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Piyushkumar A. Mundra

University of Copenhagen(DK)

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84

Papers

2.9K

Citations

26

h-index

46

i10-index

Piyushkumar A. Mundra is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Bioinformatics and Genomic Networks & Gene expression and cancer classification & Metabolomics and Mass Spectrometry Studies. The author has an h-index of 26, co-authored 72 publications.

ORCID: 0000-0001-7769-2939

Research Topics

Bioinformatics and Genomic Networks Gene expression and cancer classification Metabolomics and Mass Spectrometry Studies Cancer Immunotherapy and Biomarkers Cutaneous Melanoma Detection and Management

Papers by this author

works

Weight Loss and Exercise Alter the High-Density Lipoprotein Lipidome and Improve High-Density Lipoprotein Functionality in Metabolic Syndrome

2017 · Arteriosclerosis Thrombosis and Vascular Biology · 64 citations

https://doi.org/10.1161/atvbaha.117.310212

Anmar A. Khan Piyushkumar A. Mundra Nora E. Straznicky Paul J. Nestel

PIKE-R2P: Protein–protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction

2021 · BMC Bioinformatics · 15 citations

https://doi.org/10.1186/s12859-021-04022-w

Xinnan Dai Fan Xu Shike Wang Piyushkumar A. Mundra

Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd

2021 · Molecular Systems Biology · 14 citations

https://doi.org/10.15252/msb.202110402

Attila Gábor Marco Tognetti Alice Driessen Jovan Tanevski

Tumour infiltrating B cells discriminate checkpoint blockade-induced responses

2022 · European Journal of Cancer · 10 citations

https://doi.org/10.1016/j.ejca.2022.09.022

Sara Valpione L Campana John Weightman Zena Salih

Pathogenic variants reveal candidate genes for prostate cancer germline testing for men of African ancestry

2025 · Nature Communications · 5 citations

https://doi.org/10.1038/s41467-025-63865-6

Kazzem Gheybi Pamela X. Y. Soh Jue Jiang

Research topics

topics

Bioinformatics and Genomic Networks

Gene expression and cancer classification

Metabolomics and Mass Spectrometry Studies

Cancer Immunotherapy and Biomarkers

Cutaneous Melanoma Detection and Management

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