# Prediction of plant complex traits via integration of multi-omics data

*PRI Rank #17 · Topics and Trends in Most Cited Plant Molecular Biology Research Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/plant-molecular-biology-research/2026/rank-17*

| Field | Value |
| --- | --- |
| Rank | #17 |
| 18m citations | 45 |
| Journal | Nature Communications |
| Year | 2024 |
| DOI | 10.1038/s41467-024-50701-6 |
| Corresponding authors | Peipei Wang |
| Institution | Michigan State University, United States |

**Ranking page:** [Topics and Trends in Most Cited Plant Molecular Biology Research Papers, Class of 2026](https://pri.pepkio.com/top-papers/plant-molecular-biology-research/2026)

**Paper link:** [10.1038/s41467-024-50701-6](https://doi.org/10.1038/s41467-024-50701-6)

## Topics

multi-omics data integration · complex trait prediction · Arabidopsis thaliana · genomic data · transcriptomic data · methylomic data · flowering time · genotype-to-phenotype translation · benchmark genes · Gene regulatory networks · accession-dependent gene contributions · Genetic interaction · experimental validation · transcriptome-based models · methylome-based models · genome-based models

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Plant Molecular Biology Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/plant-molecular-biology-research/2026. Accessed 2026-09-06.

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
```