# Predicting glycan structure from tandem mass spectrometry via deep learning

*PRI Rank #10 · Topics and Trends in Most Cited Glycosylation and Glycoproteins Research Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/glycosylation-and-glycoproteins-research/2026/rank-10*

| Field | Value |
| --- | --- |
| Rank | #10 |
| 18m citations | 44 |
| Journal | Nature Methods |
| Year | 2024 |
| DOI | 10.1038/s41592-024-02314-6 |
| Corresponding authors | Daniel Bojar |
| Institution | University of Gothenburg, Sweden |

**Ranking page:** [Topics and Trends in Most Cited Glycosylation and Glycoproteins Research Papers, Class of 2026](https://pri.pepkio.com/top-papers/glycosylation-and-glycoproteins-research/2026)

**Paper link:** [10.1038/s41592-024-02314-6](https://doi.org/10.1038/s41592-024-02314-6)

## Topics

glycan structure prediction · tandem mass spectrometry · MS/MS spectra · CandyCrunch · dilated residual neural network · liquid chromatography-MS/MS · post-translational modification · structural annotation · de novo annotation · diagnostic fragment identification · fragment annotation · glycowork platform · high-throughput glycomics · deep learning for glycomics · raw data conversion

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Glycosylation and Glycoproteins Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/glycosylation-and-glycoproteins-research/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
```