Owen M. Siggs

5.0k total citations
67 papers, 1.9k citations indexed

About

Owen M. Siggs is a scholar working on Ophthalmology, Molecular Biology and Immunology. According to data from OpenAlex, Owen M. Siggs has authored 67 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Ophthalmology, 23 papers in Molecular Biology and 20 papers in Immunology. Recurrent topics in Owen M. Siggs's work include Glaucoma and retinal disorders (25 papers), Retinal Diseases and Treatments (16 papers) and Immune Cell Function and Interaction (12 papers). Owen M. Siggs is often cited by papers focused on Glaucoma and retinal disorders (25 papers), Retinal Diseases and Treatments (16 papers) and Immune Cell Function and Interaction (12 papers). Owen M. Siggs collaborates with scholars based in Australia, United States and United Kingdom. Owen M. Siggs's co-authors include Bruce Beutler, Adrian Liston, Jamie E. Craig, Xiaohong Li, Emmanuelle Souzeau, Anselm Enders, Christopher C. Goodnow, Carrie Arnold, Yu Xia and Alex W. Hewitt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Owen M. Siggs

65 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Owen M. Siggs Australia 26 873 715 350 267 258 67 1.9k
Show‐Li Chen Taiwan 26 799 0.9× 272 0.4× 204 0.6× 224 0.8× 145 0.6× 66 1.5k
Elisha Roberson United States 17 1.4k 1.6× 838 1.2× 1.0k 2.9× 289 1.1× 199 0.8× 29 2.8k
Mogens Holst Nissen Denmark 32 894 1.0× 1.2k 1.6× 621 1.8× 142 0.5× 403 1.6× 103 2.5k
Harald Stephan Germany 17 1.0k 1.2× 667 0.9× 136 0.4× 134 0.5× 84 0.3× 27 2.0k
María C. Garrido Spain 17 1.3k 1.5× 319 0.4× 667 1.9× 176 0.7× 99 0.4× 43 2.2k
Joel Martin United States 14 656 0.8× 253 0.4× 600 1.7× 57 0.2× 548 2.1× 21 1.9k
Nalini S. Bora United States 33 779 0.9× 1.2k 1.6× 1.6k 4.6× 88 0.3× 635 2.5× 84 2.8k
Yoshifumi Fujita Japan 17 582 0.7× 69 0.1× 221 0.6× 282 1.1× 170 0.7× 53 1.3k
Masaru Taniguchi Japan 24 650 0.7× 1.0k 1.4× 36 0.1× 227 0.9× 233 0.9× 65 2.0k
Klara Valyi‐Nagy United States 20 466 0.5× 157 0.2× 149 0.4× 81 0.3× 43 0.2× 46 967

Countries citing papers authored by Owen M. Siggs

Since Specialization
Citations

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

Fields of papers citing papers by Owen M. Siggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Owen M. Siggs. 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 Owen M. Siggs. The network helps show where Owen M. Siggs may publish in the future.

Co-authorship network of co-authors of Owen M. Siggs

This figure shows the co-authorship network connecting the top 25 collaborators of Owen M. Siggs. A scholar is included among the top collaborators of Owen M. Siggs 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 Owen M. Siggs. Owen M. Siggs 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
1.
Hassall, Mark, et al.. (2025). Development and evaluation of patient-centred polygenic risk score reports for glaucoma screening. BMC Medical Genomics. 18(1). 21–21.
2.
Lu, Qinyi, Sandy Hung, Alexander J. Barnett, et al.. (2024). High throughput functional profiling of genes at intraocular pressure loci reveals distinct networks for glaucoma. Human Molecular Genetics. 33(9). 739–751. 5 indexed citations
3.
Keane, Miriam C., et al.. (2024). Healthcare professionals' knowledge and attitudes towards polygenic risk testing for glaucoma. Clinical and Experimental Ophthalmology. 52(9). 957–972. 4 indexed citations
4.
Hassall, Mark, et al.. (2024). Polygenic Risk Scores Driving Clinical Change in Glaucoma. Annual Review of Genomics and Human Genetics. 25(1). 287–308. 4 indexed citations
5.
Lu, Qinyi, Sandy Hung, Son N. Tran, et al.. (2024). Deep Learning-Based Identification of Intraocular Pressure-Associated Genes Influencing Trabecular Meshwork Cell Morphology. SHILAP Revista de lepidopterología. 4(4). 100504–100504. 4 indexed citations
6.
White, Sam, Ajay Taranath, Deepa Taranath, et al.. (2023). Neuroimaging Findings in Axenfeld-Rieger Syndrome: A Case Series. American Journal of Neuroradiology. 44(10). 1231–1235. 1 indexed citations
7.
Hassall, Mark, Shari Javadiyan, Sonja Klebe, et al.. (2023). Phenotypic consequences of a nanophthalmos-associated TMEM98 variant in human and mouse. Scientific Reports. 13(1). 11017–11017. 2 indexed citations
8.
Burdon, Kathryn P., John D. Hulleman, Francesca Pasutto, et al.. (2022). Specifications of the ACMG/AMP variant curation guidelines for myocilin: Recommendations from the clingen glaucoma expert panel. Human Mutation. 43(12). 2170–2186. 11 indexed citations
10.
Souzeau, Emmanuelle, Owen M. Siggs, Sean Mullany, et al.. (2022). Diagnostic yield of candidate genes in an Australian corneal dystrophy cohort. Molecular Genetics & Genomic Medicine. 10(10). e2023–e2023. 4 indexed citations
11.
Siggs, Owen M., Bronwyn Ridge, Miriam C. Keane, et al.. (2022). Attitudes Toward Glaucoma Genetic Risk Assessment in Unaffected Individuals. Translational Vision Science & Technology. 11(10). 38–38. 6 indexed citations
12.
Qassim, Ayub, et al.. (2021). Risk Stratification and Clinical Utility of Polygenic Risk Scores in Ophthalmology. Translational Vision Science & Technology. 10(6). 14–14. 17 indexed citations
13.
Siggs, Owen M., Mona S. Awadalla, Emmanuelle Souzeau, et al.. (2020). The genetic and clinical landscape of nanophthalmos and posterior microphthalmos in an Australian cohort. Clinical Genetics. 97(5). 764–769. 19 indexed citations
14.
Siggs, Owen M., Amanda J. Russell, Davinder Singh‐Grewal, et al.. (2019). Preponderance of CTLA4 Variation Associated With Autosomal Dominant Immune Dysregulation in the MYPPPY Motif. Frontiers in Immunology. 10. 1544–1544. 12 indexed citations
15.
Wang, Tao, Chun Hui Bu, Sara Hildebrand, et al.. (2018). Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database. Nature Communications. 9(1). 441–441. 27 indexed citations
16.
Siggs, Owen M., Daniel L. Popkin, Philippe Krebs, et al.. (2015). Mutation of the ER retention receptor KDELR1 leads to cell-intrinsic lymphopenia and a failure to control chronic viral infection. Proceedings of the National Academy of Sciences. 112(42). E5706–14. 13 indexed citations
17.
Awadalla, Mona S., John H. Fingert, Simon Chen, et al.. (2014). Copy Number Variations of TBK1 in Australian Patients With Primary Open-Angle Glaucoma. American Journal of Ophthalmology. 159(1). 124–130.e1. 64 indexed citations
18.
Siggs, Owen M., Xiaohong Li, Yu Xia, & Bruce Beutler. (2011). ZBTB1 is a determinant of lymphoid development. The Journal of Experimental Medicine. 209(1). 19–27. 33 indexed citations
19.
Siggs, Owen M., Bernd Schnabl, Bill D. Webb, & Bruce Beutler. (2011). X-linked cholestasis in mouse due to mutations of the P4-ATPase ATP11C. Proceedings of the National Academy of Sciences. 108(19). 7890–7895. 52 indexed citations
20.
Mérino, Delphine, Maybelline Giam, Peter Hughes, et al.. (2009). The role of BH3-only protein Bim extends beyond inhibiting Bcl-2–like prosurvival proteins. The Journal of Cell Biology. 186(3). 355–362. 149 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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