Sudha Warrier

3.1k total citations · 1 hit paper
61 papers, 2.4k citations indexed

About

Sudha Warrier is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Sudha Warrier has authored 61 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 9 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Sudha Warrier's work include Wnt/β-catenin signaling in development and cancer (13 papers), Epigenetics and DNA Methylation (10 papers) and Cancer-related gene regulation (9 papers). Sudha Warrier is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (13 papers), Epigenetics and DNA Methylation (10 papers) and Cancer-related gene regulation (9 papers). Sudha Warrier collaborates with scholars based in India, Australia and Singapore. Sudha Warrier's co-authors include Frank Arfuso, Alan Prem Kumar, Arun Dharmarajan, Gautam Sethi, Muthu K. Shanmugam, T. Subramoniam, G Bhuvanalakshmi, Stephen E. Alves, Carrie T. Drake and Scott P. Herrick and has published in prestigious journals such as The Journal of Comparative Neurology, Scientific Reports and Brain Research.

In The Last Decade

Sudha Warrier

57 papers receiving 2.3k citations

Hit Papers

Type 1 collagen: Synthesis, structure and key functions i... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudha Warrier India 24 1.3k 448 344 305 236 61 2.4k
Tae‐Lin Huh South Korea 27 1.7k 1.3× 448 1.0× 225 0.7× 142 0.5× 263 1.1× 79 3.1k
Jae‐Won Soh South Korea 29 1.6k 1.3× 322 0.7× 199 0.6× 448 1.5× 152 0.6× 53 2.6k
Régis Delage-Mourroux France 23 1.6k 1.2× 348 0.8× 652 1.9× 374 1.2× 169 0.7× 49 2.7k
Giovanni M. Pitari United States 22 1.1k 0.9× 197 0.4× 160 0.5× 392 1.3× 185 0.8× 53 2.4k
Sung Hee Um South Korea 26 3.2k 2.6× 346 0.8× 241 0.7× 289 0.9× 192 0.8× 56 4.7k
Florian Überall Austria 30 1.6k 1.3× 372 0.8× 144 0.4× 512 1.7× 153 0.6× 64 2.7k
Nadine Hempel United States 35 2.2k 1.8× 652 1.5× 147 0.4× 526 1.7× 305 1.3× 72 3.6k
Hongyu Zhou China 27 1.5k 1.2× 278 0.6× 117 0.3× 483 1.6× 105 0.4× 61 2.8k
Hiroaki Konishi Japan 25 2.7k 2.1× 280 0.6× 152 0.4× 275 0.9× 304 1.3× 60 3.6k
Muralidharan Anbalagan United States 24 688 0.5× 220 0.5× 190 0.6× 390 1.3× 69 0.3× 57 1.6k

Countries citing papers authored by Sudha Warrier

Since Specialization
Citations

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

Fields of papers citing papers by Sudha Warrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudha Warrier

This figure shows the co-authorship network connecting the top 25 collaborators of Sudha Warrier. A scholar is included among the top collaborators of Sudha Warrier 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 Sudha Warrier. Sudha Warrier 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.
Dharmarajan, Arun, et al.. (2025). Development of In Vitro Parkinson's Disease Model Mediated by MPP + and α‐Synuclein Using Wharton's Jelly Mesenchymal Stem Cells. CNS Neuroscience & Therapeutics. 31(4). e70299–e70299.
2.
Dharmarajan, Arun, et al.. (2025). Modeling amyotrophic lateral sclerosis with amniotic membrane-derived mesenchymal stem cells: A novel approach for disease modeling. Experimental Cell Research. 446(1). 114449–114449. 1 indexed citations
3.
Singh, Pooja, Julius Xavier Scott, Sudha Warrier, et al.. (2024). Aberrant Lipid Metabolic Signatures in Acute Myeloid Leukemia. Stem Cells. 42(3). 200–215. 3 indexed citations
4.
Dharmarajan, Arun, et al.. (2023). Want of Wnt in Parkinson’s disease: Could sFRP disrupt interplay between Nurr1 and Wnt signaling?. Biochemical Pharmacology. 212. 115566–115566. 9 indexed citations
5.
Arfuso, Frank, et al.. (2023). Navigating Tumour Microenvironment and Wnt Signalling Crosstalk: Implications for Advanced Cancer Therapeutics. Cancers. 15(24). 5847–5847. 5 indexed citations
6.
Sundaram, Sandhya, et al.. (2023). Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence. Metabolites. 13(4). 560–560. 18 indexed citations
8.
Sundaram, Sumati, et al.. (2023). Mesenchymal stem cell‐derived rapid drug screening system for Alzheimer's disease for the identification of novel drugs. Drug Development Research. 84(7). 1496–1512. 5 indexed citations
9.
Biswas, Subhankar, et al.. (2022). An efficient human stem cells derived cardiotoxicity testing platform for testing oncotherapeutic analogues of quercetin and cinnamic acid. Scientific Reports. 12(1). 21362–21362. 2 indexed citations
10.
Dharmarajan, Arun, et al.. (2022). Modulation of reactive oxygen species in cancers: recent advances. Free Radical Research. 56(5-6). 447–470. 6 indexed citations
11.
Warrier, Sudha, et al.. (2022). Wnt antagonist as therapeutic targets in ovarian cancer. The International Journal of Biochemistry & Cell Biology. 145. 106191–106191. 9 indexed citations
13.
Warrier, Sudha, Sreeja C. Sekhar, G Bhuvanalakshmi, et al.. (2016). sFRP-mediated Wnt sequestration as a potential therapeutic target for Alzheimer’s disease. The International Journal of Biochemistry & Cell Biology. 75. 104–111. 17 indexed citations
14.
Visweswaran, Malini, Veeradasan Perumal, Frank Arfuso, et al.. (2014). Epigenetic regulation of the secreted frizzled-related protein family in human glioblastoma multiforme. Cancer Gene Therapy. 21(7). 297–303. 34 indexed citations
15.
16.
Warrier, Sudha, et al.. (2012). Study of chemoresistant CD133+ cancer stem cells from human glioblastoma cell line U138MG using multiple assays. Cell Biology International. 36(12). 1137–1143. 23 indexed citations
17.
Wang, Gang, Carrie T. Drake, Mariya Rozenblit, et al.. (2006). Evidence that estrogen directly and indirectly modulates C1 adrenergic bulbospinal neurons in the rostral ventrolateral medulla. Brain Research. 1094(1). 163–178. 50 indexed citations
18.
Sun, Wanying, L. D. Cama, Elizabeth T. Birzin, et al.. (2006). 6H-Benzo[c]chromen-6-one derivatives as selective ERβ agonists. Bioorganic & Medicinal Chemistry Letters. 16(6). 1468–1472. 125 indexed citations
19.
Milner, Teresa A., Kehinde A. Ayoola, Carrie T. Drake, et al.. (2005). Ultrastructural localization of estrogen receptor β immunoreactivity in the rat hippocampal formation. The Journal of Comparative Neurology. 491(2). 81–95. 300 indexed citations
20.
Warrier, Sudha, Radhakrishna S. Tirumalai, & T. Subramoniam. (2001). Occurrence of vertebrate steroids, estradiol 17β and progesterone in the reproducing females of the mud crab Scylla serrata. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 130(2). 283–294. 95 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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