Personal profile
Biography
Professor Robyn Tapp has throughout her career translated population-based data into significant relevance to the individuals who will benefit from primary and secondary prevention of diabetes and its severe complications.
Robyn began her studies on diabetes-related complications as a PhD student at the International Diabetes Institute and Monash University, leading the complications study of the Australian Diabetes Obesity and Lifestyle study (AusDiab), and then carried out post-doctoral research at Imperial College London as part of her NHMRC Sidney Sax Fellowship.
Her collaborative research draws on expertise from the fields of endocrinology, ophthalmology, cardiology and epidemiology. It is only by crossing fields that we are able to develop a cohesive picture of the physiological and pathological mechanisms associated with diabetes and systemic vascular disease and to study how these processes develop over a lifetime, what we can do to detect and manage them, and how these impact society more broadly.
Her range of projects, making use of a network of international collaborations, includes a diabetes prevention trial in India and a life course study on the impact of childhood growth patterns and latent cardiovascular risk factors on the heart and vasculature in adult life in Finland.
Translational research has included the development of an online diabetic retinopathy grading course (now translated into 7 languages), an online management course for diabetic eye disease and the preparation of a successful Medical Services Advisory Committee application to have retinal photography given a Medicare item number in Australia.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
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Associations of long-term cumulative C-reactive protein and glycoprotein acetyls concentrations in childhood, adolescence and adulthood with adulthood retinal microvascular structure
Repo, O., Juonala, M., Niinikoski, H., Rovio, S., Mykkänen, J., Cheung, C. Y., Ala-Korpela, M., Vaahtoranta-Lehtonen, H., Nevalainen, J., Jula, A., Kähönen, M., Lehtimäki, T., Laitinen, T. P., Rönnemaa, T., Viikari, J., Raitakari, O., Tapp, R. & Pahkala, K., Jan 2026, In: Atherosclerosis. 412, 9 p., 120595.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Associations of Cumulative Adulthood, Childhood and Life-long Insulin with Adulthood Retinal Microvasculature
Repo, O., Juonala, M., Rovio, S. P., Mykkänen, J., Nevalainen, J., Kähönen, M., Lehtimäki, T., Laitinen, T. P., Viikari, J., Raitakari, O., Tapp, R. & Pahkala, K., 1 Sept 2025, In: Journal of Clinical Endocrinology and Metabolism. 110, 9, p. e3085–e3092 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)9 Downloads (Pure) -
High-Intensity Interval Training for Individuals With Isolated Impaired Fasting Glucose: Protocol for a Proof-of-Concept Randomized Controlled Trial
Thirunavukkarasu, S., Ziegler, T. R., Weber, M. B., Staimez, L., Lobelo, F., Millard-Stafford, M. L., Schmidt, M. D., Venkatachalam, A., Bajpai, R., El Fil, F., Prokou, M., Kumar, S., Tapp, R. J., Shaw, J. E., Pasquel, F. J. & Nocera, J. R., 20 Feb 2025, (E-pub ahead of print) In: JMIR Research Protocols. 14, 17 p., e59842.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure) -
IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive
Owens, D. R., Gurudas, S., Sivaprasad, S., Zaidi, F., Tapp, R., Kazantzis, D., Evans, L. & Thomas, R. L., Aug 2025, In: Diabetes Research and Clinical Practice. 226, 11 p., 112346.Research output: Contribution to journal › Review article › peer-review
Open AccessFile10 Link opens in a new tab Citations (Scopus)7 Downloads (Pure) -
Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology
UK Biobank Eye and Vision Consortium, Dec 2025, In: Nature Communications. 16, 1, 14 p., 60.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Link opens in a new tab Citations (Scopus)2 Downloads (Pure)