T.S. Sridhar

627 total citations
29 papers, 421 citations indexed

About

T.S. Sridhar is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, T.S. Sridhar has authored 29 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Genetics and 9 papers in Oncology. Recurrent topics in T.S. Sridhar's work include Estrogen and related hormone effects (6 papers), Pregnancy and preeclampsia studies (5 papers) and Epigenetics and DNA Methylation (5 papers). T.S. Sridhar is often cited by papers focused on Estrogen and related hormone effects (6 papers), Pregnancy and preeclampsia studies (5 papers) and Epigenetics and DNA Methylation (5 papers). T.S. Sridhar collaborates with scholars based in India, United States and Canada. T.S. Sridhar's co-authors include Jyothi S. Prabhu, Aruna Korlimarla, Suraj Manjunath, B. S. Srinath, José Remacle, R.P. Symonds, Krisha Desai, Gayatri Ravikumar, Anura V. Kurpad and Tinku Thomas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

T.S. Sridhar

29 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.S. Sridhar India 14 180 158 150 84 57 29 421
Eleni Zografos Greece 13 233 1.3× 160 1.0× 183 1.2× 26 0.3× 112 2.0× 43 497
C I Li United States 6 306 1.7× 333 2.1× 91 0.6× 122 1.5× 78 1.4× 7 666
Jacqui Adams United Kingdom 10 268 1.5× 146 0.9× 289 1.9× 47 0.6× 108 1.9× 21 555
Salma Butt Sweden 12 203 1.1× 145 0.9× 90 0.6× 100 1.2× 41 0.7× 21 417
Irene Grimani Greece 8 167 0.9× 65 0.4× 44 0.3× 71 0.8× 83 1.5× 11 363
Daniel Boehm Germany 11 197 1.1× 120 0.8× 149 1.0× 30 0.4× 57 1.0× 25 540
Mitali Fadia Australia 10 110 0.6× 170 1.1× 175 1.2× 16 0.2× 85 1.5× 24 556
Iwona Podzielinski United States 10 148 0.8× 165 1.0× 164 1.1× 53 0.6× 38 0.7× 18 768
Gillian H. Little United States 11 174 1.0× 96 0.6× 409 2.7× 46 0.5× 70 1.2× 17 639
Haiqing Ma China 12 145 0.8× 150 0.9× 188 1.3× 44 0.5× 90 1.6× 13 518

Countries citing papers authored by T.S. Sridhar

Since Specialization
Citations

This map shows the geographic impact of T.S. Sridhar'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 T.S. Sridhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.S. Sridhar more than expected).

Fields of papers citing papers by T.S. Sridhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.S. Sridhar. 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 T.S. Sridhar. The network helps show where T.S. Sridhar may publish in the future.

Co-authorship network of co-authors of T.S. Sridhar

This figure shows the co-authorship network connecting the top 25 collaborators of T.S. Sridhar. A scholar is included among the top collaborators of T.S. Sridhar 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 T.S. Sridhar. T.S. Sridhar 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.
Nair, Madhumathy G, et al.. (2021). miRNAs: Critical mediators of breast cancer metastatic programming. Experimental Cell Research. 401(1). 112518–112518. 9 indexed citations
2.
Prabhu, Jyothi S., et al.. (2021). 38P Triple-negative breast cancers with expression of glucocorticoid receptor in immune cells show better prognosis. Annals of Oncology. 32(Suppl 2). S35–S35. 3 indexed citations
3.
Sridhar, T.S., et al.. (2020). Prognostic role of microRNA 182 and microRNA 18a in locally advanced triple negative breast cancer. PLoS ONE. 15(11). e0242190–e0242190. 10 indexed citations
4.
Ravikumar, Gayatri, Julian Crasta, Jyothi S. Prabhu, et al.. (2018). Eccentric placentae have reduced surface area and are associated with lower birth weight in babies small for gestational age. Journal of Developmental Origins of Health and Disease. 9(3). 281–286. 8 indexed citations
5.
6.
Prabhu, Jyothi S., Aruna Korlimarla, Krisha Desai, et al.. (2017). Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease. Translational Oncology. 10(4). 699–706. 5 indexed citations
7.
Sadanandam, Anguraj, Aruna Korlimarla, Chanthirika Ragulan, et al.. (2017). Indian triple-negative breast cancer – immune, molecular and clinical landscape. Annals of Oncology. 28. x22–x22. 1 indexed citations
8.
Ravikumar, Gayatri, Julian Crasta, Jyothi S. Prabhu, et al.. (2017). CD15 as a marker of fetoplacental endothelial immaturity in IUGR placentas. The Journal of Maternal-Fetal & Neonatal Medicine. 32(10). 1646–1653. 5 indexed citations
9.
Nair, Madhumathy G, Krisha Desai, Jyothi S. Prabhu, et al.. (2016). Data on alteration of hormone and growth factor receptor profiles over progressive passages of breast cancer cell lines representing different clinical subtypes. Data in Brief. 8. 944–947. 5 indexed citations
10.
Mukhopadhyay, Arpita, Gayatri Ravikumar, Ashima Thomas, et al.. (2016). Placental expression of DNA methyltransferase 1 (DNMT1): Gender-specific relation with human placental growth. Placenta. 48. 119–125. 21 indexed citations
11.
Nair, Madhumathy G, Krisha Desai, Jyothi S. Prabhu, et al.. (2016). β3 integrin promotes chemoresistance to epirubicin in MDA-MB-231 through repression of the pro-apoptotic protein, BAD. Experimental Cell Research. 346(1). 137–145. 23 indexed citations
12.
Mukhopadhyay, Arpita, Gayatri Ravikumar, Ashima Thomas, et al.. (2015). Placental expression of the insulin receptor binding protein GRB10: Relation to human fetoplacental growth and fetal gender. Placenta. 36(11). 1225–1230. 22 indexed citations
13.
Korlimarla, Aruna, et al.. (2014). Separate Quality-Control Measures Are Necessary for Estimation of RNA and Methylated DNA from Formalin-Fixed, Paraffin-Embedded Specimens by Quantitative PCR. Journal of Molecular Diagnostics. 16(2). 253–260. 20 indexed citations
14.
Prabhu, Jyothi S., Aruna Korlimarla, Krisha Desai, et al.. (2014). A Majority of Low (1-10%) ER Positive Breast Cancers Behave Like Hormone Receptor Negative Tumors. Journal of Cancer. 5(2). 156–165. 75 indexed citations
15.
Korlimarla, Aruna, et al.. (2014). Alternate Epigenetic Mechanism for the Repression of BRCA1 in Sporadic Breast Cancers Mediated by MIR182. Annals of Oncology. 25. i8–i8. 1 indexed citations
16.
Korlimarla, Aruna, Jyothi S. Prabhu, Hema Shankar, et al.. (2013). Identification of a non-canonical nuclear localization signal (NLS) in BRCA1 that could mediate nuclear localization of splice variants lacking the classical NLS. Cellular & Molecular Biology Letters. 18(2). 284–96. 13 indexed citations
17.
18.
Vasudevan, Anil, et al.. (2011). NPHS2 mutations in Indian children with sporadic early steroid resistant nephrotic syndrome. Indian Pediatrics. 49(3). 231–233. 21 indexed citations
19.
Pandey, Vijay, et al.. (2006). Assessment of microsatellite instability in colorectal carcinoma at an Indian center. International Journal of Colorectal Disease. 22(7). 777–782. 15 indexed citations
20.
Sridhar, T.S., G. Swarup, & Ashok Khar. (1993). Downregulation of phospho‐tyrosine phosphatases in a macrophage tumor. FEBS Letters. 326(1-3). 75–79. 4 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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