A. Mesut Erzurumluoglu

5.6k total citations · 1 hit paper
19 papers, 720 citations indexed

About

A. Mesut Erzurumluoglu is a scholar working on Genetics, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, A. Mesut Erzurumluoglu has authored 19 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 6 papers in Health, Toxicology and Mutagenesis and 4 papers in Molecular Biology. Recurrent topics in A. Mesut Erzurumluoglu's work include Genetic Associations and Epidemiology (8 papers), Health, Environment, Cognitive Aging (4 papers) and Genomics and Rare Diseases (3 papers). A. Mesut Erzurumluoglu is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Health, Environment, Cognitive Aging (4 papers) and Genomics and Rare Diseases (3 papers). A. Mesut Erzurumluoglu collaborates with scholars based in United Kingdom, United States and Australia. A. Mesut Erzurumluoglu's co-authors include Tom R. Gaunt, Gibran Hemani, David M. Evans, Jie Zheng, Nicole M. Warrington, Hilary K. Finucane, Benjamin M. Neale, Alkes L. Price, Verneri Anttila and Benjamin Elsworth and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

A. Mesut Erzurumluoglu

18 papers receiving 713 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis

2016 406 citations Jie Zheng, A. Mesut Erzurumluoglu et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Mesut Erzurumluoglu United Kingdom	9	352	163	88	65	60	19	720
Chantel Sloan United States	14	147 0.4×	208 1.3×	75 0.9×	172 2.6×	50 0.8×	39	1.0k
Brian Z. Huang United States	21	40 0.1×	166 1.0×	19 0.2×	71 1.1×	23 0.4×	63	1.1k
Heather Lau United States	21	129 0.4×	265 1.6×	124 1.4×	13 0.2×	55 0.9×	62	1.1k
Hyun Yong Koh South Korea	13	138 0.4×	197 1.2×	33 0.4×	71 1.1×	13 0.2×	29	1.1k
Christian Arias‐Reyes Canada	9	79 0.2×	59 0.4×	45 0.5×	26 0.4×	8 0.1×	24	359
Francesco Pompei United States	16	103 0.3×	141 0.9×	16 0.2×	31 0.5×	11 0.2×	28	980
Sara Conti Italy	16	54 0.2×	71 0.4×	13 0.1×	77 1.2×	26 0.4×	58	789
Rachel Turner Italy	13	241 0.7×	63 0.4×	19 0.2×	29 0.4×	10 0.2×	29	455
Marta Barreto Portugal	14	140 0.4×	55 0.3×	16 0.2×	13 0.2×	9 0.1×	41	590
Nobutoshi Nawa Japan	15	78 0.2×	144 0.9×	11 0.1×	34 0.5×	8 0.1×	88	642

Countries citing papers authored by A. Mesut Erzurumluoglu

Since Specialization

Citations

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

Fields of papers citing papers by A. Mesut Erzurumluoglu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Mesut Erzurumluoglu. 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 A. Mesut Erzurumluoglu. The network helps show where A. Mesut Erzurumluoglu may publish in the future.

Co-authorship network of co-authors of A. Mesut Erzurumluoglu

This figure shows the co-authorship network connecting the top 25 collaborators of A. Mesut Erzurumluoglu. A scholar is included among the top collaborators of A. Mesut Erzurumluoglu 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 A. Mesut Erzurumluoglu. A. Mesut Erzurumluoglu 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:

19 of 19 papers shown

Qiu, Jiajun, Li Li, A. Mesut Erzurumluoglu, et al.. (2025). Deep representation learning for clustering longitudinal survival data from electronic health records. Nature Communications. 16(1). 2534–2534. 2 indexed citations

Arora, Jatin, A. Mesut Erzurumluoglu, Stephen A. Stanhope, et al.. (2024). Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction. Journal of the American Medical Informatics Association. 32(3). 435–446.

Bowker, Nicholas, Stephen Burgess, Christopher N. Foley, et al.. (2021). Genetically Predicted Glucose-Dependent Insulinotropic Polypeptide (GIP) Levels and Cardiovascular Disease Risk Are Driven by Distinct Causal Variants in the GIPR Region. Diabetes. 70(11). 2706–2719. 16 indexed citations

Islam, Nazrul, Ben Lacey, Sharmin Shabnam, et al.. (2021). Social inequality and the syndemic of chronic disease and COVID-19: county-level analysis in the USA. Journal of Epidemiology & Community Health. 75(6). 496–500. 73 indexed citations

Melbourne, Carl, A. Mesut Erzurumluoglu, Nick Shrine, et al.. (2021). Genome-wide gene-air pollution interaction analysis of lung function in 300,000 individuals. Environment International. 159. 107041–107041. 14 indexed citations

Erzurumluoglu, A. Mesut, et al.. (2020). The Y Chromosome: A Complex Locus for Genetic Analyses of Complex Human Traits. Genes. 11(11). 1273–1273. 12 indexed citations

Islam, Nazrul, Qasim Bukhari, Yusuf Jameel, et al.. (2020). COVID-19 and climatic factors: A global analysis. Environmental Research. 193. 110355–110355. 87 indexed citations

Erzurumluoglu, A. Mesut, et al.. (2018). Mitochondrial DNA Haplogroups and Breast Cancer Risk Factors in the Avon Longitudinal Study of Parents and Children (ALSPAC). Genes. 9(8). 395–395. 7 indexed citations

Erzurumluoglu, A. Mesut, Denis Baird, Tom G. Richardson, Nicholas J. Timpson, & Santiago Rodrı́guez. (2018). Using Y-Chromosomal Haplogroups in Genetic Association Studies and Suggested Implications. Genes. 9(1). 45–45. 4 indexed citations

10.

O’Keeffe, Linda M., Laura D Howe, Abigail Fraser, et al.. (2018). Associations of Y chromosomal haplogroups with cardiometabolic risk factors and subclinical vascular measures in males during childhood and adolescence. Atherosclerosis. 274. 94–103. 12 indexed citations

11.

Wain, Louise V., Nick Shrine, Anna L. Guyatt, et al.. (2018). A weighted genetic risk score based on 279 signals of association with lung function predicts Chronic Obstructive Pulmonary Disease. Genes and Environment. OA2188–OA2188. 2 indexed citations

12.

Howe, Laurence J, A. Mesut Erzurumluoglu, George Davey Smith, Santiago Rodrı́guez, & Evie Stergiakouli. (2017). Y Chromosome, Mitochondrial DNA and Childhood Behavioural Traits. Scientific Reports. 7(1). 11655–11655. 4 indexed citations

13.

Zheng, Jie, Philip Haycock, Gibran Hemani, et al.. (2016). LD hub and MR-base: online platforms for preforming LD score regression and Mendelian randomization analysis using GWAS summary data. Behavior Genetics. 46(6). 815–815. 5 indexed citations

14.

Erzurumluoglu, A. Mesut, Hashem A. Shihab, Santiago Rodrı́guez, Tom R. Gaunt, & Ian N.M. Day. (2016). Importance of Genetic Studies in Consanguineous Populations for the Characterization of Novel Human Gene Functions. Annals of Human Genetics. 80(3). 187–196. 31 indexed citations

15.

Zheng, Jie, A. Mesut Erzurumluoglu, Benjamin Elsworth, et al.. (2016). LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis. Bioinformatics. 33(2). 272–279. 406 indexed citations breakdown →

16.

Zheng, Jie, Santiago Rodrı́guez, Charles Laurin, et al.. (2016). HAPRAP: a haplotype-based iterative method for statistical fine mapping using GWAS summary statistics. Bioinformatics. 33(1). 79–86. 4 indexed citations

17.

Erzurumluoglu, A. Mesut, Santiago Rodrı́guez, Hashem A. Shihab, et al.. (2015). Identifying Highly Penetrant Disease Causal Mutations Using Next Generation Sequencing: Guide to Whole Process. BioMed Research International. 2015. 1–16. 7 indexed citations

18.

Erzurumluoglu, A. Mesut, Muslim M. Alsaadi, Santiago Rodrı́guez, et al.. (2015). Proxy Molecular Diagnosis from Whole-Exome Sequencing Reveals Papillon-Lefevre Syndrome Caused by a Missense Mutation in CTSC. PLoS ONE. 10(3). e0121351–e0121351. 5 indexed citations

19.

Alsaadi, Muslim M., A. Mesut Erzurumluoglu, Santiago Rodrı́guez, et al.. (2014). Nonsense Mutation in Coiled-Coil Domain Containing 151 Gene (CCDC151) Causes Primary Ciliary Dyskinesia. Human Mutation. 35(12). 1446–1448. 29 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