# Urine proteomics for prediction of disease progression in patients with IgA nephropathy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/urine-proteomics-for-prediction-of-disease-progression-in-patients-with-iga/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Michael Rudnicki,Justyna Siwy,Ralph Wendt,Mark Lipphardt,Michael Koziolek,Dita Maixnerová,Björn Peters,Julia Kerschbaum,Johannes Leierer,Michaela Neprašová,Mirosław Banasik,Ana B. Sanz,María Vanessa Pérez-Gómez,Alberto Ortíz,Bernd Stegmayr,Vladimı́r Tesař,Harald Mischak,Joachim Beige,Heather N. Reich,PERSTIGAN working group,Joachim Beige,Ralph Wendt,Justyna Siwy,Petra Zürbig,Harald Mischak,Annika Durban,Julia Raad,Igor Golovko,Heather N. Reich,Ping Lam,Stuart Yang,Jiménez Díaz,Ana B. Sanz,Beatriz Fernández‐Fernández,Jorge Rojas-Rivera,María Vanessa Pérez-Gómez,Alberto Ortíz,María Dolores Sánchez-Niño,Jinny Sánchez-Rodríguez,Michael Rudnicki,Julia Kerschbaum,Johannes Leierer,Gert Mayer,Bernd Stegmayr,Björn Peters |
| Citations | 82 |
| DOI | 10.1093/ndt/gfaa307 |
| Fields | Chemistry,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://academic.oup.com/ndt/article-pdf/37/1/42/41998863/gfaa307.pdf |
| OpenAlex ID | https://openalex.org/W3033838163 |
| PMID | 33313853 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Michael Rudnicki](https://scholariq.org/researchers/michael-rudnicki/)

## Paper journal

- [Nephrology Dialysis Transplantation](https://scholariq.org/journals/nephrology-dialysis-transplantation/)

## Paper primary topic

- [Renal Diseases and Glomerulopathies](https://scholariq.org/topics/renal-diseases-and-glomerulopathies/)

## Paper topics

- [Renal Diseases and Glomerulopathies](https://scholariq.org/topics/renal-diseases-and-glomerulopathies/)
- [Chronic Kidney Disease and Diabetes](https://scholariq.org/topics/chronic-kidney-disease-and-diabetes/)
- [Advanced Proteomics Techniques and Applications](https://scholariq.org/topics/advanced-proteomics-techniques-and-applications/)

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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.