Hamza Farooq

3.6k total citations
26 papers, 243 citations indexed

About

Hamza Farooq is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Hamza Farooq has authored 26 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Genetics. Recurrent topics in Hamza Farooq's work include Glioma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Hamza Farooq is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Hamza Farooq collaborates with scholars based in Canada, United States and Türkiye. Hamza Farooq's co-authors include Christophe Lenglet, Tryphon T. Georgiou, Michael D. Taylor, Allen Tannenbaum, Yongxin Chen, Daniel F. Keefe, Junqian Xu, Essa Yacoub, Ghulam Rasool and Nidhal Bouaynaya and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Hamza Farooq

22 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamza Farooq Canada 10 101 52 44 35 30 26 243
Margherita Francescatto Italy 10 191 1.9× 25 0.5× 49 1.1× 34 1.0× 7 0.2× 20 345
Felipe Giuste United States 11 225 2.2× 82 1.6× 34 0.8× 25 0.7× 15 0.5× 36 519
Yongbin Chen China 11 233 2.3× 16 0.3× 94 2.1× 14 0.4× 53 1.8× 35 457
Stephan Scheidegger Switzerland 10 57 0.6× 152 2.9× 27 0.6× 58 1.7× 16 0.5× 25 365
Juha Kesseli Finland 10 237 2.3× 7 0.1× 45 1.0× 66 1.9× 66 2.2× 34 351
Guillemette Chapuisat France 11 72 0.7× 34 0.7× 41 0.9× 9 0.3× 16 0.5× 18 330
Andrée Delahaye‐Duriez France 14 330 3.3× 18 0.3× 24 0.5× 11 0.3× 15 0.5× 25 592
William D. Dunn United States 11 76 0.8× 210 4.0× 51 1.2× 143 4.1× 19 0.6× 16 449
Weichen Song China 12 257 2.5× 16 0.3× 61 1.4× 16 0.5× 19 0.6× 39 483
Gustav Ahlberg Denmark 13 163 1.6× 20 0.4× 9 0.2× 13 0.4× 26 0.9× 33 519

Countries citing papers authored by Hamza Farooq

Since Specialization
Citations

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

Fields of papers citing papers by Hamza Farooq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamza Farooq

This figure shows the co-authorship network connecting the top 25 collaborators of Hamza Farooq. A scholar is included among the top collaborators of Hamza Farooq 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 Hamza Farooq. Hamza Farooq 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.
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Tripathi, Aakash, Hamza Farooq, Joseph Johnson, et al.. (2025). Self-Normalizing Multi-Omics Neural Network for Pan-Cancer Prognostication. International Journal of Molecular Sciences. 26(15). 7358–7358. 2 indexed citations
3.
Li, Xiufeng, Anja Metzger, Johanna Moore, et al.. (2025). Development and Evaluation of ASL Imaging Protocol and Methods for Studies of Ischemic Events in the Swine Brain. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
4.
Lee, John J. Y., Michael J. Johnston, Hamza Farooq, et al.. (2024). 3D genome topology distinguishes molecular subgroups of medulloblastoma. The American Journal of Human Genetics. 111(12). 2720–2734. 1 indexed citations
5.
Johnston, Michael J., John J. Y. Lee, Hamza Farooq, et al.. (2023). Linked-read based analysis of the medulloblastoma genome. Frontiers in Oncology. 13. 1221611–1221611. 3 indexed citations
6.
Farooq, Hamza, et al.. (2022). Exploring robust architectures for deep artificial neural networks. Communications Engineering. 1(1). 10 indexed citations
7.
Farooq, Hamza, Christophe Lenglet, & Flavia Nelson. (2020). Robustness of Brain Structural Networks Is Affected in Cognitively Impaired MS Patients. Frontiers in Neurology. 11. 606478–606478. 8 indexed citations
8.
Hussain, Aftab, Hamed Alsulami, Nawab Hussain, & Hamza Farooq. (2020). NEWLY FIXED DISC RESULTS USING ADVANCED CONTRACTIONS ON F-METRIC SPACE. Journal of Applied Analysis & Computation. 10(6). 2313–2322. 11 indexed citations
9.
Farooq, Hamza, Yongxin Chen, Tryphon T. Georgiou, Allen Tannenbaum, & Christophe Lenglet. (2019). Network curvature as a hallmark of brain structural connectivity. Nature Communications. 10(1). 4937–4937. 42 indexed citations
10.
Maximov, Victor, et al.. (2019). Upregulation of the chromatin remodeler HELLS is mediated by YAP1 in Sonic Hedgehog Medulloblastoma. Scientific Reports. 9(1). 18 indexed citations
11.
Mamatjan, Yasin, Romina Nejad, Hamza Farooq, et al.. (2018). 5-Hydroxymethylcytosine preferentially targets genes upregulated in isocitrate dehydrogenase 1 mutant high-grade glioma. Acta Neuropathologica. 135(4). 617–634. 12 indexed citations
12.
El-Hamamy, Ibrahim, Maria Vladoiu, Laura Donovan, et al.. (2018). PDTM-21. MATCHING OF SINGLE CELL TRANSCRIPTOMICS FROM CEREBELLAR DEVELOPMENT IDENTIFIES PUTATIVE SUBGROUP SPECIFIC CELLS OF ORIGIN FOR MEDULLOBLASTOMA. Neuro-Oncology. 20(suppl_6). vi208–vi208. 1 indexed citations
13.
Tech, Katherine, Andrey P. Tikunov, Hamza Farooq, et al.. (2017). Pyruvate Kinase Inhibits Proliferation during Postnatal Cerebellar Neurogenesis and Suppresses Medulloblastoma Formation. Cancer Research. 77(12). 3217–3230. 37 indexed citations
14.
Badodi, Sara, Adrian M. Dubuc, Xinyu Zhang, et al.. (2017). Convergence of BMI1 and CHD7 on ERK Signaling in Medulloblastoma. Cell Reports. 21(10). 2772–2784. 25 indexed citations
15.
Farooq, Hamza, Junqian Xu, Daniel F. Keefe, et al.. (2016). Microstructure Imaging of Crossing (MIX) White Matter Fibers from diffusion MRI. Scientific Reports. 6(1). 38927–38927. 34 indexed citations
16.
Farooq, Hamza, Barry Vuong, Victor X. D. Yang, et al.. (2015). High-resolution imaging of the central nervous system. Progress in brain research. 218. 55–78. 4 indexed citations
17.
Jakubovic, Raphael, et al.. (2015). Accuracy of image-guided surgical navigation using near infrared (NIR) optical tracking. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9305. 93050U–93050U.
18.
19.
Farooq, Hamza. (2010). Cholistan and Cholistani Breed of Cattle. SHILAP Revista de lepidopterología. 11 indexed citations
20.
Rasool, Ghulam, et al.. (2010). Biomechanical sit-to-stand movement with physiological feedback latencies. 27. V1–159. 3 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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