Subhashini Sadasivam

1.6k total citations
12 papers, 1.2k citations indexed

About

Subhashini Sadasivam is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Subhashini Sadasivam has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Subhashini Sadasivam's work include Cancer-related Molecular Pathways (4 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (3 papers). Subhashini Sadasivam is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (3 papers). Subhashini Sadasivam collaborates with scholars based in India, United States and Germany. Subhashini Sadasivam's co-authors include James A. DeCaprio, Shenghua Duan, Runsheng Chen, Laurence Florens, X. Shirley Liu, Vel Murugan, Xiaopeng Zhu, Michael P. Washburn, Larisa Litovchick and Selene K. Swanson and has published in prestigious journals such as Journal of Clinical Investigation, Genes & Development and Nature reviews. Cancer.

In The Last Decade

Subhashini Sadasivam

11 papers receiving 1.2k citations

Peers

Subhashini Sadasivam
Anne E. Cheung United States
Deepika Ahuja United States
Harshil Patel United Kingdom
Kelly L. Harms United States
Yuemeng Jia United States
Colleen Schweitzer United States
Michael B. Small United States
Anne E. Cheung United States
Subhashini Sadasivam
Citations per year, relative to Subhashini Sadasivam Subhashini Sadasivam (= 1×) peers Anne E. Cheung

Countries citing papers authored by Subhashini Sadasivam

Since Specialization
Citations

This map shows the geographic impact of Subhashini Sadasivam'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 Subhashini Sadasivam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhashini Sadasivam more than expected).

Fields of papers citing papers by Subhashini Sadasivam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhashini Sadasivam. 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 Subhashini Sadasivam. The network helps show where Subhashini Sadasivam may publish in the future.

Co-authorship network of co-authors of Subhashini Sadasivam

This figure shows the co-authorship network connecting the top 25 collaborators of Subhashini Sadasivam. A scholar is included among the top collaborators of Subhashini Sadasivam 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 Subhashini Sadasivam. Subhashini Sadasivam 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.
Roy, Vincent, et al.. (2024). QLTI-06. NEXT GENERATION SEQUENCING SIGNIFICANTLY IMPROVES THE DIAGNOSTIC ACCURACY IN GLIOBLASTOMAS. Neuro-Oncology. 26(Supplement_8). viii258–viii258.
2.
Ghanekar, Yashoda & Subhashini Sadasivam. (2022). RNA Editing–Associated Post-Transcriptional Gene Regulation in Rheumatoid Arthritis. Bioinformatics and Biology Insights. 16. 749653973–749653973. 4 indexed citations
3.
Sadasivam, Subhashini. (2020). A perspective on challenges and opportunities in characterizing oral cancer stem cells. Frontiers in bioscience. 25(6). 1011–1021. 7 indexed citations
4.
Ghanekar, Yashoda & Subhashini Sadasivam. (2019). In silico analysis reveals a shared immune signature in CASP8 -mutated carcinomas with varying correlations to prognosis. PeerJ. 7. e6402–e6402. 9 indexed citations
5.
Mishra, Amrendra, et al.. (2018). Decreased expression of cell adhesion genes in cancer stem-like cells isolated from primary oral squamous cell carcinomas. Tumor Biology. 40(6). 3726239685–3726239685. 11 indexed citations
6.
Sadasivam, Subhashini & James A. DeCaprio. (2013). The DREAM complex: master coordinator of cell cycle-dependent gene expression. Nature reviews. Cancer. 13(8). 585–595. 383 indexed citations
7.
Sadasivam, Subhashini & James A. DeCaprio. (2013). Erratum: The DREAM complex: master coordinator of cell cycle-dependent gene expression. Nature reviews. Cancer. 13(10). 752–752. 3 indexed citations
8.
Rodig, Scott J., Jingwei Cheng, Andrew DoRosario, et al.. (2012). Improved detection suggests all Merkel cell carcinomas harbor Merkel polyomavirus. Journal of Clinical Investigation. 122(12). 4645–4653. 167 indexed citations
9.
Sadasivam, Subhashini, Shenghua Duan, & James A. DeCaprio. (2012). The MuvB complex sequentially recruits B-Myb and FoxM1 to promote mitotic gene expression. Genes & Development. 26(5). 474–489. 246 indexed citations
10.
Litovchick, Larisa, Subhashini Sadasivam, Laurence Florens, et al.. (2007). Evolutionarily Conserved Multisubunit RBL2/p130 and E2F4 Protein Complex Represses Human Cell Cycle-Dependent Genes in Quiescence. Molecular Cell. 26(4). 539–551. 321 indexed citations
11.
Thalappilly, Subhash, Subhashini Sadasivam, Vegesna Radha, & G. Swarup. (2006). Involvement of caspase 1 and its activator Ipaf upstream of mitochondrial events in apoptosis. FEBS Journal. 273(12). 2766–2778. 21 indexed citations
12.
Sadasivam, Subhashini, Sanjeev Gupta, Vegesna Radha, et al.. (2004). Caspase-1 activator Ipaf is a p53-inducible gene involved in apoptosis. Oncogene. 24(4). 627–636. 58 indexed citations

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.

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