Scientometric Mapping and Visualization of Global Research Output on Diabetic Retinopathy Using Biblioshiny and VOSviewer
Author(s): 1. SAMYAK PRATIK PATTANAIK, 2. Dr BIKRAM KISHORE BEURA
Authors Affiliations:
1Research Scholar, Department of Library and Information Science, Sambalpur University, India
2Assistant Professor, Department of Library and Information Science, Sambalpur University, India
DOIs:10.2015/IJIRMF/202605035     |     Paper ID: IJIRMF202605035Samyak Pratik Pattanaik, Dr Bikram Kishore Beura (2026); Scientometric Mapping and Visualization of Global Research Output on Diabetic Retinopathy Using Biblioshiny and VOSviewer, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-12, Issue-5, Available on – https://www.ijirmf.com/
- Caglar, c., Demir, E., kuckler, F. K., & Durmus, M. (2016). A bibliometric analysis of academic publication on diabetic retinopathy disease trends during 1980–2014: A global and medical view. International Journal of Ophthalmology, 9(11), 1663–1668. https://doi.org/10.18240/ijo.2016.11.21
- Lee, R., Wong, T. Y., & Sabanayagam, C. (2015). Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss. Eye and Vision, 2(1), 17. https://doi.org/10.1186/s40662-015-0026-2
- Neelam, K., Dey, S., Sim, R., Lee, J., & Au Eong, K.-G. (2021). Fructus lycii: A natural dietary supplement for amelioration of retinal diseases. Nutrients, 13(1), 246. https://doi.org/10.3390/nu13010246
- Poly, T. N., Islam, Md. M., Walther, B. A., Lin, M. C., & (Jack) Li, Y.-C. (2023). Artificial intelligence in diabetic retinopathy: Bibliometric analysis. Computer Methods and Programs in Biomedicine, 231, 107358. https://doi.org/10.1016/j.cmpb.2023.107358
- Shao, A., Jin, K., Li, Y., Lou, L., Zhou, W., & Ye, J. (2022). Overview of global publications on machine learning in diabetic retinopathy from 2011 to 2021: Bibliometric analysis. Frontiers in Endocrinology, 13, 1032144. https://doi.org/10.3389/fendo.2022.1032144
- Tao, Y., Hou, J., Zhou, G., & Zhang, D. (2025). Artificial intelligence applied to diabetes complications: A bibliometric analysis. Frontiers in Artificial Intelligence, 8, 1455341. https://doi.org/10.3389/frai.2025.1455341
- Teo, Z. L., Tham, Y.-C., Yu, M., Chee, M. L., Rim, T. H., Cheung, N., Bikbov, M. M., Wang, Y. X., Tang, Y., Lu, Y., Wong, I. Y., Ting, D. S. W., Tan, G. S. W., Jonas, J. B., Sabanayagam, C., Wong, T. Y., & Cheng, C.-Y. (2021). Global prevalence of diabetic retinopathy and projection of burden through 2045. Ophthalmology, 128(11), 1580–1591. https://doi.org/10.1016/j.ophtha.2021.04.027
- Xiao, H., Tang, J., Zhang, F., Liu, L., Zhou, J., Chen, M., Li, M., Wu, X., Nie, Y., & Duan, J. (2023). Global trends and performances in diabetic retinopathy studies: A bibliometric analysis. Frontiers in Public Health, 11, 1128008. https://doi.org/10.3389/fpubh.2023.1128008
- Youn, B.-Y., Lee, S.-Y., Cho, W., Bae, K.-R., Ko, S.-G., & Cheon, C. (2022). Global trends of nutrition in cancer research: A bibliometric and visualized analysis study over the past 10 years. International Journal of Environmental Research and Public Health, 19(7), 4165. https://doi.org/10.3390/ijerph19074165
- Zhang, Q., Zhang, P., Chen, N., Zhu, Z., Li, W., & Wang, Q. (2024). Trends and hotspots in the field of diabetic retinopathy imaging research from 2000–2023. Frontiers in Medicine, 11, 1481088. https://doi.org/10.3389/fmed.2024.1481088
- Zhao, R., & Gillani, S. (2026). AI in ophthalmology: A bibliometric analysis of retinal imaging innovations and global research collaboration. Photodiagnosis and Photodynamic Therapy, 59, 105458. https://doi.org/10.1016/j.pdpdt.2026.105458

