Joan Wither

5.9k total citations · 1 hit paper
108 papers, 2.7k citations indexed

About

Joan Wither is a scholar working on Immunology, Rheumatology and Pathology and Forensic Medicine. According to data from OpenAlex, Joan Wither has authored 108 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Immunology, 70 papers in Rheumatology and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Joan Wither's work include Systemic Lupus Erythematosus Research (68 papers), T-cell and B-cell Immunology (47 papers) and Immune Cell Function and Interaction (32 papers). Joan Wither is often cited by papers focused on Systemic Lupus Erythematosus Research (68 papers), T-cell and B-cell Immunology (47 papers) and Immune Cell Function and Interaction (32 papers). Joan Wither collaborates with scholars based in Canada, United States and United Kingdom. Joan Wither's co-authors include Dafna D. Gladman, Paul R. Fortin, Murray B. Urowitz, Carolina Landolt-Marticorena, John D. Rioux, Brian Vukusic, Timothy J. Vyse, Deborah S. Cunninghame Graham, Robert Graham and Zahi Touma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Joan Wither

97 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genetic association analyses implicate aberrant regulation of innate and adaptive immunity genes in the pathogenesis of systemic lupus erythematosus

2015 600 citations James Bentham, David Morris et al. Nature Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Joan Wither Canada	28	1.8k	1.5k	475	354	333	108	2.7k
John B. Harley United States	23	1.2k 0.7×	1.1k 0.7×	343 0.7×	329 0.9×	256 0.8×	36	2.2k
Aimee E. Pugh‐Bernard United States	10	1.3k 0.7×	647 0.4×	252 0.5×	478 1.4×	302 0.9×	11	2.2k
Shoichi Ozaki Japan	31	691 0.4×	748 0.5×	631 1.3×	139 0.4×	276 0.8×	103	2.5k
Nathalie Franchimont United States	31	677 0.4×	719 0.5×	894 1.9×	196 0.6×	251 0.8×	78	2.5k
Antonio Manzo Italy	30	1.2k 0.6×	1.3k 0.9×	449 0.9×	401 1.1×	130 0.4×	72	3.0k
Violeta Rus United States	29	1.4k 0.8×	514 0.3×	619 1.3×	143 0.4×	109 0.3×	79	2.4k
Taku Yoshio Japan	25	774 0.4×	1.1k 0.7×	326 0.7×	388 1.1×	93 0.3×	70	2.0k
Serge Steinfeld Belgium	21	1.3k 0.7×	1.7k 1.2×	432 0.9×	313 0.9×	294 0.9×	52	3.4k
Consuelo Blosch United States	8	571 0.3×	788 0.5×	509 1.1×	237 0.7×	164 0.5×	11	2.1k
Bahram Namjou United States	21	684 0.4×	726 0.5×	232 0.5×	175 0.5×	325 1.0×	41	1.3k

Countries citing papers authored by Joan Wither

Since Specialization

Citations

This map shows the geographic impact of Joan Wither's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joan Wither with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Wither more than expected).

Fields of papers citing papers by Joan Wither

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Wither. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joan Wither. The network helps show where Joan Wither may publish in the future.

Co-authorship network of co-authors of Joan Wither

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Wither. A scholar is included among the top collaborators of Joan Wither based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joan Wither. Joan Wither is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Muñoz‐Grajales, Carolina, Juan Pablo Díaz-Martínez, Jiandong Su, et al.. (2025). Association of Elevated Serum S100A8 / A9 Levels and Cognitive Impairment in Patients With Systemic Lupus Erythematosus. Arthritis Care & Research. 77(11). 1303–1312.

Dang, Stuti, Xianwei Li, Vincent Piguet, et al.. (2025). Sex differences in serum proteomic profiles in psoriatic arthritis. Lara D. Veeken. 64(11). 5911–5920.

Dang, Stuti, Joan Wither, Igor Jurišica, Vinod Chandran, & Lihi Eder. (2025). Sex differences in biomarkers and biologic mechanisms in psoriatic diseases and spondyloarthritis. Journal of Autoimmunity. 152. 103394–103394. 4 indexed citations

Sigel, M. Michael, Carolina Muñoz‐Grajales, Maria Carmela Tartaglia, et al.. (2025). Predicting anxiety and depression in systemic lupus erythematosus: the role of inflammation, sociodemographic variables and clinical factors. Seminars in Arthritis and Rheumatism. 73. 152718–152718.

Johnson, Sindhu R., Dennisse Bonilla, Arthur Bookman, et al.. (2024). Evaluation of Progression From Preclinical to Systemic Autoimmune Rheumatic Disease: Novel Use of the European Alliance of Associations for Rheumatology/American College of Rheumatology Systemic Lupus Erythematosus Classification Criteria as an Outcome Measure. ACR Open Rheumatology. 6(12). 871–877. 2 indexed citations

Gladman, Dafna D., et al.. (2024). Circulating neutrophil extracellular trap remnants as a biomarker to predict outcomes in lupus nephritis. Lupus Science & Medicine. 11(1). e001038–e001038. 12 indexed citations

Su, Jiandong, Kathleen Bingham, Lesley Ruttan, et al.. (2023). Centrally acting ACE inhibitor (cACEi) and angiotensin receptor blocker (cARB) use and cognitive dysfunction in patients with SLE. Lupus Science & Medicine. 10(2). e000923–e000923. 5 indexed citations

Knight, Andrea, Kathleen Bingham, Jiandong Su, et al.. (2023). In-person versus virtual administration of the American College of Rheumatology gold standard cognitive battery in systemic lupus erythematosus: Are they interchangeable?. Lupus. 32(6). 737–745. 2 indexed citations

Gold, Nicholas D., Jingjing Cao, Dafna D. Gladman, et al.. (2023). Genetics of longitudinal kidney function in children and adults with systemic lupus erythematosus. Lara D. Veeken. 62(11). 3749–3756. 1 indexed citations

10.

Tayer-Shifman, Oshrat E, Robin Green, Patricia Katz, et al.. (2022). Assessing the Utility of the Montreal Cognitive Assessment in Screening for Cognitive Impairment in Patients With Systemic Lupus Erythematosus. Arthritis Care & Research. 75(3). 569–577. 12 indexed citations

11.

Almaani, Salem, Stephenie D. Prokopec, Jianying Zhang, et al.. (2019). Rethinking Lupus Nephritis Classification on a Molecular Level. Journal of Clinical Medicine. 8(10). 1524–1524. 23 indexed citations

12.

Khan, Srijit, Jonathan St‐Germain, Chunxia Zou, et al.. (2018). A tyrosine sulfation–dependent HLA-I modification identifies memory B cells and plasma cells. Science Advances. 4(11). eaar7653–eaar7653. 13 indexed citations

13.

Bentham, James, David Morris, Deborah S. Cunninghame Graham, et al.. (2015). Genetic association analyses implicate aberrant regulation of innate and adaptive immunity genes in the pathogenesis of systemic lupus erythematosus. Nature Genetics. 47(12). 1457–1464. 600 indexed citations breakdown →

14.

Loh, Christina, et al.. (2011). Abrogation of pathogenic IgG autoantibody production in CD40L gene-deleted lupus-prone New Zealand Black mice. Clinical Immunology. 139(2). 215–227. 12 indexed citations

15.

Loh, Christina, et al.. (2007). Dissociation of the Genetic Loci Leading to B1a and NKT Cell Expansions from Autoantibody Production and Renal Disease in B6 Mice with an Introgressed New Zealand Black Chromosome 4 Interval. The Journal of Immunology. 178(3). 1608–1617. 7 indexed citations

16.

Levine, Jerrold S., Rebecca Subang, Samih H. Nasr, et al.. (2006). Immunization with an Apoptotic Cell-Binding Protein Recapitulates the Nephritis and Sequential Autoantibody Emergence of Systemic Lupus Erythematosus. The Journal of Immunology. 177(9). 6504–6516. 37 indexed citations

17.

Wither, Joan, et al.. (2005). Colocalization of Expansion of the Splenic Marginal Zone Population with Abnormal B Cell Activation and Autoantibody Production in B6 Mice with an Introgressed New Zealand Black Chromosome 13 Interval. The Journal of Immunology. 175(7). 4309–4319. 39 indexed citations

18.

Wither, Joan, et al.. (2005). Functional Interplay between Intrinsic B and T Cell Defects Leads to Amplification of Autoimmune Disease in New Zealand Black Chromosome 1 Congenic Mice. The Journal of Immunology. 175(12). 8154–8164. 11 indexed citations

19.

Wither, Joan, et al.. (2004). Autoreactive B Cells in Lupus-Prone New Zealand Black Mice Exhibit Aberrant Survival and Proliferation in the Presence of Self-Antigen In Vivo. The Journal of Immunology. 172(3). 1553–1560. 16 indexed citations

20.

Wither, Joan, et al.. (2003). Functional Dissection of Lupus Susceptibility Loci on the New Zealand Black Mouse Chromosome 1: Evidence for Independent Genetic Loci Affecting T and B Cell Activation. The Journal of Immunology. 171(4). 1697–1706. 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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