, Hilary K. Finucane, et al.. (2018). Functional architecture of low-frequency variants highlights strength of negative selection across coding and non-coding annotations. Nature Genetics. 50(11). 1600–1607. 78 indexed citations
12.
Gazal, Steven, Hilary K. Finucane, Nicholas A. Furlotte, et al.. (2017). Linkage disequilibrium–dependent architecture of human complex traits shows action of negative selection. Nature Genetics. 49(10). 1421–1427. 242 indexed citations
13.
Gazal, Steven, Emmanuelle Génin, & Anne‐Louise Leutenegger. (2015). Relationship inference from the genetic data on parents or offspring: A comparative study. Theoretical Population Biology. 107. 31–38. 1 indexed citations
14.
Gazal, Steven, Mourad Sahbatou, Marie‐Claude Babron, Emmanuelle Génin, & Anne‐Louise Leutenegger. (2015). High level of inbreeding in final phase of 1000 Genomes Project. Scientific Reports. 5(1). 17453–17453. 47 indexed citations
15.
Verdura, Edgard, Dominique Hervé, Eva Scharrer, et al.. (2015). HeterozygousHTRA1mutations are associated with autosomal dominant cerebral small vessel disease. Brain. 138(8). 2347–2358. 123 indexed citations
16.
Gazal, Steven, Edgard Verdura, Françoise Bergametti, et al.. (2015). Can whole-exome sequencing data be used for linkage analysis?. European Journal of Human Genetics. 24(4). 581–586. 8 indexed citations
17.
Juge, Pierre‐Antoine, H.W. van Steenbergen, Arnaud Constantin, et al.. (2014). SPP1 rs9138 variant contributes to the severity of radiological damage in anti-citrullinated protein autoantibody-negative rheumatoid arthritis. Annals of the Rheumatic Diseases. 73(10). 1840–1843. 10 indexed citations
18.
Borie, Raphaël, Bruno Crestani, Philippe Dieudé, et al.. (2013). The MUC5B Variant Is Associated with Idiopathic Pulmonary Fibrosis but Not with Systemic Sclerosis Interstitial Lung Disease in the European Caucasian Population. PLoS ONE. 8(8). e70621–e70621. 121 indexed citations
19.
Génin, Emmanuelle, Mourad Sahbatou, Steven Gazal, et al.. (2012). Could Inbred Cases Identified in GWAS Data Succeed in Detecting Rare Recessive Variants Where Affected Sib-Pairs Have Failed?. Human Heredity. 74(3-4). 142–152. 5 indexed citations
20.
Leutenegger, Anne‐Louise, Mourad Sahbatou, Steven Gazal, Howard M. Cann, & Emmanuelle Génin. (2011). Consanguinity around the world: what do the genomic data of the HGDP-CEPH diversity panel tell us?. European Journal of Human Genetics. 19(5). 583–587. 45 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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