• Baharuddin Baharuddin Department of Biomedical Sciences Faculty of Medicine Universitas Surabaya
  • Risma Ikawaty Department of Biomedical Sciences Faculty of Medicine Universitas Surabaya



Streptozotocin, Animal Models, Diabetes, Bibliometric


Bibliometric analysis is a relatively new tool in healthcare and therefore does not yet make full use of its potential. This statistical tool analyses scientific publications which further describe trends in academic literature and research in various fields. This study focused on the development of diabetes research using animal models induced by streptozotocin (STZ), a diabetogenic molecule that triggers DNA damage in pancreatic beta cells and causes extreme oxidative stress. 1090 related articles published between 2017-2022 were obtained from the Scopus-Elsevier database using specific keywords “streptozotocin or STZ, animal models, diabetes, intraperitoneal”. Statistical analysis showed 1.67% Annual Growth Rate of publication with 10.66 citation rate per document. Co-occurrence analysis also successfully visualized the main topics related to the mechanism of action of streptozotocin such as oxidative stress, inflammation, rats, diabetic nephropathy, diabetic cardiomyopathy, hyperglycemia, antioxidants, and insulin. An important finding in this study indicated the diabetes research development was not in line with the main problem using animal models that remain unsolved, especially in diabetes research related to pancreatic beta cell proliferation. The result also provided valuable insights of research trends that involved diabetic animal models. The latest research datas are significantly important since it can be used for future research development. Further, more comprehensive information could be achieved by using other databases such as Web of Science (WOS) and Dimension in bibliometric analysis.


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Arifah, F. H., Endro Nugroho, A., Rohman, A., Sujarwo, W., Nugroho, A. E., Noor, H., Ashcroft, S. J. H., & Radcliffe, J. (2023). A bibliometric approach to preclinical studies of Tinospora crispa (L.) Hook. f. & Thomson as an antidiabetic. Indonesian Journal of Pharmacy, 34(1), 24–35.

Baig, N., Sultan, R., & Qureshi, S. A. (2022). Antioxidant and anti-inflammatory activities of Centratherum anthelminticum (L.) Kuntze seed oil in diabetic nephropathy via modulation of Nrf-2/HO-1 and NF-κB pathway. BMC Complementary Medicine and Therapies, 22(1), 1–17.

Bikri, S., Talhaoui, A., Fath, N., Hsaini, A., Benmhammed, H., Ahami, A. O. T., & Aboussaleh, Y. (2022). Insulin supplemented with phenolic fraction concentrates displays anxiolytic and antidepressant-like properties with reductions of oxidative brain damage in chronically stressed diabetic rats. Journal of Herbmed Pharmacology, 11(4), 562–574.

Duan, S., & Zhao, Y. (2023). Knowledge graph analysis of artificial intelligence application research in nursing field based on visualization technology. Alexandria Engineering Journal, 76, 651–667.

Khuram, S., Rehman, Ch. A., Nasir, N., & Elahi, N. S. (2023). A bibliometric analysis of quality assurance in higher education institutions: Implications for assessing university’s societal impact. Evaluation and Program Planning, 99, 102319.

Li, J., Wei, M., Liu, X., Xiao, S., Cai, Y., Li, F., Tian, J., Qi, F., Xu, G., & Deng, C. (2021). The progress, prospects, and challenges of the use of non-coding RNA for diabetic wounds. Molecular Therapy - Nucleic Acids, 24, 554–578.

Matowane, G. R., Mashele, S. S., Makhafola, T. J., & Chukwuma, C. I. (2023). The ameliorative effect of zinc acetate with caffeic acid in the animal model of type 2 diabetes. Biomedicine & Pharmacotherapy, 163, 114779.

Nielsen, S. B., Lemire, S., Bourgeois, I., & Fierro, L. A. (2023). Mapping the evaluation capacity building landscape: A bibliometric analysis of scholarly communities and themes. Evaluation and Program Planning, 99, 102318.

Rahman, M. N., Sukmawati, I. R., & Puspitasari, I. M. (2019). Pola Penanda Glikemik dan Inflamasi dalam Perkembangan Penyakit Diabetes Melitus Tipe 2 pada Pria Obesitas Sentral. Indonesian Journal of Clinical Pharmacy, 8(4), 281.

Rahman, T., Zudhy Irawan, M., Tajudin, A. N., Rizka, M., Amrozi, F., & Widyatmoko, I. (2023). Knowledge mapping of cool pavement technologies for urban heat island Mitigation: A Systematic bibliometric analysis. Energy & Buildings, 291, 113133.

Rahmawati, M. I., & Subardjo, A. (2022). A Bibliometric Analysis of Accounting in the Blockchain Era. Journal of Accounting and Investment, 23(1), 66–77.

Saliu, T. P., Kumrungsee, T., Miyata, K., Tominaga, H., Yazawa, N., Hashimoto, K., Kamesawa, M., & Yanaka, N. (2022). Comparative study on molecular mechanism of diabetic myopathy in two different types of streptozotocin-induced diabetic models. Life Sciences, 288, 120183.

Segura-Robles, A., Parra-González, M. E., & Gallardo-Vigil, M. Á. (2020). Bibliometric and collaborative network analysis on active methodologies in education. Journal of New Approaches in Educational Research, 9(2), 259–274.

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Velez-Estevez, A., Perez, I. J., García-Sánchez, P., Moral-Munoz, J. A., & Cobo, M. J. (2023). New trends in bibliometric APIs: A comparative analysis. Information Processing and Management, 60, 103385.