# scMD facilitates cell type deconvolution using single-cell DNA methylation references

*PRI Rank #10 · Topics and Trends in Most Cited Epigenetics and DNA Methylation Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/epigenetics-and-dna-methylation/2026/rank-10*

| Field | Value |
| --- | --- |
| Rank | #10 |
| 18m citations | 96 |
| Journal | Communications Biology |
| Year | 2024 |
| DOI | 10.1038/s42003-023-05690-5 |
| Corresponding authors | Jiebiao Wang |
| Institution | University of Pittsburgh, United States |

**Ranking page:** [Topics and Trends in Most Cited Epigenetics and DNA Methylation Papers, Class of 2026](https://pri.pepkio.com/top-papers/epigenetics-and-dna-methylation/2026)

**Paper link:** [10.1038/s42003-023-05690-5](https://doi.org/10.1038/s42003-023-05690-5)

## Topics

scMD · Cell type deconvolution · Single-cell DNA methylation · scDNAm · bulk DNA methylation data · Data sparsity · ultra-high dimensional data · cell type fractions · cell cluster aggregation · cell-type marker DNAm sites · cell-type signature matrices · sorted-cell references · RNA-derived references · Alzheimer's disease · cell type-specific differentially methylated cytosines · brain tissue · solid tissues

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Epigenetics and DNA Methylation Papers, Class of 2026. https://pri.pepkio.com/top-papers/epigenetics-and-dna-methylation/2026. Accessed 2026-07-21.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```