Faraz Hach

17.2k total citations
40 papers, 926 citations indexed

About

Faraz Hach is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Faraz Hach has authored 40 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Artificial Intelligence. Recurrent topics in Faraz Hach's work include Genomics and Phylogenetic Studies (20 papers), Algorithms and Data Compression (8 papers) and Genomic variations and chromosomal abnormalities (7 papers). Faraz Hach is often cited by papers focused on Genomics and Phylogenetic Studies (20 papers), Algorithms and Data Compression (8 papers) and Genomic variations and chromosomal abnormalities (7 papers). Faraz Hach collaborates with scholars based in Canada, United States and Türkiye. Faraz Hach's co-authors include Can Alkan, S. Cenk Şahinalp, Ibrahim Numanagić, Evan E. Eichler, Iman Hajirasouliha, Fereydoun Hormozdiari, Deniz Yörükoğlu, Ehsan Haghshenas, S. Cenk Şahinalp and Phuong Dao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Faraz Hach

37 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Faraz Hach Canada	17	730	232	226	224	204	40	926
Paola Bonizzoni Italy	19	751 1.0×	84 0.4×	245 1.1×	96 0.4×	243 1.2×	96	954
Pegah Tootoonchi Afshar United States	8	997 1.4×	210 0.9×	380 1.7×	347 1.5×	85 0.4×	12	1.5k
Manuel Holtgrewe Germany	15	598 0.8×	77 0.3×	344 1.5×	105 0.5×	158 0.8×	37	927
Abhishek Mitra United States	11	539 0.7×	64 0.3×	89 0.4×	114 0.5×	106 0.5×	20	825
Yongbo Wang China	20	817 1.1×	192 0.8×	69 0.3×	214 1.0×	31 0.2×	53	1.2k
Peter Krusche United Kingdom	9	914 1.3×	250 1.1×	469 2.1×	457 2.0×	59 0.3×	15	1.5k
Dina Zielinski United States	10	905 1.2×	56 0.2×	194 0.9×	41 0.2×	119 0.6×	16	1.1k
Xiguo Yuan China	17	622 0.9×	44 0.2×	411 1.8×	265 1.2×	135 0.7×	72	1.0k
Giuseppe Narzisi United States	15	624 0.9×	101 0.4×	278 1.2×	156 0.7×	75 0.4×	29	1.0k
Alexander Ku United States	7	504 0.7×	113 0.5×	306 1.4×	146 0.7×	258 1.3×	11	1.0k

Countries citing papers authored by Faraz Hach

Since Specialization

Citations

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

Fields of papers citing papers by Faraz Hach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faraz Hach

This figure shows the co-authorship network connecting the top 25 collaborators of Faraz Hach. A scholar is included among the top collaborators of Faraz Hach 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 Faraz Hach. Faraz Hach 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

Huang, Zhiquan, Sonia H.Y. Kung, Hans Adomat, et al.. (2025). FGF12 Enhances Prostate Cancer Cell Survival via the YB1-lncRNA Axis. Cells. 14(22). 1828–1828.

Kung, Sonia H.Y., Robert H. Bell, Anne Haegert, et al.. (2025). 3D Bioprinted Coaxial Testis Model Using Human Induced Pluripotent Stem Cells:A Step Toward Bicompartmental Cytoarchitecture and Functionalization. Advanced Healthcare Materials. 14(10). e2402606–e2402606.

Seo, Ji-Heui, Claudia Giambartolomei, Geoffrey M. Nelson, et al.. (2024). Decoding the epigenetics and chromatin loop dynamics of androgen receptor-mediated transcription. Nature Communications. 15(1). 9494–9494. 4 indexed citations

Kung, Sonia H.Y., et al.. (2024). A novel sorting method for the enrichment of early human spermatocytes from clinical biopsies. PubMed. 5(2). 130–140. 1 indexed citations

Haegert, Anne, Tunç Morova, Luke Witherspoon, et al.. (2023). Differentiation of Peritubular Myoid‐Like Cells from Human Induced Pluripotent Stem Cells. Advanced Biology. 7(7). e2200322–e2200322. 5 indexed citations

Witherspoon, Luke, et al.. (2023). Molecular mechanisms of cellular dysfunction in testes from men with non-obstructive azoospermia. Nature Reviews Urology. 21(2). 67–90. 20 indexed citations

Morova, Tunç, Yi Ding, Chia-Chi Flora Huang, et al.. (2022). Optimized high-throughput screening of non-coding variants identified from genome-wide association studies. Nucleic Acids Research. 51(3). e18–e18. 8 indexed citations

Xie, Ning, et al.. (2022). Freddie: annotation-independent detection and discovery of transcriptomic alternative splicing isoforms using long-read sequencing. Nucleic Acids Research. 51(2). e11–e11. 10 indexed citations

Alkan, Can, et al.. (2022). Fast characterization of segmental duplication structure in multiple genome assemblies. Algorithms for Molecular Biology. 17(1). 4–4. 14 indexed citations

10.

Chauve, Cédric, et al.. (2022). Fast and accurate matching of cellular barcodes across short-reads and long-reads of single-cell RNA-seq experiments. iScience. 25(7). 104530–104530. 9 indexed citations

11.

Wittler, Roland, et al.. (2021). Detecting high-scoring local alignments in pangenome graphs. Bioinformatics. 37(16). 2266–2274. 6 indexed citations

12.

Malikić, Salem, Farid Rashidi Mehrabadi, Simone Ciccolella, et al.. (2019). PhISCS: a combinatorial approach for subperfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data. Genome Research. 29(11). 1860–1877. 47 indexed citations

13.

Lin, Yen‐Yi, Phineas T. Hamilton, S. Cenk Şahinalp, et al.. (2017). Mutational Analysis of Gene Fusions Predicts Novel MHC Class I–Restricted T-Cell Epitopes and Immune Signatures in a Subset of Prostate Cancer. Clinical Cancer Research. 23(24). 7596–7607. 17 indexed citations

14.

Gawronski, Alexander, Faraz Hach, Sujun Li, et al.. (2017). Computational identification of micro-structural variations and their proteogenomic consequences in cancer. Bioinformatics. 34(10). 1672–1681. 8 indexed citations

15.

Numanagić, Ibrahim, James Bonfield, Faraz Hach, et al.. (2016). Comparison of high-throughput sequencing data compression tools. Nature Methods. 13(12). 1005–1008. 67 indexed citations

16.

Lee, Donghyuk, Farhad Hormozdiari, Hongyi Xin, et al.. (2014). Fast and accurate mapping of Complete Genomics reads. Methods. 79-80. 3–10. 5 indexed citations

17.

Hach, Faraz, Iman Sarrafi, Farhad Hormozdiari, et al.. (2014). mrsFAST-Ultra: a compact, SNP-aware mapper for high performance sequencing applications. Nucleic Acids Research. 42(W1). W494–W500. 39 indexed citations

18.

Hach, Faraz, Ibrahim Numanagić, Can Alkan, & S. Cenk Şahinalp. (2012). SCALCE: boosting sequence compression algorithms using locally consistent encoding. Bioinformatics. 28(23). 3051–3057. 92 indexed citations

19.

Hormozdiari, Farhad, Faraz Hach, S. Cenk Şahinalp, Evan E. Eichler, & Can Alkan. (2011). Sensitive and fast mapping of di-base encoded reads. Bioinformatics. 27(14). 1915–1921. 12 indexed citations

20.

Hormozdiari, Fereydoun, Can Alkan, Mario Ventura, et al.. (2010). Alu repeat discovery and characterization within human genomes. Genome Research. 21(6). 840–849. 81 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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