Leigh J. Hodson

445 total citations
9 papers, 321 citations indexed

About

Leigh J. Hodson is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Leigh J. Hodson has authored 9 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Immunology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Leigh J. Hodson's work include Cancer Cells and Metastasis (4 papers), AI in cancer detection (3 papers) and Reproductive System and Pregnancy (3 papers). Leigh J. Hodson is often cited by papers focused on Cancer Cells and Metastasis (4 papers), AI in cancer detection (3 papers) and Reproductive System and Pregnancy (3 papers). Leigh J. Hodson collaborates with scholars based in Australia, United Kingdom and United States. Leigh J. Hodson's co-authors include Wendy V. Ingman, Sarah A. Robertson, Andreas Evdokiou, Erik W. Thompson, Kara L. Britt, Cecilia W. Huo, Lachlan M. Moldenhauer, Dexing Huang, Ewan J. McGhee and Michael A. Henderson and has published in prestigious journals such as Development, International Journal of Molecular Sciences and Biology of Reproduction.

In The Last Decade

Leigh J. Hodson

7 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leigh J. Hodson Australia 7 178 109 79 76 57 9 321
Tor Audun Klingen Norway 11 197 1.1× 66 0.6× 64 0.8× 81 1.1× 134 2.4× 21 353
Miki Yamaguchi Japan 13 184 1.0× 108 1.0× 76 1.0× 88 1.2× 35 0.6× 33 436
Christian H. Bergsland Norway 10 153 0.9× 81 0.7× 127 1.6× 65 0.9× 62 1.1× 14 299
Charles O. Brown United States 10 112 0.6× 106 1.0× 149 1.9× 46 0.6× 77 1.4× 13 375
Diana Hodorowicz‐Zaniewska Poland 8 125 0.7× 99 0.9× 75 0.9× 76 1.0× 32 0.6× 42 308
Guangdong Qiao China 9 97 0.5× 95 0.9× 105 1.3× 84 1.1× 40 0.7× 31 264
Eugene Kim United States 10 160 0.9× 69 0.6× 127 1.6× 109 1.4× 96 1.7× 24 378
Tess A. O’Meara United States 10 246 1.4× 110 1.0× 103 1.3× 142 1.9× 70 1.2× 25 403
Yuwen Cao China 10 102 0.6× 68 0.6× 272 3.4× 130 1.7× 40 0.7× 23 428
Nianyuan Ye China 9 160 0.9× 131 1.2× 111 1.4× 52 0.7× 93 1.6× 13 348

Countries citing papers authored by Leigh J. Hodson

Since Specialization
Citations

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

Fields of papers citing papers by Leigh J. Hodson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leigh J. Hodson. 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 Leigh J. Hodson. The network helps show where Leigh J. Hodson may publish in the future.

Co-authorship network of co-authors of Leigh J. Hodson

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

All Works

9 of 9 papers shown
1.
Hodson, Leigh J., Theresa E. Hickey, Wayne D. Tilley, et al.. (2025). A Deep Learning Approach for the Classification of Fibroglandular Breast Density in Histology Images of Human Breast Tissue. Cancers. 17(3). 449–449.
2.
Walsh, David, Pallave Dasari, Leigh J. Hodson, et al.. (2024). Factors Associated with Increased Knowledge about Breast Density in South Australian Women Undergoing Breast Cancer Screening. Cancers. 16(5). 893–893.
3.
Hodson, Leigh J., Lucy Woolford, Mark B. Van der Hoek, et al.. (2023). CCL2-Mediated Stromal Interactions Drive Macrophage Polarization to Increase Breast Tumorigenesis. International Journal of Molecular Sciences. 24(8). 7385–7385. 11 indexed citations
4.
Sun, Xuan, Danielle J. Glynn, Leigh J. Hodson, et al.. (2021). Attenuated TGFB signalling in macrophages decreases susceptibility to DMBA-induced mammary cancer in mice. Breast Cancer Research. 23(1). 39–39. 19 indexed citations
5.
Sun, Xuan, Danielle J. Glynn, Leigh J. Hodson, et al.. (2017). CCL2-driven inflammation increases mammary gland stromal density and cancer susceptibility in a transgenic mouse model. Breast Cancer Research. 19(1). 4–4. 55 indexed citations
6.
Huo, Cecilia W., Grace Chew, Prue Hill, et al.. (2015). High mammographic density is associated with an increase in stromal collagen and immune cells within the mammary epithelium. Breast Cancer Research. 17(1). 79–79. 128 indexed citations
7.
Dasari, Pallave, David J. Sharkey, Danielle J. Glynn, et al.. (2014). Hormonal regulation of the cytokine microenvironment in the mammary gland. Journal of Reproductive Immunology. 106. 58–66. 15 indexed citations
8.
Hodson, Leigh J., et al.. (2013). Macrophage Phenotype in the Mammary Gland Fluctuates over the Course of the Estrous Cycle and Is Regulated by Ovarian Steroid Hormones1. Biology of Reproduction. 89(3). 65–65. 29 indexed citations
9.
Hodson, Leigh J., et al.. (2010). Dual roles for macrophages in ovarian cycle-associated development and remodelling of the mammary gland epithelium. Development. 137(24). 4229–4238. 64 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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2026