# The global distribution and the risk prediction of relapsing fever group Borrelia: a data review with modelling analysis

*PRI Rank #16 · Topics and Trends in Most Cited Vector-borne infectious diseases Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/vector-borne-infectious-diseases/2026/rank-16*

| Field | Value |
| --- | --- |
| Rank | #16 |
| 18m citations | 19 |
| Journal | The Lancet Microbe |
| Year | 2024 |
| DOI | 10.1016/s2666-5247(23)00396-8 |
| Corresponding authors | Li‐Qun Fang, Wei Liu |
| Institution | Beijing Institute of Microbiology and Epidemiology, China |

**Ranking page:** [Topics and Trends in Most Cited Vector-borne infectious diseases Papers, Class of 2026](https://pri.pepkio.com/top-papers/vector-borne-infectious-diseases/2026)

**Paper link:** [10.1016/s2666-5247(23)00396-8](https://doi.org/10.1016/s2666-5247(23)00396-8)

## Topics

relapsing fever group Borrelia · Borrelia miyamotoi · Borrelia lonestari · Borrelia crocidurae · Borrelia hermsii · Borrelia recurrentis · Borrelia persica · machine learning algorithms · boosted regression trees · Random forest · least absolute shrinkage and selection operator logistic regression · species distribution modeling · tick vectors · global distribution mapping · disease risk prediction · species distribution modeling · Bioclimatic variables · annual mean temperature · zoonotic transmission · emerging infectious diseases

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Vector-borne infectious diseases Papers, Class of 2026. https://pri.pepkio.com/top-papers/vector-borne-infectious-diseases/2026. Accessed 2026-07-31.

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
```