Hamza Farooq

3.6k citations
26 papers · 246 · h-index 9

Impact in

Papers in

Hamza Farooq

24 papers receiving 245 citations

Peers

Hamza Farooq
Comparison fields: 5 of 76
  • Genetics 32
  • Cancer Research 43
  • Radiology, Nuclear Medicine and Imaging 46
  • Computational Mathematics 1
  • Cognitive Neuroscience 29
Replace Andrea Cremaschi with:
Andrea Cremaschi Singapore
Guillemette Chapuisat France
Nafissa Yakubova United States
Mikala Skydsgaard Denmark
Valentin Dinu United States
Hervé Perdry France
Weichen Song China
Yongbin Chen China
Margherita Francescatto Italy
Tatsuya Ando Japan
Hamza Farooq relative to Andrea Cremaschi Singapore Andrea Cremaschi's profile →
Citations per field
00.5×2.9×
Andrea Cremaschi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hamza Farooq, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hamza Farooq Line = papers co-authored together Hamza Farooq links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201942
2 201740
3 201634
4 201725
5 201919
6 201812
7
Cholistan and Cholistani Breed of Cattle
201011
8 201411
9 202210
10 20208
11 20208
12 20154
13 20233
14 20153
15 20103
16 20252
17 20182
18 20192
19
Prevalence of Pregnancy Related Low Back Pain in Third Trimester and Its Impact on Quality of Life and Physical Limitation
20172
20 20241

About Hamza Farooq

Hamza Farooq is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Cancer Research and Surgery, having authored 26 papers that have together received 246 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Cancer Genomics and Diagnostics (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cardiovascular Health and Disease Prevention (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Genetics (32 citations), Cancer Research (43 citations), Radiology, Nuclear Medicine and Imaging (46 citations), Computational Mathematics (1 citation) and Cognitive Neuroscience (29 citations). Hamza Farooq has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Christophe Lenglet, Tryphon T. Georgiou, Michael D. Taylor, Allen Tannenbaum, Yongxin Chen, Junqian Xu, Daniel F. Keefe, Essa Yacoub, Ghulam Rasool and A. Sorana Morrissy. Their work appears in journals such as Neuro-Oncology, Scientific Reports, Cancer Research, Nature Communications and Cell Reports.

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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