Omar Wagih

2.9k total citations · 1 hit paper
17 papers, 1.4k citations indexed

About

Omar Wagih is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Omar Wagih has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Genetics and 2 papers in Ecology. Recurrent topics in Omar Wagih's work include Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (5 papers) and Genomics and Rare Diseases (4 papers). Omar Wagih is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (5 papers) and Genomics and Rare Diseases (4 papers). Omar Wagih collaborates with scholars based in United Kingdom, Canada and United States. Omar Wagih's co-authors include Jüri Reimand, Gary D. Bader, Leopold Parts, Pedro Beltrão, Yasushi Ishihama, Naoyuki Sugiyama, Robert P. St.Onge, Sundari Suresh, Manhong Wu and Lars M. Steinmetz and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Nature Methods.

In The Last Decade

Omar Wagih

17 papers receiving 1.4k 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.

ggseqlogo: a versatile R package for drawing sequence logos

2017 523 citations Omar Wagih Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Omar Wagih United Kingdom	14	1.1k	211	137	108	96	17	1.4k
Gábor Erdős Hungary	9	1.5k 1.3×	133 0.6×	139 1.0×	57 0.5×	79 0.8×	15	1.7k
Javier Delgado Spain	18	900 0.8×	178 0.8×	59 0.4×	64 0.6×	128 1.3×	33	1.3k
Norbert Lehming Singapore	19	1.2k 1.0×	320 1.5×	113 0.8×	92 0.9×	75 0.8×	40	1.4k
Phil Hieter Canada	11	1.6k 1.4×	204 1.0×	234 1.7×	81 0.8×	70 0.7×	14	2.0k
Shukun Luo China	13	986 0.9×	126 0.6×	58 0.4×	109 1.0×	44 0.5×	26	1.3k
Yu‐He Liang China	19	889 0.8×	129 0.6×	172 1.3×	111 1.0×	119 1.2×	57	1.2k
Mingzi M. Zhang United States	17	1.2k 1.0×	132 0.6×	87 0.6×	36 0.3×	158 1.6×	37	1.7k
Elizabeth J. Grayhack United States	28	2.9k 2.6×	330 1.6×	187 1.4×	139 1.3×	107 1.1×	43	3.2k
Carlos Fernández‐Tornero Spain	20	1.1k 1.0×	247 1.2×	117 0.9×	33 0.3×	122 1.3×	38	1.4k

Countries citing papers authored by Omar Wagih

Since Specialization

Citations

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

Fields of papers citing papers by Omar Wagih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omar Wagih

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

All Works

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17 of 17 papers shown

Lau, Tammy T. Y., et al.. (2023). A curated census of pathogenic and likely pathogenic UTR variants and evaluation of deep learning models for variant effect prediction. Frontiers in Molecular Biosciences. 10. 1257550–1257550. 4 indexed citations

Wagih, Omar, Marco Galardini, Bede P. Busby, et al.. (2018). A resource of variant effect predictions of single nucleotide variants in model organisms. Molecular Systems Biology. 14(12). e8430–e8430. 57 indexed citations

Chen, Yuan, Rhys A. Farrer, Charles Giamberardino, et al.. (2017). Microevolution of Serial Clinical Isolates ofCryptococcus neoformansvar.grubiiandC. gattii. mBio. 8(2). 56 indexed citations

Wagih, Omar, et al.. (2017). Identifications of Putative PKA Substrates with Quantitative Phosphoproteomics and Primary-Sequence-Based Scoring. Journal of Proteome Research. 16(4). 1825–1830. 18 indexed citations

Gonçalves, Emanuel, Mattia Zampieri, Omar Wagih, et al.. (2017). Systematic Analysis of Transcriptional and Post-transcriptional Regulation of Metabolism in Yeast. PLoS Computational Biology. 13(1). e1005297–e1005297. 26 indexed citations

Wagih, Omar. (2017). ggseqlogo: a versatile R package for drawing sequence logos. Bioinformatics. 33(22). 3645–3647. 523 indexed citations breakdown →

Galardini, Marco, Alexandra Koumoutsi, Lucía Herrera-Domínguez, et al.. (2017). Phenotype inference in an Escherichia coli strain panel. eLife. 6. 29 indexed citations

Kumar, Ashwani, Natalia Beloglazova, Cedoljub Bundalovic-Torma, et al.. (2016). Conditional Epistatic Interaction Maps Reveal Global Functional Rewiring of Genome Integrity Pathways in Escherichia coli. Cell Reports. 14(3). 648–661. 29 indexed citations

Smith, Justin, Sundari Suresh, Ulrich Schlecht, et al.. (2016). Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design. Genome biology. 17(1). 45–45. 155 indexed citations

10.

Johnson, Jeffrey R., Silvia Santos, Tasha L. Johnson, et al.. (2015). Prediction of Functionally Important Phospho-Regulatory Events in Xenopus laevis Oocytes. PLoS Computational Biology. 11(8). e1004362–e1004362. 11 indexed citations

11.

Wagih, Omar, Naoyuki Sugiyama, Yasushi Ishihama, & Pedro Beltrão. (2015). Uncovering Phosphorylation-Based Specificities through Functional Interaction Networks. Molecular & Cellular Proteomics. 15(1). 236–245. 58 indexed citations

12.

Wagih, Omar, Jüri Reimand, & Gary D. Bader. (2015). MIMP: predicting the impact of mutations on kinase-substrate phosphorylation. Nature Methods. 12(6). 531–533. 55 indexed citations

13.

Reimand, Jüri, Omar Wagih, & Gary D. Bader. (2015). Evolutionary Constraint and Disease Associations of Post-Translational Modification Sites in Human Genomes. PLoS Genetics. 11(1). e1004919–e1004919. 51 indexed citations

14.

Wagih, Omar & Leopold Parts. (2015). Genetic Interaction Scoring Procedure for Bacterial Species. Advances in experimental medicine and biology. 883. 169–185. 1 indexed citations

15.

Wagih, Omar & Leopold Parts. (2014). gitter: A Robust and Accurate Method for Quantification of Colony Sizes From Plate Images. G3 Genes Genomes Genetics. 4(3). 547–552. 79 indexed citations

16.

Wagih, Omar, Matej Ušaj, Anastasia Baryshnikova, et al.. (2013). SGAtools: one-stop analysis and visualization of array-based genetic interaction screens. Nucleic Acids Research. 41(W1). W591–W596. 110 indexed citations

17.

Reimand, Jüri, Omar Wagih, & Gary D. Bader. (2013). The mutational landscape of phosphorylation signaling in cancer. Scientific Reports. 3(1). 2651–2651. 122 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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