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Akanksha Farswan

Observed name: Farswan, Akanksha
ORCID: 0000-0003-3889-089X
Observed ORCID: 0000-0003-3889-089X
OpenAlex ID: A5042562681
Design of Koch Fractal Circularly Polarized Antenna for Handheld UHF RFID Reader Applications
2015 · Akanksha Farswan, Anil Kumar Gautam, et al. · IEEE Transactions on Antennas and Propagation · 107
AI-supported modified risk staging for multiple myeloma cancer useful in real-world scenario
2021 · Akanksha Farswan, Anubha Gupta, et al. · Translational Oncology · 26
Imputation of Gene Expression Data in Blood Cancer and Its Significance in Inferring Biological Pathways
2020 · Akanksha Farswan, Anubha Gupta, et al. · Frontiers in Oncology · 20
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HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data
2025 · Ammal Abbasi, Christopher D. Steele, et al. · Cancer Research · 19
Transcriptomic profiles of myxofibrosarcoma and undifferentiated pleomorphic sarcoma correlate with clinical and genomic features
2024 · Shamik Mitra, Akanksha Farswan, et al. · The Journal of Pathology · 18
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Branching clonal evolution patterns predominate mutational landscape in multiple myeloma.
2021 · Akanksha Farswan, Lingaraja Jena, et al. · PubMed · 16
Does Ethnicity Matter in Multiple Myeloma Risk Prediction in the Era of Genomics and Novel Agents? Evidence From Real-World Data
2021 · Akanksha Farswan, Anubha Gupta, et al. · Frontiers in Oncology · 12
GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patients
2022 · Dikshant Sagar, Priya Aggarwal, et al. · Computers in Biology and Medicine · 9
Characterizing the mutational landscape of MM and its precursor MGUS.
2022 · Akanksha Farswan, Anubha Gupta, et al. · PubMed · 9
Correlation of changes in subclonal architecture with progression in the MMRF CoMMpass study
2022 · Gurvinder Kaur, Lingaraja Jena, et al. · Translational Oncology · 7
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ARCANE-ROG: Algorithm for reconstruction of cancer evolution from single-cell data using robust graph learning
2022 · Akanksha Farswan, Ritu Gupta, et al. · Journal of Biomedical Informatics · 5
Rethinking Teaching Practices for Signal Processing Education
2019 · Anubha Gupta, Akanksha Farswan · IEEE International Conference on Acoustics Speech and Signal Processing · 5
Graded Depth of Response and Neoplastic Plasma Cell Index as Indicators of Survival Outcomes in Patients With Multiple Myeloma Following Autologous Stem Cell Transplant
2022 · Nupur Das, Meetu Dahiya, et al. · American Journal of Clinical Pathology · 4
TV-DCT: Method to Impute Gene Expression Data Using DCT Based Sparsity and Total Variation Denoising
2019 · Akanksha Farswan, Anubha Gupta · IEEE International Conference on Acoustics Speech and Signal Processing · 4
P-050: Whole Exome Sequencing provides novel insights in synonymous and non-synonymous mutational landscapes of Multiple Myeloma
2021 · Gurvinder Kaur, Ritu Gupta, et al. · Clinical Lymphoma Myeloma & Leukemia · 3
CT-NNBI: Method to Impute Gene Expression Data using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration
2019 · Shiv Gehlot, Akanksha Farswan, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 2
Data from HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data
2025 · Ammal Abbasi, Christopher D. Steele, et al. · 1
EWSR1::ATF1 hyperactivation via TRIM11 depletion triggers lethal metabolic rewiring in clear cell sarcoma
2026 · Wenxin Chao, Kilian Bales, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Supplementary Figure S1 from HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data
2025 · Ammal Abbasi, Christopher D. Steele, et al.
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Supplementary Figure S12 from HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data
2025 · Ammal Abbasi, Christopher D. Steele, et al.
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Supplementary Figure S13 from HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data
2025 · Ammal Abbasi, Christopher D. Steele, et al.
Supplementary Figure S3 from HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data
2025 · Ammal Abbasi, Christopher D. Steele, et al.
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Supplementary Figure S2 from HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data
2025 · Ammal Abbasi, Christopher D. Steele, et al.
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Figure 1 from HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data
2025 · Ammal Abbasi, Christopher D. Steele, et al.
Supplementary Figure S5 from HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data
2025 · Ammal Abbasi, Christopher D. Steele, et al.
Works count: 42
Citation count: 267
H-index: 9
I10-index: 7
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