Ali Bashir

10.0k total citations
45 papers, 1.6k citations indexed

About

Ali Bashir is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Ali Bashir has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Genetics and 7 papers in Epidemiology. Recurrent topics in Ali Bashir's work include Genomics and Phylogenetic Studies (14 papers), Genomic variations and chromosomal abnormalities (10 papers) and Genomics and Rare Diseases (6 papers). Ali Bashir is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Genomic variations and chromosomal abnormalities (10 papers) and Genomics and Rare Diseases (6 papers). Ali Bashir collaborates with scholars based in United States, United Kingdom and India. Ali Bashir's co-authors include Vineet Bafna, Benjamin J. Raphael, Suzanne Sindi, Inga Peter, Steven H. Itzkowitz, Elena Helman, Jianzhong Hu, Vikas Bansal, Ajay Ummat and Zhiheng Pei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Ali Bashir

44 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Bashir United States 22 962 445 266 137 135 45 1.6k
Xiaoqing Sun China 24 1.5k 1.6× 272 0.6× 198 0.7× 83 0.6× 136 1.0× 86 2.4k
Matthew Boitano United States 16 1.3k 1.4× 540 1.2× 366 1.4× 131 1.0× 281 2.1× 20 2.0k
Amy Huei‐Yi Lee Canada 21 667 0.7× 261 0.6× 459 1.7× 51 0.4× 135 1.0× 74 1.7k
Hanni Willenbrock Denmark 14 1.2k 1.3× 424 1.0× 201 0.8× 343 2.5× 102 0.8× 22 1.9k
Thidathip Wongsurawat Thailand 22 1.0k 1.1× 149 0.3× 133 0.5× 299 2.2× 140 1.0× 112 1.7k
Hang Phan United Kingdom 21 715 0.7× 371 0.8× 124 0.5× 157 1.1× 227 1.7× 48 1.8k
Wei-Sheng Wu Taiwan 26 1.7k 1.8× 243 0.5× 222 0.8× 347 2.5× 243 1.8× 108 2.6k
Daniel J. Turner United Kingdom 17 1.2k 1.2× 365 0.8× 386 1.5× 123 0.9× 581 4.3× 23 2.1k
Shannan J. Ho Sui United States 17 1.1k 1.1× 207 0.5× 147 0.6× 120 0.9× 428 3.2× 33 1.9k
Sandip Paul India 18 1.2k 1.3× 235 0.5× 97 0.4× 51 0.4× 179 1.3× 45 1.8k

Countries citing papers authored by Ali Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Ali Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Bashir

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

All Works

20 of 20 papers shown
1.
Bryant, Drew, Xiaoyu Qu, Avinava Dubey, et al.. (2024). Karyotype AI for Precision Oncology. Blood. 144(Supplement 1). 1544–1544.
2.
Linderman, Michael D., Yiran Shi, Peter J. Hansen, et al.. (2024). NPSV-deep: a deep learning method for genotyping structural variants in short read genome sequencing data. Bioinformatics. 40(3). 2 indexed citations
3.
Fang, Min, Drew Bryant, Xiaoyu Qu, et al.. (2023). 42. Automated deep aberration detection from chromosome karyotype images. Cancer Genetics. 278-279. 13–13. 1 indexed citations
4.
Ahadi, Sara, Kenneth A. Wilson, Boris Babenko, et al.. (2023). Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock. eLife. 12. 26 indexed citations
5.
Khan, Muhammad Attique, Ali Bashir, Kiran Jabeen, et al.. (2023). Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes. Frontiers in Medicine. 10. 1330218–1330218. 15 indexed citations
6.
Gibson, William S., Oscar L. Rodriguez, Kaitlyn Shields, et al.. (2022). Characterization of the immunoglobulin lambda chain locus from diverse populations reveals extensive genetic variation. Genes and Immunity. 24(1). 21–31. 19 indexed citations
7.
Bashir, Ali, Qin Yang, Jinpeng Wang, et al.. (2021). Machine learning guided aptamer refinement and discovery. Nature Communications. 12(1). 2366–2366. 97 indexed citations
8.
Rodriguez, Oscar L., William S. Gibson, Tom Parks, et al.. (2020). A Novel Framework for Characterizing Genomic Haplotype Diversity in the Human Immunoglobulin Heavy Chain Locus. Frontiers in Immunology. 11. 2136–2136. 63 indexed citations
9.
El‐Shamy, Ahmed, Matthew Pendleton, Francis J. Eng, et al.. (2016). Impact of HCV core gene quasispecies on hepatocellular carcinoma risk among HALT-C trial patients. Scientific Reports. 6(1). 27025–27025. 17 indexed citations
10.
Franzén, Oscar, Jianzhong Hu, Xiuliang Bao, et al.. (2015). Improved OTU-picking using long-read 16S rRNA gene amplicon sequencing and generic hierarchical clustering. Microbiome. 3(1). 43–43. 72 indexed citations
11.
Linderman, Michael D., Ali Bashir, George A. Díaz, et al.. (2015). Preparing the next generation of genomicists: a laboratory-style course in medical genomics. BMC Medical Genomics. 8(1). 47–47. 14 indexed citations
12.
Sanderson, Saskia C., Michael D. Linderman, Randi E. Zinberg, et al.. (2015). How do students react to analyzing their own genomes in a whole-genome sequencing course?: outcomes of a longitudinal cohort study. Genetics in Medicine. 17(11). 866–874. 21 indexed citations
13.
Bashir, Ali, Yuichi Ohsita, & Masayuki Murata. (2015). Abstraction Layer Based Distributed Architecture for Virtualized Data Centers. 4 indexed citations
14.
Altman, Deena R., Robert Sebra, Jonathan Hand, et al.. (2014). Transmission of Methicillin-Resistant Staphylococcus aureus via Deceased Donor Liver Transplantation Confirmed by Whole Genome Sequencing. American Journal of Transplantation. 14(11). 2640–2644. 34 indexed citations
15.
Israelow, Benjamin, Gavriel Mullokandov, Judith Agudo, et al.. (2014). Hepatitis C virus genetics affects miR-122 requirements and response to miR-122 inhibitors. Nature Communications. 5(1). 5408–5408. 57 indexed citations
16.
Lo, Christine, Ali Bashir, Vikas Bansal, & Vineet Bafna. (2011). Strobe sequence design for haplotype assembly. BMC Bioinformatics. 12(S1). 17 indexed citations
17.
Bashir, Ali, Vikas Bansal, & Vineet Bafna. (2010). Designing deep sequencing experiments: detecting structural variation and estimating transcript abundance. BMC Genomics. 11(1). 385–385. 18 indexed citations
18.
Bashir, Ali, Stanislav Volik, Colin C. Collins, Vineet Bafna, & Benjamin J. Raphael. (2008). Evaluation of Paired-End Sequencing Strategies for Detection of Genome Rearrangements in Cancer. PLoS Computational Biology. 4(4). e1000051–e1000051. 55 indexed citations
19.
Bansal, Vikas, Ali Bashir, & Vineet Bafna. (2006). Evidence for large inversion polymorphisms in the human genome from HapMap data. Genome Research. 17(2). 219–230. 61 indexed citations
20.
Bashir, Ali, Chun Ye, Alkes L. Price, & Vineet Bafna. (2005). Orthologous repeats and mammalian phylogenetic inference. Genome Research. 15(7). 998–1006. 29 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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