Sandeep Kumar Bansal

406 total citations
12 papers, 277 citations indexed

About

Sandeep Kumar Bansal is a scholar working on Reproductive Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Sandeep Kumar Bansal has authored 12 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Reproductive Medicine, 7 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Sandeep Kumar Bansal's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Sperm and Testicular Function (5 papers) and Ovarian function and disorders (4 papers). Sandeep Kumar Bansal is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Sperm and Testicular Function (5 papers) and Ovarian function and disorders (4 papers). Sandeep Kumar Bansal collaborates with scholars based in India, Saudi Arabia and United States. Sandeep Kumar Bansal's co-authors include Singh Rajender, Satya Narayan Sankhwar, Nishi Gupta, Gopal Gupta, Kiran Singh, Rima Dada, Deepika Jaiswal, Kumarasamy Thangaraj, G. S. Gupta and Vertika Singh and has published in prestigious journals such as PLoS ONE, Scientific Reports and Virus Research.

In The Last Decade

Sandeep Kumar Bansal

12 papers receiving 275 citations

Peers

Sandeep Kumar Bansal
Sandeep Kumar Bansal
Citations per year, relative to Sandeep Kumar Bansal Sandeep Kumar Bansal (= 1×) peers Yung Ming Lin

Countries citing papers authored by Sandeep Kumar Bansal

Since Specialization
Citations

This map shows the geographic impact of Sandeep Kumar Bansal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sandeep Kumar Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Kumar Bansal more than expected).

Fields of papers citing papers by Sandeep Kumar Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandeep Kumar Bansal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sandeep Kumar Bansal. The network helps show where Sandeep Kumar Bansal may publish in the future.

Co-authorship network of co-authors of Sandeep Kumar Bansal

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Kumar Bansal. A scholar is included among the top collaborators of Sandeep Kumar Bansal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandeep Kumar Bansal. Sandeep Kumar Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Shieh, Annie W., Sandeep Kumar Bansal, Zhen Zuo, & Sidney H. Wang. (2023). Transcriptome-wide profiling of acute stress induced changes in ribosome occupancy level using external standards. PLoS ONE. 18(11). e0294308–e0294308. 1 indexed citations
2.
Singh, Vertika, et al.. (2022). Coding and regulatory transcriptome comparisons between fertile and infertile spermatozoa identify RNA signatures of male infertility. Andrologia. 54(7). e14437–e14437. 7 indexed citations
3.
Singh, Vertika, Sandeep Kumar Bansal, Arijit Chakraborty, et al.. (2018). SNPs in ERCC1, ERCC2, and XRCC1 genes of the DNA repair pathway and risk of male infertility in the Asian populations: association study, meta-analysis, and trial sequential analysis. Journal of Assisted Reproduction and Genetics. 36(1). 79–90. 13 indexed citations
4.
Bansal, Sandeep Kumar, et al.. (2018). Characterization of a new virulent phage ϕMC1 specific to Microbulbifer strain CMC-5. Virus Research. 257. 7–13. 3 indexed citations
5.
Bansal, Sandeep Kumar, Deepika Jaiswal, Nishi Gupta, et al.. (2016). Gr/gr deletions on Y-chromosome correlate with male infertility: an original study, meta-analyses and trial sequential analyses. Scientific Reports. 6(1). 19798–19798. 55 indexed citations
6.
Bansal, Sandeep Kumar, G. S. Gupta, & Singh Rajender. (2016). Y chromosome b2/b3 deletions and male infertility: A comprehensive meta-analysis, trial sequential analysis and systematic review. Mutation Research/Reviews in Mutation Research. 768. 78–90. 16 indexed citations
7.
Sarkar, Saumya, Sandeep Kumar Bansal, Vertika Singh, et al.. (2016). Is MTHFR 677 C>T Polymorphism Clinically Important in Polycystic Ovarian Syndrome (PCOS)? A Case-Control Study, Meta-Analysis and Trial Sequential Analysis. PLoS ONE. 11(3). e0151510–e0151510. 13 indexed citations
8.
Sankhwar, Satya Narayan, et al.. (2016). Polymorphisms in the XPC gene affect urinary bladder cancer risk: a case-control study, meta-analyses and trial sequential analyses. Scientific Reports. 6(1). 27018–27018. 22 indexed citations
9.
Bansal, Sandeep Kumar, Nishi Gupta, Satya Narayan Sankhwar, & Singh Rajender. (2015). Differential Genes Expression between Fertile and Infertile Spermatozoa Revealed by Transcriptome Analysis. PLoS ONE. 10(5). e0127007–e0127007. 122 indexed citations
10.
Rajender, Singh, et al.. (2013). Androgen Receptor CAG Repeats Length Polymorphism and the Risk of Polycystic Ovarian Syndrome (PCOS). PLoS ONE. 8(10). e75709–e75709. 23 indexed citations
11.
12.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026