Sundaramoorthy Revathidevi

1.4k total citations · 1 hit paper
16 papers, 1.0k citations indexed

About

Sundaramoorthy Revathidevi is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sundaramoorthy Revathidevi has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Sundaramoorthy Revathidevi's work include PI3K/AKT/mTOR signaling in cancer (3 papers), RNA modifications and cancer (3 papers) and Cervical Cancer and HPV Research (2 papers). Sundaramoorthy Revathidevi is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (3 papers), RNA modifications and cancer (3 papers) and Cervical Cancer and HPV Research (2 papers). Sundaramoorthy Revathidevi collaborates with scholars based in India, Japan and Saudi Arabia. Sundaramoorthy Revathidevi's co-authors include Arasambattu Kannan Munirajan, R. Rajaram, Vaikundamoorthy Ramalingam, Lakshmanan Muthulakshmi, Ituro Inoue, Hirofumi Nakaoka, Avaniyapuram Kannan Murugan, Ganesan Arunkumar, Rajkumar Kottayasamy Seenivasagam and Arunagiri Kuha Deva Magendhra Rao and has published in prestigious journals such as Nature Communications, International Journal of Molecular Sciences and RSC Advances.

In The Last Decade

Sundaramoorthy Revathidevi

15 papers receiving 1.0k citations

Hit Papers

Akt in cancer: Mediator and more 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sundaramoorthy Revathidevi India 10 603 298 146 122 110 16 1.0k
Jialing Zhang China 21 763 1.3× 349 1.2× 220 1.5× 146 1.2× 166 1.5× 65 1.4k
Man Zhu China 17 519 0.9× 336 1.1× 132 0.9× 71 0.6× 64 0.6× 54 891
Samik Chakraborty India 21 654 1.1× 329 1.1× 281 1.9× 48 0.4× 96 0.9× 37 1.2k
Sung‐Gil Chi South Korea 19 732 1.2× 214 0.7× 234 1.6× 52 0.4× 122 1.1× 32 1.1k
Hui Li Ang Singapore 12 500 0.8× 245 0.8× 142 1.0× 50 0.4× 78 0.7× 13 862
Al-Aliaa M. Sallam Egypt 24 771 1.3× 706 2.4× 160 1.1× 106 0.9× 56 0.5× 41 1.3k
Xu He China 19 358 0.6× 281 0.9× 213 1.5× 74 0.6× 143 1.3× 49 912
Xiaotong Hu China 24 1.0k 1.7× 416 1.4× 248 1.7× 215 1.8× 151 1.4× 82 1.7k
Feng‐Hou Gao China 23 886 1.5× 253 0.8× 346 2.4× 101 0.8× 117 1.1× 50 1.4k

Countries citing papers authored by Sundaramoorthy Revathidevi

Since Specialization
Citations

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

Fields of papers citing papers by Sundaramoorthy Revathidevi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sundaramoorthy Revathidevi

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

All Works

16 of 16 papers shown
1.
Yamaguchi, Manako, Hirofumi Nakaoka, Kazuaki Suda, et al.. (2022). Spatiotemporal dynamics of clonal selection and diversification in normal endometrial epithelium. Nature Communications. 13(1). 943–943. 34 indexed citations
2.
Revathidevi, Sundaramoorthy, Hirofumi Nakaoka, Kazuaki Suda, et al.. (2022). APOBEC mediated mutagenesis drives genomic heterogeneity in endometriosis. Journal of Human Genetics. 67(6). 323–329. 6 indexed citations
3.
Revathidevi, Sundaramoorthy, Subbiah Shanmugam, Hirofumi Nakaoka, et al.. (2022). High incidence of PI3K pathway gene mutations in South Indian cervical cancers. Cancer Genetics. 264-265. 100–108. 1 indexed citations
4.
Revathidevi, Sundaramoorthy, Kazuyoshi Hosomichi, Toyoaki Natsume, et al.. (2022). AMBRA1 p.Gln30Arg Mutation, Identified in a Cowden Syndrome Family, Exhibits Hyperproliferative Potential in hTERT-RPE1 Cells. International Journal of Molecular Sciences. 23(19). 11124–11124.
5.
Revathidevi, Sundaramoorthy, Avaniyapuram Kannan Murugan, Hirofumi Nakaoka, Ituro Inoue, & Arasambattu Kannan Munirajan. (2020). APOBEC: A molecular driver in cervical cancer pathogenesis. Cancer Letters. 496. 104–116. 124 indexed citations
6.
Arunkumar, Ganesan, et al.. (2020). Association between functional TERT promoter polymorphism rs2853669 and cervical cancer risk in South Indian women. Molecular and Clinical Oncology. 12(5). 28–39. 7 indexed citations
7.
Revathidevi, Sundaramoorthy, et al.. (2019). Prospects of siRNA cocktails as tools for modifying multiple gene targets in the injured spinal cord. Experimental Biology and Medicine. 244(13). 1096–1110. 9 indexed citations
8.
Revathidevi, Sundaramoorthy & Arasambattu Kannan Munirajan. (2019). Akt in cancer: Mediator and more. Seminars in Cancer Biology. 59. 80–91. 532 indexed citations breakdown →
9.
Arunkumar, Ganesan, Arunagiri Kuha Deva Magendhra Rao, Mayakannan Manikandan, et al.. (2017). Expression profiling of long non-coding RNA identifies linc-RoR as a prognostic biomarker in oral cancer. Tumor Biology. 39(4). 3726131436–3726131436. 57 indexed citations
10.
Ramalingam, Vaikundamoorthy, et al.. (2017). Gold nanoparticle induces mitochondria-mediated apoptosis and cell cycle arrest in nonsmall cell lung cancer cells. Gold bulletin. 50(2). 177–189. 65 indexed citations
11.
Rao, Arunagiri Kuha Deva Magendhra, Mayakannan Manikandan, Ganesan Arunkumar, et al.. (2017). Prevalence of p53 codon 72, p73 G4C14-A4T14 and MDM2 T309G polymorphisms and its association with the risk of oral cancer in South Indians. Gene Reports. 7. 106–112. 7 indexed citations
12.
Ramalingam, Vaikundamoorthy, Sundaramoorthy Revathidevi, Varunkumar Krishnamoorthy, Vilwanathan Ravikumar, & R. Rajaram. (2016). Marine steroid derived from Acropora formosa enhances mitochondrial-mediated apoptosis in non-small cell lung cancer cells. Tumor Biology. 37(8). 10517–10531. 42 indexed citations
13.
Revathidevi, Sundaramoorthy, Mayakannan Manikandan, Arunagiri Kuha Deva Magendhra Rao, et al.. (2016). Analysis of APOBEC3A/3B germline deletion polymorphism in breast, cervical and oral cancers from South India and its impact on miRNA regulation. Tumor Biology. 37(9). 11983–11990. 22 indexed citations
14.
Revathidevi, Sundaramoorthy, et al.. (2016). Screening for the 3 UTR Polymorphism of the PXR Gene in South Indian Breast Cancer Patients and its Potential role in Pharmacogenomics. PubMed. 17(8). 3971–7. 18 indexed citations
15.
Ramalingam, Vaikundamoorthy, et al.. (2016). Biogenic gold nanoparticles induce cell cycle arrest through oxidative stress and sensitize mitochondrial membranes in A549 lung cancer cells. RSC Advances. 6(25). 20598–20608. 93 indexed citations
16.
Arunkumar, Ganesan, Sundaramoorthy Revathidevi, Mayakannan Manikandan, et al.. (2015). TERT promoter hot spot mutations are frequent in Indian cervical and oral squamous cell carcinomas. Tumor Biology. 37(6). 7907–7913. 32 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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