Michael A. Eberle

13.7k total citations · 1 hit paper
49 papers, 4.6k citations indexed

About

Michael A. Eberle is a scholar working on Molecular Biology, Genetics and Geophysics. According to data from OpenAlex, Michael A. Eberle has authored 49 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 22 papers in Genetics and 6 papers in Geophysics. Recurrent topics in Michael A. Eberle's work include Genetic Associations and Epidemiology (13 papers), Genomics and Rare Diseases (8 papers) and Genomics and Phylogenetic Studies (7 papers). Michael A. Eberle is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Genomics and Rare Diseases (8 papers) and Genomics and Phylogenetic Studies (7 papers). Michael A. Eberle collaborates with scholars based in United States, United Kingdom and Canada. Michael A. Eberle's co-authors include Leonid Kruglyak, Deborah A. Nickerson, Christopher S. Carlson, Mark J. Rieder, Yi Qian, Joshua M. Akey, Joshua D. Smith, Mark D. Shriver, David Bentley and Donald W. Forsyth and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Michael A. Eberle

47 papers receiving 4.5k 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.

Selecting a Maximally Informative Set of Single-Nucleotide Polymorphisms for Association Analyses Using Linkage Disequilibrium

2004 1.2k citations Christopher S. Carlson, Michael A. Eberle et al. The American Journal of Human Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael A. Eberle United States	27	2.4k	2.1k	394	328	310	49	4.6k
Stacey B. Gabriel United States	11	1.6k 0.7×	1.7k 0.8×	418 1.1×	295 0.9×	197 0.6×	13	3.6k
Matthew DeFelice United States	5	2.4k 1.0×	2.0k 0.9×	504 1.3×	345 1.1×	491 1.6×	7	5.1k
Kirk E. Lohmueller United States	35	4.0k 1.7×	2.0k 1.0×	221 0.6×	338 1.0×	348 1.1×	73	6.2k
Brendan Blumenstiel United States	8	2.4k 1.0×	2.1k 1.0×	628 1.6×	346 1.1×	505 1.6×	12	5.4k
Andreas D. Baxevanis United States	39	1.3k 0.5×	3.7k 1.7×	291 0.7×	386 1.2×	221 0.7×	111	5.9k
Christian R. Marshall Canada	39	3.2k 1.3×	2.8k 1.3×	441 1.1×	266 0.8×	153 0.5×	142	5.4k
Jin Yu United States	12	3.0k 1.3×	3.0k 1.4×	748 1.9×	280 0.9×	379 1.2×	17	5.9k
Paul Shannon United States	23	1.6k 0.7×	3.0k 1.4×	508 1.3×	250 0.8×	247 0.8×	43	4.8k
Anish Kejariwal United States	7	1.0k 0.4×	2.4k 1.1×	381 1.0×	299 0.9×	353 1.1×	7	3.9k
Jennifer M. Lee United States	20	2.1k 0.9×	3.1k 1.5×	883 2.2×	366 1.1×	252 0.8×	47	5.3k

Countries citing papers authored by Michael A. Eberle

Since Specialization

Citations

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

Fields of papers citing papers by Michael A. Eberle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Eberle

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

All Works

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20 of 20 papers shown

Kronenberg, Zev, Khi Pin Chua, Guilherme De Sena Brandine, et al.. (2026). Hunting for microsatellite instability in long-read data with Owl. bioRxiv (Cold Spring Harbor Laboratory).

Saunders, Christopher T., James Holt, Daniel N. Baker, et al.. (2025). Sawfish: improving long-read structural variant discovery and genotyping with local haplotype modeling. Bioinformatics. 41(4). 2 indexed citations

Höps, Wolfram, Marjan M. Weiss, Ronny Derks, et al.. (2025). HiFi long-read genomes for difficult-to-detect, clinically relevant variants. The American Journal of Human Genetics. 112(2). 450–456. 6 indexed citations

English, Adam C., Egor Dolzhenko, Sean K. McKenzie, et al.. (2024). Analysis and benchmarking of small and large genomic variants across tandem repeats. Nature Biotechnology. 43(3). 431–442. 24 indexed citations

Rajan‐Babu, Indhu‐Shree, Egor Dolzhenko, Michael A. Eberle, & Jan M. Friedman. (2024). Sequence composition changes in short tandem repeats: heterogeneity, detection, mechanisms and clinical implications. Nature Reviews Genetics. 25(7). 476–499. 26 indexed citations

Weichhart, Georg, et al.. (2023). Enabling End-Users in Designing and Executing of Complex, Collaborative Robotic Processes. Applied System Innovation. 6(3). 56–56. 1 indexed citations

Harting, John, Emily Farrow, Isabelle Thiffault, et al.. (2023). Comprehensive SMN1 and SMN2 profiling for spinal muscular atrophy analysis using long-read PacBio HiFi sequencing. The American Journal of Human Genetics. 110(2). 240–250. 36 indexed citations

Toffoli, Marco, Xiaohong Chen, Fritz J. Sedlazeck, et al.. (2022). Comprehensive short and long read sequencing analysis for the Gaucher and Parkinson’s disease-associated GBA gene. Communications Biology. 5(1). 670–670. 17 indexed citations

Shen, Fei, Nina Gonzaludo, Alka Malhotra, et al.. (2021). Cyrius: accurate CYP2D6 genotyping using whole-genome sequencing data. The Pharmacogenomics Journal. 21(2). 251–261. 54 indexed citations

10.

Sanchis‐Juan, Alba, Courtney E. French, Isabelle Delon, et al.. (2020). Spinal muscular atrophy diagnosis and carrier screening from genome sequencing data. Genetics in Medicine. 22(5). 945–953. 79 indexed citations

11.

Dolzhenko, Egor, Mark F. Bennett, Phillip A. Richmond, et al.. (2020). ExpansionHunter Denovo: a computational method for locating known and novel repeat expansions in short-read sequencing data. Genome biology. 21(1). 102–102. 95 indexed citations

12.

Wright, Galen E.B., Jennifer A. Collins, Chris Kay, et al.. (2019). Length of Uninterrupted CAG, Independent of Polyglutamine Size, Results in Increased Somatic Instability, Hastening Onset of Huntington Disease. The American Journal of Human Genetics. 104(6). 1116–1126. 120 indexed citations

13.

Eberle, Michael A., Epameinondas Fritzilas, Peter Krusche, et al.. (2016). A reference data set of 5.4 million phased human variants validated by genetic inheritance from sequencing a three-generation 17-member pedigree. Genome Research. 27(1). 157–164. 220 indexed citations

14.

Mackelprang, Rachel, Robert Livingston, Michael A. Eberle, et al.. (2006). Sequence diversity, natural selection and linkage disequilibrium in the human T cell receptor alpha/delta locus. Human Genetics. 119(3). 255–266. 14 indexed citations

15.

Carlson, Christopher S., Daryl J. Thomas, Michael A. Eberle, et al.. (2005). Genomic regions exhibiting positive selection identified from dense genotype data. Genome Research. 15(11). 1553–1565. 214 indexed citations

16.

Sutter, Nathan B., Michael A. Eberle, Heidi G. Parker, et al.. (2004). Extensive and breed-specific linkage disequilibrium in Canis familiaris. Genome Research. 14(12). 2388–2396. 238 indexed citations

17.

Carlson, Christopher S., Michael A. Eberle, Mark J. Rieder, et al.. (2004). Selecting a Maximally Informative Set of Single-Nucleotide Polymorphisms for Association Analyses Using Linkage Disequilibrium. The American Journal of Human Genetics. 74(1). 106–120. 1221 indexed citations breakdown →

18.

Crawford, Dana C., Christopher S. Carlson, Mark J. Rieder, et al.. (2004). Haplotype Diversity across 100 Candidate Genes for Inflammation, Lipid Metabolism, and Blood Pressure Regulation in Two Populations. The American Journal of Human Genetics. 74(4). 610–622. 138 indexed citations

19.

Subrahmanyan, Lakshman, Michael A. Eberle, Andrew G. Clark, Leonid Kruglyak, & Deborah A. Nickerson. (2001). Sequence Variation and Linkage Disequilibrium in the Human T-Cell Receptor β (TCRB) Locus. The American Journal of Human Genetics. 69(2). 381–395. 47 indexed citations

20.

Eberle, Michael A. & Leonid Kruglyak. (2000). An analysis of strategies for discovery of single-nucleotide polymorphisms. Genetic Epidemiology. 19(S1). S29–S35. 37 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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