Vashe Chandrakanthan

1.3k total citations
18 papers, 787 citations indexed

About

Vashe Chandrakanthan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Vashe Chandrakanthan has authored 18 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 5 papers in Oncology. Recurrent topics in Vashe Chandrakanthan's work include Pluripotent Stem Cells Research (8 papers), Reproductive Biology and Fertility (8 papers) and Cancer-related Molecular Pathways (5 papers). Vashe Chandrakanthan is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Reproductive Biology and Fertility (8 papers) and Cancer-related Molecular Pathways (5 papers). Vashe Chandrakanthan collaborates with scholars based in Australia, United Kingdom and United States. Vashe Chandrakanthan's co-authors include Chris O’Neill, John E. Pimanda, Richard P. Harvey, Joan Li, Andrew V. Biankin, Emily K. Colvin, Ishtiaq Ahmed, Munira Xaymardan, Bin Zhou and Christopher J. Scarlett and has published in prestigious journals such as Blood, Molecular and Cellular Biology and Journal of Cell Science.

In The Last Decade

Vashe Chandrakanthan

18 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vashe Chandrakanthan Australia 13 564 261 195 137 108 18 787
Ildikó Bock-Marquette United States 9 494 0.9× 289 1.1× 30 0.2× 55 0.4× 167 1.5× 16 931
Tamar Katz Israel 11 362 0.6× 126 0.5× 26 0.1× 48 0.4× 93 0.9× 24 685
Debra J. Warejcka United States 14 165 0.3× 287 1.1× 32 0.2× 91 0.7× 17 0.2× 25 668
Sarika Saraswati United States 13 357 0.6× 141 0.5× 16 0.1× 117 0.9× 81 0.8× 17 603
Mario Ricciardi Italy 10 228 0.4× 175 0.7× 35 0.2× 267 1.9× 14 0.1× 15 700
Ahlm Kwon South Korea 13 197 0.3× 98 0.4× 42 0.2× 221 1.6× 18 0.2× 16 547
Vivian Labovsky Argentina 14 208 0.4× 77 0.3× 34 0.2× 126 0.9× 49 0.5× 25 504
Xiying Luan China 14 168 0.3× 118 0.5× 140 0.7× 189 1.4× 6 0.1× 34 598
Saskia Maas Netherlands 14 593 1.1× 296 1.1× 28 0.1× 23 0.2× 222 2.1× 19 810
Paulo N. G. Pereira Belgium 9 322 0.6× 116 0.4× 40 0.2× 105 0.8× 16 0.1× 10 481

Countries citing papers authored by Vashe Chandrakanthan

Since Specialization
Citations

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

Fields of papers citing papers by Vashe Chandrakanthan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vashe Chandrakanthan

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

All Works

18 of 18 papers shown
1.
Srivastava, Pallavi, Sara Romanazzo, Chantal Kopecky, et al.. (2022). Defined Microenvironments Trigger In Vitro Gastrulation in Human Pluripotent Stem Cells. Advanced Science. 10(5). e2203614–e2203614. 15 indexed citations
2.
Kilpatrick, Alastair M., Nicola K. Wilson, Vashe Chandrakanthan, et al.. (2022). p57Kip2 regulates embryonic blood stem cells by controlling sympathoadrenal progenitor expansion. Blood. 140(5). 464–477. 7 indexed citations
3.
Tavassoli, Hossein, et al.. (2020). Label‐Free Isolation and Single Cell Biophysical Phenotyping Analysis of Primary Cardiomyocytes Using Inertial Microfluidics. Small. 17(8). e2006176–e2006176. 17 indexed citations
4.
Huang, Yizhou, Julie A.I. Thoms, Melinda L. Tursky, et al.. (2016). MAPK/ERK2 phosphorylates ERG at serine 283 in leukemic cells and promotes stem cell signatures and cell proliferation. Leukemia. 30(7). 1552–1561. 19 indexed citations
5.
Rao, Tata Nageswara, Jessica Sullivan, Manoj K. Gupta, et al.. (2015). High-level Gpr56 expression is dispensable for the maintenance and function of hematopoietic stem and progenitor cells in mice. Stem Cell Research. 14(3). 307–322. 21 indexed citations
6.
Khanna, Anchit, Vashe Chandrakanthan, Julie A.I. Thoms, et al.. (2015). SMAD1 and SMAD5 Expression Is Coordinately Regulated by FLI1 and GATA2 during Endothelial Development. Molecular and Cellular Biology. 35(12). 2165–2172. 12 indexed citations
8.
Chong, James J.H., Vashe Chandrakanthan, Munira Xaymardan, et al.. (2011). Adult Cardiac-Resident MSC-like Stem Cells with a Proepicardial Origin. Cell stem cell. 9(6). 527–540. 298 indexed citations
9.
Thoms, Julie A.I., Yehudit Birger, Kathy Knezevic, et al.. (2011). ERG promotes T-acute lymphoblastic leukemia and is transcriptionally regulated in leukemic cells by a stem cell enhancer. Blood. 117(26). 7079–7089. 72 indexed citations
10.
Jin, Xingliang, et al.. (2009). Additions and Corrections. Biology of Reproduction. 81(1). 233–242. 11 indexed citations
11.
Chong, James J.H., Owen W.J. Prall, Vashe Chandrakanthan, et al.. (2009). Sca1+/CD31−/PDGFRa+ Cardiac Stem Cells are from an Epicardial/Mesodermal but not Neural-crest, Cardiomyocyte or Bone-marrow Origin. Heart Lung and Circulation. 18. S3–S3. 1 indexed citations
12.
Jin, Xingliang, Vashe Chandrakanthan, Hugh D. Morgan, & Chris O’Neill. (2008). Preimplantation Embryo Development in the Mouse Requires the Latency of TRP53 Expression, Which Is Induced by a Ligand-Activated PI3 Kinase/AKT/MDM2-Mediated Signaling Pathway1. Biology of Reproduction. 80(2). 286–294. 40 indexed citations
13.
Chandrakanthan, Vashe, et al.. (2007). Variable expressivity of the tumour suppressor protein TRP53 in cryopreserved human blastocysts. Reproductive Biology and Endocrinology. 5(1). 39–39. 22 indexed citations
14.
Li, Yan, Vashe Chandrakanthan, Margot L. Day, & Chris O’Neill. (2007). Direct Evidence for the Action of Phosphatidylinositol (3,4,5)-Trisphosphate-Mediated Signal Transduction in the 2-Cell Mouse Embryo1. Biology of Reproduction. 77(5). 813–821. 32 indexed citations
15.
Chandrakanthan, Vashe, et al.. (2006). Effects of in vitro fertilization and embryo culture on TRP53 and Bax expression in B6 mouse embryos. Reproductive Biology and Endocrinology. 4(1). 61–61. 34 indexed citations
16.
Li, Amy, et al.. (2006). Culture of Zygotes Increases p53 Expression in B6 Mouse Embryos, which Reduces Embryo Viability1. Biology of Reproduction. 76(3). 362–367. 43 indexed citations
17.
O’Neill, Chris, Amy Li, & Vashe Chandrakanthan. (2005). IVF or Culture of Embryos in Vitro Causes Increased p53 Expression Which Compromises Their Developmental Competence. Fertility and Sterility. 84. S386–S386. 1 indexed citations
18.
Chandrakanthan, Vashe, et al.. (2004). Trophic signals acting via phosphatidylinositol-3 kinase are required for normal pre-implantation mouse embryo development. Journal of Cell Science. 117(8). 1567–1576. 47 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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