# University College London

**Type:** Funders  
**Canonical URL:** https://scholariq.org/funders/university-college-london/

## Facts

| Field | Value |
| --- | --- |
| Country | GB |
| Description | Public research university in London, United Kingdom |
| OpenAlex ID | https://openalex.org/F4320320286 |
| ROR ID | https://ror.org/02jx3x895 |
| Works | 29,193 |

## Funder papers

- [Effect of Delayed Targeted Intraoperative Radiotherapy vs Whole-Breast Radiotherapy on Local Recurrence and Survival](https://scholariq.org/papers/effect-of-delayed-targeted-intraoperative-radiotherapy-vs-whole-breast/)
- [Effects of rare kidney diseases on kidney failure: a longitudinal analysis of the UK National Registry of Rare Kidney Diseases (RaDaR) cohort](https://scholariq.org/papers/effects-of-rare-kidney-diseases-on-kidney-failure-a-longitudinal-analysis-of-the/)
- [Economic Evaluation of Lupus Nephritis in the Systemic Lupus International Collaborating Clinics Inception Cohort Using a Multistate Model Approach](https://scholariq.org/papers/economic-evaluation-of-lupus-nephritis-in-the-systemic-lupus-international/)
- [Outcomes of membranous and proliferative lupus nephritis – analysis of a single-centre cohort with more than 30 years of follow-up](https://scholariq.org/papers/outcomes-of-membranous-and-proliferative-lupus-nephritis-analysis-of-a-single/)
- [Assessing outcomes in a lupus nephritis cohort over a 40-year period](https://scholariq.org/papers/assessing-outcomes-in-a-lupus-nephritis-cohort-over-a-40-year-period/)
- [A Sensorised Surgical Glove to Analyze Forces During Neurosurgery](https://scholariq.org/papers/a-sensorised-surgical-glove-to-analyze-forces-during-neurosurgery/)
- [Description and Cross-Sectional Analyses of 25,880 Adults and Children in the UK National Registry of Rare Kidney Diseases Cohort](https://scholariq.org/papers/description-and-cross-sectional-analyses-of-25-880-adults-and-children-in-the-uk/)
- [Deep learning prediction of error and skill in robotic prostatectomy suturing](https://scholariq.org/papers/deep-learning-prediction-of-error-and-skill-in-robotic-prostatectomy-suturing/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.