Research outputs per year
Research outputs per year
Personal profile
Qualifications
Doctor of Philosophy
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Dive into the research topics where Wilson Wong is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Human islet miR-199a-5p and miR-214-3p associate with donor age, BMI, and sex and mediate cellular aging in islet-derived cells
Wong, W. K. M., El-Azzi, I., Nachanekar, A., Alvandi, E., Pham, N. H. T., Hardikar, H. P., Polkamp, M., Saini, V., Cheng, F., Jiang, G., Sørensen, A. E., Chew, Y. V., Thomas, H. E., Loudovaris, T., Ma, R. C. W., Hawthorne, W. J., Dalgaard, L. T., Joglekar, M. V. & Hardikar, A. A., Aug 2026, In: Acta Physiologica. 242, 8, 15 p., e70277.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Nanozyme aptasensor array for predictive sensing of virulent and antibiotic-resistant Staphylococcus aureus strains
Weerathunge, P., Yazdani, M., Sharma, T. K., Wong, W. K. M., Joglekar, M. V., Hardikar, A. A., Rotello, V. M., Ramanathan, R. & Bansal, V., 2026, In: Small. 22, 15, 9 p., e12266.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)10 Downloads (Pure) -
Novel molecular signatures of peripheral regulatory t cells in kidney disease associated with Type 1 Diabetes
Bansal, A., Wong, S. W., Wong, W. K. M., Best, G., James, S., Glastras, S., Pena, A., Qin, C. X., Tan, S. M., Deliyanti, D., Rojas-Canales, D. M., Joglekar, M. V. & Ekinci, E. I., Mar 2026, In: Kidney 360. 7, 3, p. 501-514 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)17 Downloads (Pure) -
A microRNA-based dynamic risk score for type 1 diabetes
Joglekar, M. V., Wong, W. K. M., Kunte, P. S., Hardikar, H. P., Kulkarni, R. A., Farr, R. J., Pham, H. T. N., Coles, M., Maynard, C. L., Hayward, R., Piya, M. K., Hardikar, A. A., Chimoriya, R., Taylor, C. J., Pereira E Cotta, M. V., Sachithanandan, N., Dong, C. X., Ema, F. K., Perera, S. & Satoor, S. N. & 2 others, , Aug 2025, In: Nature Medicine. 31, 8, p. 2622-2631 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Citations (Scopus)10 Downloads (Pure) -
Plasma multi-omics and machine learning reveal predictive biomarkers for type 2 diabetes and retinopathy in Qatar biobank cohort
Ahmed, I., Bhat, A. A., Jeya, S. P., Wong, W. K. M., Sadida, H. Q., Polkamp, M., Hardikar, H. P., Lakshmi, J., Hussain, S. A., Chin-Smith, E., Ranjan, A. K., Joglekar, M. V., Hardikar, A. A., Fakhro, K. & Akil, A. A. S., Oct 2025, In: Journal of Translational Medicine. 23, 1, 15 p., 1159.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)9 Downloads (Pure)
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Artificial Intelligence-driven multiomic dynamic risk prediction pipeline for diabetes
Wong, W. (PI), Hardikar, A. (Investigator), Joglekar, M. (Investigator), Coles, M. (Investigator), Piya, M. (Investigator) & Pandey, R. (Investigator)
1/06/26 → 31/05/28
Project: Research
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Multi-omics analysis to identify early markers of B-cell loss Via Telethon Kids Institute
Joglekar, M. (PI), Hardikar, A. (Investigator), Wong, W. (Investigator) & Pham, H. T. N. (Investigator)
Rio Tinto Children's Diabetes Centre
1/05/24 → 1/11/25
Project: Research
Datasets
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Short-chain fatty acid concentrations in the incidence and risk-stratification of colorectal cancer: a systematic review and meta-analysis
Alvandi, E., Wong, W. K. M., Joglekar, M. V., Spring, K. J. & Hardikar, A. A., figshare, 2022
DOI: 10.6084/m9.figshare.c.6228398.v1, https://springernature.figshare.com/collections/Short-chain_fatty_acid_concentrations_in_the_incidence_and_risk-stratification_of_colorectal_cancer_a_systematic_review_and_meta-analysis/6228398/1 and one more link, https://springernature.figshare.com/collections/Short-chain_fatty_acid_concentrations_in_the_incidence_and_risk-stratification_of_colorectal_cancer_a_systematic_review_and_meta-analysis/6228398 (show fewer)
Dataset
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Applicability of a microRNA-based Dynamic Risk Score (DRS) for type 1 diabetes
Hardikar, H., Thorat, V., Kunte, P., Kulkarni, R., Pant, A., Wong, W., Joglekar, M. & Hardikar, A., Code Ocean, 11 Jun 2025
DOI: 10.24433/CO.4476520.v1, https://doi.org/10.24433/CO.4476520.v1
Dataset