International Journal of Biomedical Data Mining : Citations & Metrics Report
Articles published in International Journal of Biomedical Data Mining have been cited by esteemed scholars and scientists all around the world. International Journal of Biomedical Data Mining has got h-index 7, which means every article in International Journal of Biomedical Data Mining has got 7 average citations.
Following are the list of articles that have cited the articles published in International Journal of Biomedical Data Mining.
| 2020 | 2019 | 2018 | 2017 | 2016 | |
|---|---|---|---|---|---|
Total published articles |
33 | 2 | 4 | 8 | 5 |
Conference proceedings |
0 | 0 | 0 | 0 | 0 |
Citations received as per Google Scholar, other indexing platforms and portals |
42 | 62 | 70 | 46 | 14 |
| Journal total citations count | 310 |
| Journal impact factor | 6.83 |
| Journal 5 years impact factor | 4.42 |
| Journal cite score | 4.60 |
| Journal h-index | 7 |
| Journal h-index since 2019 | 7 |
Important citations (264)
The purpose of using molecular mechanics and molecular dynamics methods in rational drug design |
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Application of molecular dynamics in advanced design of biological products and study of protein of infectious bodies |
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Purpose of using molecular mechanical and molecular dynamic methods in rational drug design |
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A comparative approach to cluster maternal data using k-means and k-medoid |
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Application of molecular dynamics in professional designing of biological products and study of infectious agents protein |
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Infrastructure of synchrotronic biosensor based on semiconductor device fabrication for tracking, monitoring, imaging, measuring, diagnosing and detecting cancer cells |
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Three–dimensional (3d) simulations of human cancer cells, tissues and tumors for using in human cancer cells, tissues and tumors diagnosis and treatment as a powerful tool in human cancer cells, tissues and tumors research and anti–cancer nano drugs sensitivity and delivery area discovery and evaluation |
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Molecular dynamics study of the human beta-defensins 2 and 3 chimeric peptides with the cell membrane model of pseudomonas aeruginosa |
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Incredible natural–abundance double–quantum transfer experiment (inadequate), nuclear overhauser effect spectroscopy (noesy) and rotating frame nuclear overhauser effect spectroscopy (roesy) comparative study on malignant and benign human cancer cells and tissues under synchrotron radiation |
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Perspectives on sub–nanometer level of electronic structure of the synchrotron with mendelevium nanoparticles for elimination of human cancer cells, tissues and tumors treatment using mathematica 12.0 |
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Computational approach for the evaluation of bioactive compounds from ethnobotanicals for their pharmacological. |
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Pros and cons controversy on synchrotronic biosensor using os–pd/hfc nanocomposite for tracking, monitoring, imaging, measuring, diagnosing and detecting cancer cells, tissues and tumors |
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Role and applications of synchrotron removal from raman spectra for quantitative analysis of cancer tissues |
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In silico investigation of echinodermata secondary metabolites as human immunodeficiency virus type 1 (hiv-1) reverse transcriptase inhibitors |
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Adamantane, irene, naftazone and pyridine-enhanced precatalyst preparation stabilization and initiation (peppsi) nano molecules |
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Investigation of prevention, protection and treatment of ritonavir effectiveness on coronavirus disease–2019 (covid–19) infection using fourier transform raman (ft–raman) biospectroscopy |
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Ex vivo and in silico molecular docking studies of aldose reductase inhibitory activity of apigenin from morus indica l. |
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In situ monitoring of ritonavir protective and therapeutic influence as a potent drug on coronavirus disease–2019 (covid–19) infection by attenuated total reflectance–fourier transform infrared (atr–ftir fingerprint) biospectroscopy |
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A stimulated ft–ir biospectroscopic study of ritonavir protective and therapeutic effect as a potent drug on coronavirus disease–2019 (covid–19) infection |
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Study of stimulated raman biospectroscopy in ritonavir as a potent drug against coronavirus disease–2019 (covid–19) infection |
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