# Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics

*PRI Rank #3 · Topics and Trends in Most Cited Neurobiology and Insect Physiology Research Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/neurobiology-and-insect-physiology-research/2026/rank-3*

| Field | Value |
| --- | --- |
| Rank | #3 |
| 18m citations | 129 |
| Journal | Nature Methods |
| Year | 2024 |
| DOI | 10.1038/s41592-024-02318-2 |
| Corresponding authors | Scott W. Linderman, Sandeep Robert Datta |
| Institution | Harvard Medical School, United States |

**Ranking page:** [Topics and Trends in Most Cited Neurobiology and Insect Physiology Research Papers, Class of 2026](https://pri.pepkio.com/top-papers/neurobiology-and-insect-physiology-research/2026)

**Paper link:** [10.1038/s41592-024-02318-2](https://doi.org/10.1038/s41592-024-02318-2)

## Topics

keypoint-MoSeq · keypoint tracking · pose dynamics · behavioral syllables · unsupervised clustering · generative model · keypoint noise filtering · sub-second pose discontinuities · neural-behavioral correlations · social behavior classification · sniff-aligned movements · oscillatory behaviors · Drosophila melanogaster · mice · modular behavior structure · video-based behavioral analysis · action segmentation · pose estimation

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Neurobiology and Insect Physiology Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/neurobiology-and-insect-physiology-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
```