Prabha Sampath

2.6k total citations
36 papers, 1.9k citations indexed

About

Prabha Sampath is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Prabha Sampath has authored 36 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Prabha Sampath's work include RNA Research and Splicing (14 papers), RNA modifications and cancer (10 papers) and Cancer-related molecular mechanisms research (8 papers). Prabha Sampath is often cited by papers focused on RNA Research and Splicing (14 papers), RNA modifications and cancer (10 papers) and Cancer-related molecular mechanisms research (8 papers). Prabha Sampath collaborates with scholars based in Singapore, United States and India. Prabha Sampath's co-authors include Barsanjit Mazumder, Paul L. Fox, Vasudevan Seshadri, Gopinath M. Sundaram, Paul E. DiCorleto, Ratan K. Maitra, Shan Quah, Vivek Tanavde, Hans Reinecke and Charles E. Murry and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Prabha Sampath

35 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prabha Sampath Singapore 17 1.4k 555 171 142 94 36 1.9k
Yuji Sano Japan 19 889 0.6× 315 0.6× 326 1.9× 379 2.7× 110 1.2× 54 1.5k
Alessio D’Alessio Italy 24 723 0.5× 282 0.5× 312 1.8× 163 1.1× 204 2.2× 43 1.6k
Annika Sonntag United Kingdom 13 1.7k 1.2× 773 1.4× 146 0.9× 721 5.1× 207 2.2× 15 2.5k
Hua Jiang China 23 972 0.7× 711 1.3× 541 3.2× 335 2.4× 47 0.5× 61 1.7k
Monica Evangelista Italy 21 1.4k 1.0× 840 1.5× 131 0.8× 78 0.5× 69 0.7× 50 1.8k
Bidesh Mahata United Kingdom 13 627 0.4× 127 0.2× 314 1.8× 261 1.8× 93 1.0× 19 1.2k
Tatsuya Seki Japan 12 976 0.7× 211 0.4× 201 1.2× 253 1.8× 220 2.3× 30 2.5k
Michael B. Duncan United States 17 697 0.5× 132 0.2× 89 0.5× 208 1.5× 341 3.6× 22 1.5k
Emilie Thomas France 20 579 0.4× 357 0.6× 263 1.5× 338 2.4× 47 0.5× 39 1.5k

Countries citing papers authored by Prabha Sampath

Since Specialization
Citations

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

Fields of papers citing papers by Prabha Sampath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabha Sampath

This figure shows the co-authorship network connecting the top 25 collaborators of Prabha Sampath. A scholar is included among the top collaborators of Prabha Sampath 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 Prabha Sampath. Prabha Sampath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sampath, Prabha, et al.. (2025). Psoriasis Treatments: Emerging Roles and Future Prospects of MicroRNAs. Non-Coding RNA. 11(1). 16–16. 2 indexed citations
2.
Chin, Hui San, Jinming Cheng, Maria T. K. Zaldivia, et al.. (2025). MCL‑1 safeguards activated hair follicle stem cells to enable adult hair regeneration. Nature Communications. 16(1). 2829–2829. 3 indexed citations
3.
Allouh, Mohammed Z., Prabha Sampath, Juma Alkaabi, et al.. (2025). Epigenetic crossroads in metabolic and cardiovascular health: the role of DNA methylation in type 2 diabetes and cardiovascular diseases. Cardiovascular Diabetology. 24(1). 231–231. 1 indexed citations
4.
Quah, Shan, et al.. (2024). Breaking barriers: Innovative approaches for skin delivery of RNA therapeutics. International Journal of Pharmaceutics. 661. 124435–124435. 7 indexed citations
5.
Marzooqi, Faisal Al, et al.. (2024). The Long Non‐Coding RNA Obesity‐Related (Obr) Contributes To Lipid Metabolism Through Epigenetic Regulation. Advanced Science. 11(26). e2401939–e2401939. 6 indexed citations
6.
Quah, Shan, et al.. (2024). MicroRNAs: a symphony orchestrating evolution and disease dynamics. Trends in Molecular Medicine. 31(1). 21–35. 11 indexed citations
7.
Liew, Wen Chiy, Gopinath M. Sundaram, Shan Quah, et al.. (2020). Belinostat resolves skin barrier defects in atopic dermatitis by targeting the dysregulated miR-335:SOX6 axis. Journal of Allergy and Clinical Immunology. 146(3). 606–620.e12. 46 indexed citations
8.
Utami, Kagistia Hana, Niels H. Skotte, Ana R. Colaço, et al.. (2020). Integrative Analysis Identifies Key Molecular Signatures Underlying Neurodevelopmental Deficits in Fragile X Syndrome. Biological Psychiatry. 88(6). 500–511. 32 indexed citations
9.
Sundaram, Gopinath M., Mohsin Bashir, Manish Muhuri, et al.. (2017). EGF hijacks miR-198/FSTL1 wound-healing switch and steers a two-pronged pathway toward metastasis. The Journal of Experimental Medicine. 214(10). 2889–2900. 53 indexed citations
10.
Tan, Daniel Shao-Weng, Fui Teen Chong, Hui Sun Leong, et al.. (2017). Long noncoding RNA EGFR-AS1 mediates epidermal growth factor receptor addiction and modulates treatment response in squamous cell carcinoma. Nature Medicine. 23(10). 1167–1175. 132 indexed citations
11.
Nama, Srikanth, Manish Muhuri, Shan Quah, et al.. (2017). C/EBPβ mediates RNA polymerase III-driven transcription of oncomiR-138 in malignant gliomas. Nucleic Acids Research. 46(1). 336–349. 17 indexed citations
12.
Giannakakis, Antonis, Jingxian Zhang, Piroon Jenjaroenpun, et al.. (2015). Contrasting expression patterns of coding and noncoding parts of the human genome upon oxidative stress. Scientific Reports. 5(1). 9737–9737. 55 indexed citations
13.
Qu, Jing, Rya Ero, L.S. Ong, et al.. (2015). Kindlin-3 interacts with the ribosome and regulates c-Myc expression required for proliferation of chronic myeloid leukemia cells. Scientific Reports. 5(1). 18491–18491. 14 indexed citations
14.
Sundaram, Gopinath M. & Prabha Sampath. (2013). Regulation of context-specific gene expression by posttranscriptional switches. Transcription. 4(5). 213–216. 1 indexed citations
15.
Sundaram, Gopinath M., John Common, Declan P. Lunny, et al.. (2013). ‘See-saw’ expression of microRNA-198 and FSTL1 from a single transcript in wound healing. Nature. 495(7439). 103–106. 171 indexed citations
16.
Nama, Srikanth, Pamela Rizk, Srinivas Ramasamy, et al.. (2012). Targeting Glioma Stem Cells by Functional Inhibition of a Prosurvival OncomiR-138 in Malignant Gliomas. Cell Reports. 2(3). 591–602. 84 indexed citations
17.
Sampath, Prabha, David K. Pritchard, Lil Pabon, et al.. (2008). A Hierarchical Network Controls Protein Translation during Murine Embryonic Stem Cell Self-Renewal and Differentiation. Cell stem cell. 2(5). 448–460. 208 indexed citations
18.
Mazumder, Barsanjit, Prabha Sampath, & Paul L. Fox. (2006). Translational control of ceruloplasmin gene expression: Beyond the IRE. Biological Research. 39(1). 59–66. 12 indexed citations
19.
Sampath, Prabha, Barsanjit Mazumder, Vasudevan Seshadri, et al.. (2004). Noncanonical Function of Glutamyl-Prolyl-tRNA Synthetase. Cell. 119(2). 195–208. 213 indexed citations
20.
Mazumder, Barsanjit, Prabha Sampath, Vasudevan Seshadri, et al.. (2003). Regulated Release of L13a from the 60S Ribosomal Subunit as A Mechanism of Transcript-Specific Translational Control. Cell. 115(2). 187–198. 275 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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