Anthony Marcketta

46.5k total citations · 1 hit paper
7 papers, 537 citations indexed

About

Anthony Marcketta is a scholar working on Genetics, Epidemiology and Rheumatology. According to data from OpenAlex, Anthony Marcketta has authored 7 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 1 paper in Epidemiology and 1 paper in Rheumatology. Recurrent topics in Anthony Marcketta's work include Genetic Associations and Epidemiology (6 papers), Genomics and Rare Diseases (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Anthony Marcketta is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genomics and Rare Diseases (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Anthony Marcketta collaborates with scholars based in United States and Switzerland. Anthony Marcketta's co-authors include Jonathan Marchini, Gonçalo R. Abecasis, Aris Baras, Colm O’Dushlaine, Joshua Backman, Jeffrey G. Reid, Leland Barnard, Mathew Barber, Boris Boutkov and Andrey Ziyatdinov and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Genome Research.

In The Last Decade

Anthony Marcketta

6 papers receiving 536 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.

Computationally efficient whole-genome regression for quantitative and binary traits

2021 512 citations Joelle Mbatchou, Leland Barnard et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anthony Marcketta United States	4	313	158	65	47	42	7	537
Boris Boutkov United States	2	304 1.0×	154 1.0×	58 0.9×	46 1.0×	42 1.0×	2	518
Joshua Backman United States	7	315 1.0×	177 1.1×	73 1.1×	68 1.4×	70 1.7×	9	605
Guanghao Qi United States	10	323 1.0×	150 0.9×	37 0.6×	31 0.7×	77 1.8×	15	556
Yambazi Banda United States	10	190 0.6×	174 1.1×	86 1.3×	46 1.0×	22 0.5×	13	623
Guido Fischer Germany	4	281 0.9×	216 1.4×	86 1.3×	86 1.8×	25 0.6×	7	696
Brooke N. Wolford United States	7	391 1.2×	251 1.6×	79 1.2×	78 1.7×	65 1.5×	12	759
Kathryn S. Burch United States	10	514 1.6×	309 2.0×	60 0.9×	42 0.9×	42 1.0×	14	826
Rounak Dey United States	8	486 1.6×	279 1.8×	97 1.5×	61 1.3×	52 1.2×	17	822
Jonathon LeFaive United States	8	462 1.5×	283 1.8×	94 1.4×	63 1.3×	55 1.3×	10	793
Johanne Marie Justesen Denmark	14	240 0.8×	162 1.0×	84 1.3×	68 1.4×	83 2.0×	20	531

Countries citing papers authored by Anthony Marcketta

Since Specialization

Citations

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

Fields of papers citing papers by Anthony Marcketta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Marcketta

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

All Works

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7 of 7 papers shown

1.

Joseph, Tyler, Joelle Mbatchou, Arkopravo Ghosh, et al.. (2025). Computationally efficient meta-analysis of gene-based tests using summary statistics in large-scale genetic studies. Nature Genetics. 57(12). 3193–3200.

2.

Gaynor, Sheila M., Tyler Joseph, Yuxin Zou, et al.. (2024). Yield of genetic association signals from genomes, exomes and imputation in the UK Biobank. Nature Genetics. 56(11). 2345–2351. 6 indexed citations

3.

Ziyatdinov, Andrey, Joelle Mbatchou, Anthony Marcketta, et al.. (2024). Joint testing of rare variant burden scores using non-negative least squares. The American Journal of Human Genetics. 111(10). 2139–2149. 4 indexed citations

4.

Gao, Chuan, Anthony Marcketta, Joshua Backman, et al.. (2021). Genome‐wide association analysis of serum alanine and aspartate aminotransferase, and the modifying effects of BMI in 388k European individuals. Genetic Epidemiology. 45(6). 664–681. 9 indexed citations

5.

Kim, Hye In, Bin Ye, Jeffrey Staples, et al.. (2021). Genome-wide survey of parent-of-origin-specific associations across clinical traits derived from electronic health records. SHILAP Revista de lepidopterología. 2(3). 100039–100039. 3 indexed citations

6.

Mbatchou, Joelle, Leland Barnard, Joshua Backman, et al.. (2021). Computationally efficient whole-genome regression for quantitative and binary traits. Nature Genetics. 53(7). 1097–1103. 512 indexed citations breakdown →

7.

Kong, Yu, Esther R. Berko, Anthony Marcketta, et al.. (2018). Detecting, quantifying, and discriminating the mechanism of mosaic chromosomal aneuploidies using MAD-seq. Genome Research. 28(7). 1039–1052. 3 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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