William H. Majoros

23.8k total citations · 1 hit paper
36 papers, 3.5k citations indexed

About

William H. Majoros is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, William H. Majoros has authored 36 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in William H. Majoros's work include RNA and protein synthesis mechanisms (14 papers), Genomics and Phylogenetic Studies (12 papers) and Genomics and Chromatin Dynamics (9 papers). William H. Majoros is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), Genomics and Phylogenetic Studies (12 papers) and Genomics and Chromatin Dynamics (9 papers). William H. Majoros collaborates with scholars based in United States, Germany and Italy. William H. Majoros's co-authors include Steven L. Salzberg, Mihaela Pertea, Uwe Ohler, Timothy E. Reddy, Charles A. Gersbach, Ami M. Kabadi, Pratiksha I. Thakore, David G. Ousterout, Jen‐Tsan Chi and Mark Yandell and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

William H. Majoros

34 papers receiving 3.5k 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.

TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders

2004 1.2k citations William H. Majoros, Mihaela Pertea et al. Bioinformatics profile →

Peers

William H. Majoros

GENET

IMMUN

Michael Lawrence United States

Liliana Florea United States

P. Julien Switzerland

Fernando García-Alcalde Spain

Albert J. Vilella United Kingdom

Rémy Bruggmann Switzerland

Christian Iseli Switzerland

Laura Elnitski United States

Wojciech Makałowski Germany

Han Fang United States

Michael Lawrence United States

William H. Majoros

2.9k ×1.2

654 ×0.9

812 ×1.2

GENET

750 ×1.4

369 ×1.4

IMMUN

Citations per year, relative to William H. Majoros William H. Majoros (= 1×) peers Michael Lawrence

Countries citing papers authored by William H. Majoros

Since Specialization

Citations

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

Fields of papers citing papers by William H. Majoros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William H. Majoros. 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 William H. Majoros. The network helps show where William H. Majoros may publish in the future.

Co-authorship network of co-authors of William H. Majoros

This figure shows the co-authorship network connecting the top 25 collaborators of William H. Majoros. A scholar is included among the top collaborators of William H. Majoros 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 William H. Majoros. William H. Majoros 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

Reddy, Timothy E., et al.. (2025). Bayesian estimation of allele-specific expression in the presence of phasing uncertainty. Bioinformatics. 41(6).

Kim, Young‐Sook, Graham D. Johnson, Alejandro Barrera, et al.. (2021). Correcting signal biases and detecting regulatory elements in STARR-seq data. Genome Research. 31(5). 877–889. 14 indexed citations

Liu, Siyan, Jacqueline N. Robinson-Hamm, William H. Majoros, et al.. (2021). Full-length dystrophin restoration via targeted exon integration by AAV-CRISPR in a humanized mouse model of Duchenne muscular dystrophy. Molecular Therapy. 29(11). 3243–3257. 48 indexed citations

Edsall, Lee, Alejandro Berrío, William H. Majoros, et al.. (2019). Evaluating Chromatin Accessibility Differences Across Multiple Primate Species Using a Joint Modeling Approach. Genome Biology and Evolution. 11(10). 3035–3053. 9 indexed citations

Majoros, William H., Young‐Sook Kim, Alejandro Barrera, et al.. (2019). Bayesian estimation of genetic regulatory effects in high-throughput reporter assays. Bioinformatics. 36(2). 331–338. 2 indexed citations

Johnson, Graham D., Alejandro Barrera, Ian C. McDowell, et al.. (2018). Human genome-wide measurement of drug-responsive regulatory activity. Nature Communications. 9(1). 5317–5317. 29 indexed citations

Majoros, William H., Carson Holt, Michael S. Campbell, et al.. (2018). Predicting gene structure changes resulting from genetic variants via exon definition features. Bioinformatics. 34(21). 3616–3623. 5 indexed citations

D’Ippolito, Anthony, Ian C. McDowell, Alejandro Barrera, et al.. (2018). Pre-established Chromatin Interactions Mediate the Genomic Response to Glucocorticoids. Cell Systems. 7(2). 146–160.e7. 61 indexed citations

McDowell, Ian C., Alejandro Barrera, Anthony D’Ippolito, et al.. (2018). Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding. Genome Research. 28(9). 1272–1284. 79 indexed citations

10.

Gussow, Ayal B., Brett Copeland, Ryan S. Dhindsa, et al.. (2017). Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics. PLoS ONE. 12(8). e0181604–e0181604. 135 indexed citations

11.

Snyder‐Mackler, Noah, William H. Majoros, Michael L. Yuan, et al.. (2016). Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples. Genetics. 203(2). 699–714. 61 indexed citations

12.

Ousterout, David G., Ami M. Kabadi, Pratiksha I. Thakore, et al.. (2015). Multiplex CRISPR/Cas9-based genome editing for correction of dystrophin mutations that cause Duchenne muscular dystrophy. Nature Communications. 6(1). 6244–6244. 338 indexed citations

13.

Vockley, Christopher M., Cong Guo, William H. Majoros, et al.. (2015). Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort. Genome Research. 25(8). 1206–1214. 70 indexed citations

14.

LaMonte, Gregory, Nisha Philip, Joseph M. Reardon, et al.. (2012). Translocation of Sickle Cell Erythrocyte MicroRNAs into Plasmodium falciparum Inhibits Parasite Translation and Contributes to Malaria Resistance. Cell Host & Microbe. 12(2). 187–199. 235 indexed citations

15.

Rach, Elizabeth A., Hsiang‐Yu Yuan, William H. Majoros, Pavel Tomančák, & Uwe Ohler. (2009). Motif composition, conservation and condition-specificity of single and alternative transcription start sites in the Drosophila genome. Genome biology. 10(7). R73–R73. 74 indexed citations

16.

Majoros, William H. & Uwe Ohler. (2007). Spatial preferences of microRNA targets in 3' untranslated regions. BMC Genomics. 8(1). 152–152. 97 indexed citations

17.

Gottwein, Eva, Neelanjan Mukherjee, Christoph Sachse, et al.. (2007). A viral microRNA functions as an orthologue of cellular miR-155. Nature. 450(7172). 1096–1099. 464 indexed citations

18.

Majoros, William H., Mihaela Pertea, Arthur L. Delcher, & Steven L. Salzberg. (2005). Efficient decoding algorithms for generalized hidden Markov model gene finders. BMC Bioinformatics. 6(1). 16–16. 22 indexed citations

19.

Majoros, William H. & Steven L. Salzberg. (2004). An empirical analysis of training protocols for probabilistic gene finders. BMC Bioinformatics. 5(1). 206–206. 19 indexed citations

20.

Mi, Huaiyu, Michael J. Campbell, Apurva Narechania, et al.. (2003). Assessment of Genome-Wide Protein Function Classification for Drosophila melanogaster. Genome Research. 13(9). 2118–2128. 35 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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