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Year 2018: top* 10 papers with the highest R-portion

Topic: Comprehensive Integration of Single-Cell Transcriptomic Data

* The top 5% of entries has been removed to reduce statistical anomalies. Further fine-tuning, filtering, and error cleaning are in progress.

Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding

YCR = 2018 / 995 /  25.77 


Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing

YCR = 2018 / 1081 /  25.28 


Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging

YCR = 2018 / 967 /  25.22 


CellMarker: a manually curated resource of cell markers in human and mouse

YCR = 2018 / 898 /  24.08 


Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region

YCR = 2018 / 855 /  23.69 


Three-dimensional intact-tissue sequencing of single-cell transcriptional states

YCR = 2018 / 941 /  23.24 


Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

YCR = 2018 / 707 /  22.63 


Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo

YCR = 2018 / 688 /  21.90 


Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis

YCR = 2018 / 652 /  20.43 


Exponential scaling of single-cell RNA-seq in the past decade

YCR = 2018 / 706 /  18.85 


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YCR data statistics

256,088,911 scientific papers' metadata imported
83,922,018 Biomedical-category papers detected
18,085,165 Oncology-category papers detected
84,476,362 total in Biomedical + Oncology
YCR precalculated for 41,199,797 Biomedical papers (49%)
YCR precalculated for 9,205,340 Oncology papers (51%)
OpenAlex data imported on: 30-May-2024
OpenAlex data updated on: 30-May-2024

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