Bibliometric analysis of research aspects of simple sequence repeats in cultivars

Umang Umang; P K Bharti; Akhtar Husain

doi:10.53730/ijhs.v6nS4.11756

Authors

Umang
anilumang@yahoo.co.in
School of Computer Science, Shri Venkateshwara University, Gajraula, 244236, Uttar Pradesh, India
P K Bharti School of Computer Science, Shri Venkateshwara University, Gajraula, 244236, Uttar Pradesh, India
Akhtar Husain Department of Computer Science & IT, MJP Rohilkhand University, Bareilly, 243006, Uttar Pradesh, India

Keywords:

bibliometric studies, citation analysis, cultivars, simple sequence repeats, VOSviewer

Abstract

Simple sequence repeats are ubiquitous patterns found in prokaryotes and eukaryote genome sequences. Identification and analysis of simple sequence repeat in chloroplast and mitochondrial genome sequences of several crop cultivars and environmentally significant plants have been performed to study genetic diversity, genetic variations, molecular breeding, gene discovery, disease identification, and hypervariability. Considering the versatile nature of microsatellites, a bibliometric analysis of the published global literature related to the study of microsatellites in cultivars from the web of science core collection database was analyzed by VOSviewer to gain insight into the frontier research topics, key researchers, institutes, current trends, technology, full citations and, lead publisher etc. A total of 1700 publications were retrieved, with an average article citation of 22.91 and an H index of 77. In addition, the frontier topics of research and technologies involved were explored from the abstract and title field. This study gives insight into the current and future scientific trends in the identification and analysis of microsatellites in cultivar's genome sequences. Also, it may help professionals and other stakeholders to fill the gap in microsatellites-related research in crops.

Downloads

Download data is not yet available.

References

Adato, A., Sharon, D., Lavi, U., Hillel, J., & Gazit, S. (1995). Application of DNA fingerprints for identification and genetic analyses of mango (Mangifera indica) genotypes. Journal of the American Society for Horticultural Science, 120(2), 259-264.

Akkaya, M. S., Bhagwat, A. A., & Cregan, P. B. (1992). Length polymorphisms of simple sequence repeat DNA in soybean. Genetics, 132(4), 1131–1139. https://doi.org/10.1093/genetics/132.4.1131

Devos, Patrick & Menard, Joël. (2019). Bibliometric analysis of research relating to hypertension reported over the period 1997–2016. Journal of Hypertension: Volume 37 - Issue 11 - p 2116-2122. DOI: 10.1097/HJH.0000000000002143.

Edwards Al, et al. (1990). Automated DNA sequencing of the human HPRT locus, Genomics, Volume 6, Issue 4, Pages 593-608,https://doi.org/10.1016/0888-7543(90)90493

He, C., Poysa, V., & Yu, K. (2003). Development and characterization of simple sequence repeat (SSR) markers and their use in determining relationships among Lycopersicon esculentum cultivars. Theoretical and Applied Genetics, 106(2), 363-373.

Lee, I. S., Lee, H., Chen, Y. H., & Chae, Y. (2020). Bibliometric Analysis of Research Assessing the Use of Acupuncture for Pain Treatment Over the Past 20 Years. Journal of pain research, 13, 367–376. https://doi.org/10.2147/JPR.S235047

Levi, A., & Rowland, L. J. (1997). Identifying blueberry cultivars and evaluating their genetic relationships using randomly amplified polymorphic DNA (RAPD) and simple sequence repeat-(SSR-) anchored primers. Journal of the American Society for Horticultural Science, 122(1), 74-78.

Litt, M. & Luty, J.A. (1989). A hypervariable microsatellite revealed by in-vitro amplification of dinucleotide repeat within the cardiac muscle actin gene. American of Journal of Human Genetics, 44(3), 397-401.

Mhameed, S., Sharon, D., Hillel, J., Lahav, E., Kaufman, D., & Lavi, U. (1996). Level of heterozygosity and mode of inheritance of variable number of tandem repeat loci in avocado. Journal of the American Society for Horticultural Science, 121(5), 768-772.

N. Donthu, S. Kumar, N. Pandey, & W.M. Lim. (2021). Research constituents, intellectual structure, and collaboration patterns in Journal of International Marketing: An analytical retrospective. Journal of International Marketing. Available at doi:10.1177/1069031X211004234 (in press).

Sweileh, W.M. (2020). Bibliometric analysis of peer-reviewed literature on climate change and human health with an emphasis on infectious diseases. Global Health 16, 44. https://doi.org/10.1186/s12992-020-00576-1

Tyagi, S and Bharadwaj, S N., (2021). Bibliometric Analysis of Papers Published During 2016-2020 in ‘Tulsi Prajna’ Research Journal". Library Philosophy and Practice (e-journal). 5165. https://digitalcommons.unl.edu/libphilprac/5165

Umang & Pandey, D. K. (2022). A bibliometric analysis of application of big data tools in electoral campaigns by using VOSviewer. Third Concept, Vol. 35(420), 46-49.

Van Eck, N.J. & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84, 523–538.

Weber, J. L. (1990). Informativeness of human (dC-dA) n·(dG-dT) n polymorphisms. Genomics, 7(4), 524-530.

Xiao, Z., Qin, Y., Xu, Z., Antucheviciene, J., & Zavadskas, E. K. (2022). The Journal Buildings: A Bibliometric Analysis (2011–2021). Buildings, 12(1), 37. https://doi.org/10.3390/buildings12010037

Yu, Yuetian, Li, Yujie, Zhang, Zhongheng Gu, Zhichun, Zhong, Han Zha, et al. (2020). A bibliometric analysis using VOSviewer of publications on COVID-19. Annals of Translational Medicine; Vol 8, No 13 July 2020: Annals of Translational Medicine 2020. https://atm.amegroups.com/article/view/46197