Siobhán O’Sullivan

592 total citations
37 papers, 359 citations indexed

About

Siobhán O’Sullivan is a scholar working on Molecular Biology, Education and Surgery. According to data from OpenAlex, Siobhán O’Sullivan has authored 37 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Education and 4 papers in Surgery. Recurrent topics in Siobhán O’Sullivan's work include Problem and Project Based Learning (5 papers), Analytical Chemistry and Chromatography (3 papers) and Protein purification and stability (3 papers). Siobhán O’Sullivan is often cited by papers focused on Problem and Project Based Learning (5 papers), Analytical Chemistry and Chromatography (3 papers) and Protein purification and stability (3 papers). Siobhán O’Sullivan collaborates with scholars based in United Arab Emirates, Ireland and United States. Siobhán O’Sullivan's co-authors include David Sheehan, Ashkan Madadlou, María Hayes, Tomás Lafarga, Nora M. O’Brien, Rajesh Chandwani, Manoj Motiani, John Davenport, C Moriarty and Selma Hamimed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and FEBS Letters.

In The Last Decade

Siobhán O’Sullivan

35 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siobhán O’Sullivan United Arab Emirates 11 124 36 33 32 29 37 359
Jungeun Kim South Korea 12 100 0.8× 24 0.7× 23 0.7× 40 1.3× 28 1.0× 48 528
Kamarajan Rajagopalan India 7 136 1.1× 8 0.2× 36 1.1× 37 1.2× 53 1.8× 16 701
Xinyu Han China 12 88 0.7× 47 1.3× 26 0.8× 37 1.2× 17 0.6× 38 571
Lei Lin China 11 53 0.4× 14 0.4× 16 0.5× 36 1.1× 25 0.9× 30 299
Chia-Hui Lin Taiwan 12 134 1.1× 88 2.4× 34 1.0× 15 0.5× 12 0.4× 30 597
So-Young Oh South Korea 8 224 1.8× 74 2.1× 37 1.1× 39 1.2× 12 0.4× 13 554
Helen Watson United Kingdom 9 162 1.3× 31 0.9× 20 0.6× 4 0.1× 33 1.1× 21 350
Claudio Fuentes Chile 13 31 0.3× 11 0.3× 37 1.1× 16 0.5× 11 0.4× 63 536
Idowu Adegbilero‐Iwari Nigeria 9 17 0.1× 18 0.5× 56 1.7× 11 0.3× 13 0.4× 28 311

Countries citing papers authored by Siobhán O’Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Siobhán O’Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siobhán O’Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Siobhán O’Sullivan. A scholar is included among the top collaborators of Siobhán O’Sullivan 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 Siobhán O’Sullivan. Siobhán O’Sullivan 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.
Henschel, Andreas, Hao Zhou, Jorge P. Zubelli, et al.. (2025). Improving T2D machine learning-based prediction accuracy with SNPs and younger age. Computational and Structural Biotechnology Journal. 27. 2772–2781. 1 indexed citations
2.
O’Sullivan, Siobhán, et al.. (2025). From omics to AI —mapping the pathogenic pathways in type 2 diabetes. FEBS Letters. 599(22). 3244–3280. 3 indexed citations
3.
O’Sullivan, Siobhán, et al.. (2024). PHACTR1 and APOC1 genetic variants are associated with multi-vessel coronary artery disease. Lipids in Health and Disease. 23(1). 332–332. 1 indexed citations
4.
O’Sullivan, Siobhán, Daniel E. Platt, Andreas Henschel, et al.. (2023). Coronary artery disease patients with rs7904519 (TCF7L2) are at a persistent risk of type 2 diabetes. Diabetes Research and Clinical Practice. 207. 111052–111052. 2 indexed citations
5.
Venkatachalam, Thenmozhi, Siobhán O’Sullivan, Daniel E. Platt, et al.. (2023). The impact of forced displacement: trauma, increased levels of inflammation and early presentation of diabetes in women Syrian refugees. Journal of Public Health. 45(3). e437–e446. 4 indexed citations
6.
Venkatachalam, Thenmozhi, Dominique Gauguier, Antoine Abchee, et al.. (2023). Genetic Variants in PHACTR1 & LPL Mediate Restenosis Risk in Coronary Artery Patients. Vascular Health and Risk Management. Volume 19. 83–92. 3 indexed citations
7.
Ghassibe‐Sabbagh, Michella, Daniel E. Platt, Andreas Henschel, et al.. (2023). Elevated Lp(a) Levels Correlate with Severe and Multiple Coronary Artery Stenotic Lesions. Vascular Health and Risk Management. Volume 19. 31–41. 6 indexed citations
8.
9.
Gomes, Patrícia Rodrigues Lourenço, Fernanda Gaspar do Amaral, Siobhán O’Sullivan, et al.. (2022). Urinary Angiotensinogen-Melatonin Ratio in Gestational Diabetes and Preeclampsia. Frontiers in Molecular Biosciences. 9. 800638–800638. 4 indexed citations
10.
O’Sullivan, Siobhán, Luciana Aparecida Campos, & Ovidiu Constantin Baltatu. (2022). “Involve Me and I Learn”: Active Learning in a Hybrid Medical Biochemistry First Year Course on an American-Style MD Program in the UAE. Medical Science Educator. 32(3). 703–709. 2 indexed citations
11.
O’Sullivan, Siobhán, et al.. (2022). Heart Rate Variability Indices as Possible Biomarkers for the Severity of Post-traumatic Stress Disorder Following Pregnancy Loss. Frontiers in Psychiatry. 12. 700920–700920. 11 indexed citations
12.
Hamimed, Selma, et al.. (2021). Novel static magnetic field effects on green chemistry biosynthesis of silver nanoparticles in Saccharomyces cerevisiae. Scientific Reports. 11(1). 20078–20078. 22 indexed citations
13.
O’Sullivan, Siobhán, M.E.E. Ball, Emma J Mcdonald, et al.. (2020). Biofortification of Chicken Eggs with Vitamin K—Nutritional and Quality Improvements. Foods. 9(11). 1619–1619. 10 indexed citations
14.
Madadlou, Ashkan, Siobhán O’Sullivan, & David Sheehan. (2016). Fast Protein Liquid Chromatography. Methods in molecular biology. 365–373. 13 indexed citations
15.
Cope, Georgina, Gaurav Kaushik, Siobhán O’Sullivan, & Vincent Healy. (2013). Gamma-melanocyte stimulating hormone regulates the expression and cellular localization of epithelial sodium channel in inner medullary collecting duct cells. Peptides. 47. 54–59. 1 indexed citations
16.
Sheehan, David & Siobhán O’Sullivan. (2011). Online homology modelling as a means of bridging the sequence-structure gap. PubMed. 2(6). 299–305. 10 indexed citations
17.
Madadlou, Ashkan, Siobhán O’Sullivan, & David Sheehan. (2010). Fast Protein Liquid Chromatography. Methods in molecular biology. 1485. 439–447. 25 indexed citations
18.
Sheehan, David V. & Siobhán O’Sullivan. (2004). Fast Protein Liquid Chromatography. Humana Press eBooks. 244. 253–258. 7 indexed citations
19.
O’Sullivan, Siobhán, et al.. (2004). Glutathione transferase-like proteins encoded in genomes of yeasts and fungi: insights into evolution of a multifunctional protein superfamily. FEMS Microbiology Letters. 242(1). 1–12. 65 indexed citations
20.
Sheehan, David, et al.. (1998). Design of Emulsification Peptides. Advances in food and nutrition research. 42. 93–129. 2 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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