Medhat Mahmoud

5.2k total citations · 2 hit papers
22 papers, 799 citations indexed

About

Medhat Mahmoud is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Medhat Mahmoud has authored 22 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Genetics and 3 papers in Ecology. Recurrent topics in Medhat Mahmoud's work include Genomics and Phylogenetic Studies (13 papers), Genomics and Rare Diseases (7 papers) and Molecular Biology Techniques and Applications (4 papers). Medhat Mahmoud is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Genomics and Rare Diseases (7 papers) and Molecular Biology Techniques and Applications (4 papers). Medhat Mahmoud collaborates with scholars based in United States, United Kingdom and Switzerland. Medhat Mahmoud's co-authors include Fritz J. Sedlazeck, Christophe Dessimoz, Ninon Mounier, Nastassia Gobet, Wojciech M. Karłowski, Sairam Behera, Tomasz Twardowski, Marek Żywicki, Luis F. Paulin and Todd J. Treangen and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Journal of Virology.

In The Last Decade

Medhat Mahmoud

21 papers receiving 793 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.

Structural variant calling: the long and the short of it

2019 354 citations Medhat Mahmoud, Nastassia Gobet et al. Genome biology profile →
Detection of mosaic and population-level structural variants with Sniffles2

2024 118 citations Moritz Smolka, Luis F. Paulin et al. Nature Biotechnology profile →

Peers

Medhat Mahmoud

MB

GENET

PS

CR

ECOLO

Moritz Smolka Austria

Simon Ardui Belgium

Eleanor Howard United Kingdom

Vicky Cho Australia

Joshua Paul United States

Shuoguo Wang United States

Joanna L. Parmley United Kingdom

Xiaoqi Shi China

Alessandro Brozzi Italy

Francisco J. Sánchez‐Luque Spain

Moritz Smolka Austria

Medhat Mahmoud

705 ×1.4

MB

416 ×1.1

GENET

352 ×1.9

PS

127 ×1.1

CR

68 ×1.4

ECOLO

Citations per year, relative to Medhat Mahmoud Medhat Mahmoud (= 1×) peers Moritz Smolka

Countries citing papers authored by Medhat Mahmoud

Since Specialization

Citations

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

Fields of papers citing papers by Medhat Mahmoud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Medhat Mahmoud

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

20 of 20 papers shown

1.

Mahmoud, Medhat, et al.. (2025). A Hitchhiker's Guide to long-read genomic analysis. Genome Research. 35(4). 545–558. 2 indexed citations

2.

Zhang, Hui, Paulina Prorok, Medhat Mahmoud, et al.. (2025). MeCP2-driven chromatin organization controls nuclear stiffness. Communications Biology. 9(1). 60–60.

3.

Carvalho, Claudia M.B., Jesper Eisfeldt, Medhat Mahmoud, et al.. (2025). 11: To remap or not to remap: the relevance of the genome references to resolve rare inversions. Genetics in Medicine Open. 3. 101928–101928. 1 indexed citations

4.

Aganezov, Sergey, Medhat Mahmoud, John Beaulaurier, et al.. (2024). MethPhaser: methylation-based long-read haplotype phasing of human genomes. Nature Communications. 15(1). 5327–5327. 7 indexed citations

5.

Smolka, Moritz, Luis F. Paulin, Christopher M. Grochowski, et al.. (2024). Detection of mosaic and population-level structural variants with Sniffles2. Nature Biotechnology. 42(10). 1571–1580. 118 indexed citations breakdown →

6.

Mahmoud, Medhat, Yongqing Huang, Kiran Garimella, et al.. (2024). Utility of long-read sequencing for All of Us. Nature Communications. 15(1). 837–837. 43 indexed citations

7.

Akagi, Keiko, David E. Symer, Medhat Mahmoud, et al.. (2023). Intratumoral Heterogeneity and Clonal Evolution Induced by HPV Integration. Cancer Discovery. 13(4). 910–927. 33 indexed citations

8.

Behera, Sairam, Jonathon LeFaive, Peter Orchard, et al.. (2023). FixItFelix: improving genomic analysis by fixing reference errors. Genome biology. 24(1). 31–31. 13 indexed citations

9.

Majidian, Sina, et al.. (2023). Genomic variant benchmark: if you cannot measure it, you cannot improve it. Genome biology. 24(1). 221–221. 13 indexed citations

10.

Harris, R. Alan, Muthuswamy Raveendran, Fritz J. Sedlazeck, et al.. (2022). Construction of a new chromosome-scale, long-read reference genome assembly for the Syrian hamster, Mesocricetus auratus. GigaScience. 11. 8 indexed citations

11.

Liu, Yunxi, et al.. (2022). Rescuing low frequency variants within intra-host viral populations directly from Oxford Nanopore sequencing data. Nature Communications. 13(1). 1321–1321. 18 indexed citations

12.

Sapoval, Nicolae, Medhat Mahmoud, Michael D. Jochum, et al.. (2021). SARS-CoV-2 genomic diversity and the implications for qRT-PCR diagnostics and transmission. Genome Research. 31(4). 635–644. 29 indexed citations

13.

Mahmoud, Medhat, et al.. (2021). Vulcan: Improved long-read mapping and structural variant calling via dual-mode alignment. GigaScience. 10(9). 14 indexed citations

14.

Mahmoud, Medhat, HarshaVardhan Doddapaneni, Winston Timp, & Fritz J. Sedlazeck. (2021). PRINCESS: comprehensive detection of haplotype resolved SNVs, SVs, and methylation. Genome biology. 22(1). 268–268. 19 indexed citations

15.

Murdock, David R., Jill A. Rosenfeld, Lindsay C. Burrage, et al.. (2021). Long-read sequencing for diagnosis in the Undiagnosed Diseases Network. Molecular Genetics and Metabolism. 132. S253–S254. 1 indexed citations

16.

Mahmoud, Medhat, et al.. (2019). Structural variant calling: the long and the short of it. Genome biology. 20(1). 246–246. 354 indexed citations breakdown →

17.

Mahmoud, Medhat, et al.. (2019). Approaches to Whole Mitochondrial Genome Sequencing on the Oxford Nanopore MinION. Current Protocols in Human Genetics. 104(1). e94–e94. 19 indexed citations

18.

Mahmoud, Medhat, Marek Żywicki, Tomasz Twardowski, & Wojciech M. Karłowski. (2017). Efficiency of PacBio long read correction by 2nd generation Illumina sequencing. Genomics. 111(1). 43–49. 35 indexed citations

19.

Schade, Matthias A., et al.. (2015). Role of gB and pUS3 in Equine Herpesvirus 1 Transfer between Peripheral Blood Mononuclear Cells and Endothelial Cells: a DynamicIn VitroModel. Journal of Virology. 89(23). 11899–11908. 19 indexed citations

20.

Mahmoud, Medhat. (2012). Genotype Imputation Based on Discriminant and Cluster Analysis. Duo Research Archive (University of Oslo). 7–14. 1 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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