Josephine Brown

601 total citations
12 papers, 436 citations indexed

About

Josephine Brown is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Josephine Brown has authored 12 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Rheumatology. Recurrent topics in Josephine Brown's work include Gut microbiota and health (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Josephine Brown is often cited by papers focused on Gut microbiota and health (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Josephine Brown collaborates with scholars based in United States, Egypt and United Kingdom. Josephine Brown's co-authors include Laurence Morel, Seung‐Chul Choi, Wei Li, Timothy J. Garrett, Minghao Gong, George Michailidis, Byron P. Croker, Mansour Mohamadzadeh, Mojgan Zadeh and Morris Notelovitz and has published in prestigious journals such as The Journal of Immunology, American Journal of Clinical Nutrition and Immunological Reviews.

In The Last Decade

Josephine Brown

12 papers receiving 426 citations

Peers

Josephine Brown

MB

IMMUN

RHEUM

GENET

PHYSI

Shenglan Yi China

Diana E. Matei United Kingdom

Erika Ricci Italy

Clarke Pamela United Kingdom

Mary Bach United States

Eman Assrawi France

Isabella Muscari Italy

Xiaoxia Zuo China

Fawaz Awad France

Shenglan Yi China

Josephine Brown

187 ×1.0

MB

96 ×0.6

IMMUN

63 ×0.5

RHEUM

29 ×0.4

GENET

42 ×0.6

PHYSI

Citations per year, relative to Josephine Brown Josephine Brown (= 1×) peers Shenglan Yi

Countries citing papers authored by Josephine Brown

Since Specialization

Citations

This map shows the geographic impact of Josephine Brown'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 Josephine Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josephine Brown more than expected).

Fields of papers citing papers by Josephine Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josephine Brown. 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 Josephine Brown. The network helps show where Josephine Brown may publish in the future.

Co-authorship network of co-authors of Josephine Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Josephine Brown. A scholar is included among the top collaborators of Josephine Brown 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 Josephine Brown. Josephine Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Ma, Longhuan, et al.. (2025). Gut Expansion of a Human Lupus Pathobiont is Associated With Autoantibody Production and T Cell Dysregulation. ACR Open Rheumatology. 7(5). e70033–e70033. 1 indexed citations

2.

Ma, Longhuan, et al.. (2023). TLR7/TLR8 activation and susceptibility genes synergize to breach gut barrier in a mouse model of lupus. Frontiers in Immunology. 14. 1187145–1187145. 3 indexed citations

3.

Brown, Josephine, Georges Abboud, Longhuan Ma, et al.. (2022). Microbiota-mediated skewing of tryptophan catabolism modulates CD4+ T cells in lupus-prone mice. iScience. 25(5). 104241–104241. 29 indexed citations

4.

Ma, Longhuan, et al.. (2022). A combination of genetic factors and dietary tryptophan shapes gut microbial dysbiosis in a lupus-prone mouse model. The Journal of Immunology. 208(Supplement_1). 174.03–174.03. 1 indexed citations

5.

Teng, Xiangyu, Josephine Brown, & Laurence Morel. (2021). Redox Homeostasis Involvement in the Pharmacological Effects of Metformin in Systemic Lupus Erythematosus. Antioxidants and Redox Signaling. 36(7-9). 462–479. 18 indexed citations

6.

Li, Wei, Minghao Gong, Ahmed S. Elshikha, et al.. (2021). Lupus susceptibility gene Esrrg modulates regulatory T cells through mitochondrial metabolism. JCI Insight. 6(14). 24 indexed citations

7.

Choi, Seung‐Chul, Josephine Brown, Minghao Gong, et al.. (2020). Gut microbiota dysbiosis and altered tryptophan catabolism contribute to autoimmunity in lupus-susceptible mice. Science Translational Medicine. 12(551). 182 indexed citations

8.

Brown, Josephine, et al.. (2020). Intestinal Dysbiosis and Tryptophan Metabolism in Autoimmunity. Frontiers in Immunology. 11. 1741–1741. 47 indexed citations

9.

Teng, Xiangyu, Josephine Brown, Seung‐Chul Choi, Wei Li, & Laurence Morel. (2020). Metabolic determinants of lupus pathogenesis. Immunological Reviews. 295(1). 167–186. 40 indexed citations

10.

Li, Wei, Ahmed S. Elshikha, Caleb Cornaby, et al.. (2020). T cells expressing the lupus susceptibility allele Pbx1d enhance autoimmunity and atherosclerosis in dyslipidemic mice. JCI Insight. 5(11). 17 indexed citations

11.

Abdelrahman, Tarig, et al.. (2015). Hirsch Index Value and Variability Related to General Surgery in a UK Deanery. Journal of surgical education. 73(1). 111–115. 6 indexed citations

12.

Notelovitz, Morris, et al.. (1992). Axial and peripheral bone density and nutrient intakes of postmenopausal vegetarian and omnivorous women. American Journal of Clinical Nutrition. 56(4). 699–704. 68 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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