# Identification of autoantibody clusters that best predict lupus disease activity using glomerular proteome arrays

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/identification-of-autoantibody-clusters-that-best-predict-lupus-disease-activity/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Quan Li Zhen,Chun Xie,Tianfu Wu,Meggan Mackay,Cynthia Aranow,Chaim Putterman,Chandra Mohan |
| Citations | 233 |
| DOI | 10.1172/jci23587 |
| Fields | Immunology and Microbiology,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | http://www.jci.org/articles/view/23587/files/pdf |
| OpenAlex ID | https://openalex.org/W2048730062 |
| PMID | 16322790 |
| Type | article |
| Year | 2005 |

## Paper authors

- [Cynthia Aranow](https://scholariq.org/researchers/cynthia-aranow/)
- [Chandra Mohan](https://scholariq.org/researchers/chandra-mohan/)

## Paper primary topic

- [Monoclonal and Polyclonal Antibodies Research](https://scholariq.org/topics/monoclonal-and-polyclonal-antibodies-research/)

## Paper topics

- [Systemic Lupus Erythematosus Research](https://scholariq.org/topics/systemic-lupus-erythematosus-research/)
- [Monoclonal and Polyclonal Antibodies Research](https://scholariq.org/topics/monoclonal-and-polyclonal-antibodies-research/)
- [T-cell and B-cell Immunology](https://scholariq.org/topics/t-cell-and-b-cell-immunology/)

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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.