Bronwyn A. O’Brien

2.1k total citations
44 papers, 1.7k citations indexed

About

Bronwyn A. O’Brien is a scholar working on Surgery, Genetics and Immunology. According to data from OpenAlex, Bronwyn A. O’Brien has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 22 papers in Genetics and 13 papers in Immunology. Recurrent topics in Bronwyn A. O’Brien's work include Pancreatic function and diabetes (21 papers), Diabetes and associated disorders (20 papers) and Parasites and Host Interactions (9 papers). Bronwyn A. O’Brien is often cited by papers focused on Pancreatic function and diabetes (21 papers), Diabetes and associated disorders (20 papers) and Parasites and Host Interactions (9 papers). Bronwyn A. O’Brien collaborates with scholars based in Australia, Canada and United Kingdom. Bronwyn A. O’Brien's co-authors include Sheila Donnelly, Donald P. Cameron, Brian Harmon, David J. Allan, Maria E. Lund, Joyce To, Jan Dutz, Diane T. Finegood, John P. Dalton and Xuan Geng and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Bronwyn A. O’Brien

40 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bronwyn A. O’Brien Australia 20 576 544 531 406 283 44 1.7k
Declan F. McCole United States 29 600 1.0× 580 1.1× 758 1.4× 1.3k 3.2× 65 0.2× 82 2.8k
Warren Thomas Ireland 26 196 0.3× 249 0.5× 235 0.4× 704 1.7× 319 1.1× 68 1.8k
Kelli L. VanDussen United States 22 422 0.7× 788 1.4× 403 0.8× 1.1k 2.7× 41 0.1× 36 2.6k
Kenji Baba Japan 21 272 0.5× 237 0.4× 152 0.3× 423 1.0× 67 0.2× 162 1.6k
Lut Overbergh Belgium 9 201 0.3× 301 0.6× 479 0.9× 664 1.6× 114 0.4× 13 1.9k
Carrie A. Duckworth United Kingdom 25 645 1.1× 421 0.8× 565 1.1× 1.0k 2.5× 36 0.1× 64 2.4k
Christelle Faveeuw France 36 276 0.5× 291 0.5× 2.2k 4.1× 817 2.0× 64 0.2× 73 3.6k
Alip Borthakur United States 29 324 0.6× 225 0.4× 215 0.4× 1.0k 2.5× 57 0.2× 73 2.0k
Omaima Nasir Germany 18 167 0.3× 200 0.4× 657 1.2× 918 2.3× 231 0.8× 32 2.2k
Sydney Lavoie United States 8 329 0.6× 157 0.3× 682 1.3× 571 1.4× 35 0.1× 9 1.6k

Countries citing papers authored by Bronwyn A. O’Brien

Since Specialization
Citations

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

Fields of papers citing papers by Bronwyn A. O’Brien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bronwyn A. O’Brien. 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 Bronwyn A. O’Brien. The network helps show where Bronwyn A. O’Brien may publish in the future.

Co-authorship network of co-authors of Bronwyn A. O’Brien

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

All Works

20 of 20 papers shown
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Nassif, Najah T., Bronwyn A. O’Brien, Grant J. Logan, et al.. (2025). Pancreatic transdifferentiation of NOD mouse livers prevented development of hyperglycemia. Molecular Therapy. 34(1). 527–539.
3.
Snyder, Nathaniel W., et al.. (2024). The helminth‐derived peptide, FhHDM‐1, reverses the trained phenotype of NOD bone‐marrow‐derived macrophages and regulates proinflammatory responses. European Journal of Immunology. 54(6). e2350643–e2350643. 2 indexed citations
4.
O’Brien, Bronwyn A., et al.. (2023). How do parasitic worms prevent diabetes? An exploration of their influence on macrophage and β-cell crosstalk. Frontiers in Endocrinology. 14. 1205219–1205219. 8 indexed citations
5.
O’Brien, Bronwyn A., et al.. (2022). Exploring the role of macrophages in determining the pathogenesis of liver fluke infection. Parasitology. 149(10). 1364–1373. 7 indexed citations
6.
Mok, Ellie T. Y., Maria E. Lund, Joyce To, et al.. (2021). The parasite-derived peptide FhHDM-1 activates the PI3K/Akt pathway to prevent cytokine-induced apoptosis of β-cells. Journal of Molecular Medicine. 99(11). 1605–1621. 11 indexed citations
7.
Logan, Grant J., Sharon C. Cunningham, Najah T. Nassif, et al.. (2020). Use of a Hybrid Adeno-Associated Viral Vector Transposon System to Deliver the Insulin Gene to Diabetic NOD Mice. Cells. 9(10). 2227–2227. 9 indexed citations
8.
Martiniello‐Wilks, Rosetta, et al.. (2019). Ex VivoExpansion of Murine MSC Impairs Transcription Factor-Induced Differentiation into Pancreaticβ-Cells. Stem Cells International. 2019. 1–15. 8 indexed citations
9.
Donnelly, Sheila, Wilhelmina M. Huston, Michael Johnson, et al.. (2017). Targeting the master regulator mTOR: a new approach to prevent the neurological of consequences of parasitic infections?. Parasites & Vectors. 10(1). 581–581. 5 indexed citations
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Lund, Maria E., Judith M. Greer, Raquel Alvarado, et al.. (2016). A parasite-derived 68-mer peptide ameliorates autoimmune disease in murine models of Type 1 diabetes and multiple sclerosis. Scientific Reports. 6(1). 37789–37789. 40 indexed citations
13.
Archer, Nicholas, Najah T. Nassif, & Bronwyn A. O’Brien. (2015). Genetic variants of SLC11A1 are associated with both autoimmune and infectious diseases: systematic review and meta-analysis. Genes and Immunity. 16(4). 275–283. 40 indexed citations
14.
Martiniello‐Wilks, Rosetta, et al.. (2014). The use of β-cell transcription factors in engineering artificial β cells from non-pancreatic tissue. Gene Therapy. 22(1). 1–8. 18 indexed citations
15.
Lund, Maria E., Bronwyn A. O’Brien, Andrew T. Hutchinson, et al.. (2014). Secreted Proteins from the Helminth Fasciola hepatica Inhibit the Initiation of Autoreactive T Cell Responses and Prevent Diabetes in the NOD Mouse. PLoS ONE. 9(1). e86289–e86289. 61 indexed citations
16.
Hawthorne, Wayne J., Peta Phillips, Bronwyn A. O’Brien, et al.. (2013). Pancreatic Transdifferentiation in Porcine Liver Following Lentiviral Delivery of Human Furin–Cleavable Insulin. Transplantation Proceedings. 45(5). 1869–1874. 13 indexed citations
17.
O’Brien, Bronwyn A., et al.. (2010). Prostate biopsy in Western Australia 1998–2004. Prostate Cancer and Prostatic Diseases. 13(3). 263–269. 3 indexed citations
18.
O’Brien, Bronwyn A., M. A. Swan, Mark E. Koina, et al.. (2007). Long-term correction of diabetes in rats after lentiviral hepatic insulin gene therapy. Diabetologia. 50(9). 1910–1920. 49 indexed citations
19.
Zhang, Yiqun, Bronwyn A. O’Brien, Jacqueline D. Trudeau, et al.. (2002). In Situ β Cell Death Promotes Priming of Diabetogenic CD8 T Lymphocytes. The Journal of Immunology. 168(3). 1466–1472. 89 indexed citations
20.
O’Brien, Bronwyn A., et al.. (2002). Clearance of apoptotic β-cells is reduced in neonatal autoimmune diabetes-prone rats. Cell Death and Differentiation. 9(4). 457–464. 43 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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