Ashreena Salpekar

2.0k total citations · 1 hit paper
8 papers, 1.7k citations indexed

About

Ashreena Salpekar is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Ashreena Salpekar has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Oncology. Recurrent topics in Ashreena Salpekar's work include Renal and related cancers (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Prenatal Screening and Diagnostics (2 papers). Ashreena Salpekar is often cited by papers focused on Renal and related cancers (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Prenatal Screening and Diagnostics (2 papers). Ashreena Salpekar collaborates with scholars based in United Kingdom and Netherlands. Ashreena Salpekar's co-authors include Bart Vanhaesebroeck, Stephen Meek, Klaus Okkenhaug, Antonio Bilancio, Wayne Pearce, Géraldine Farjot, Andrew J. H. Smith, Sara Sancho, Michael D. Waterfield and Emma Peskett and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ashreena Salpekar

8 papers receiving 1.6k citations

Hit Papers

Impaired B and T Cell Antigen Receptor Signaling in p110δ... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashreena Salpekar United Kingdom 8 1.1k 527 360 286 172 8 1.7k
Emma Peskett United Kingdom 11 990 0.9× 647 1.2× 403 1.1× 246 0.9× 75 0.4× 14 1.7k
Jyh-Rong Chao United States 8 823 0.7× 326 0.6× 179 0.5× 367 1.3× 130 0.8× 9 1.2k
Cornelia Rudolph Germany 18 1.4k 1.3× 287 0.5× 215 0.6× 523 1.8× 227 1.3× 41 2.1k
Janet Glassford United Kingdom 16 972 0.9× 302 0.6× 186 0.5× 423 1.5× 178 1.0× 22 1.5k
Andrea M. Griesinger United States 17 759 0.7× 224 0.4× 439 1.2× 300 1.0× 196 1.1× 37 1.3k
Marina R. Carpinelli Australia 15 855 0.8× 258 0.5× 265 0.7× 249 0.9× 144 0.8× 30 1.5k
Rachel A. Altura United States 25 1.3k 1.2× 270 0.5× 158 0.4× 590 2.1× 189 1.1× 48 1.9k
Stella Maris Ranuncolo Argentina 18 751 0.7× 395 0.7× 219 0.6× 502 1.8× 335 1.9× 33 1.4k
Khuda Dad Khan United States 16 622 0.6× 512 1.0× 144 0.4× 715 2.5× 127 0.7× 29 1.5k
Claudine M. Yballe United States 8 803 0.7× 461 0.9× 187 0.5× 202 0.7× 130 0.8× 10 1.3k

Countries citing papers authored by Ashreena Salpekar

Since Specialization
Citations

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

Fields of papers citing papers by Ashreena Salpekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashreena Salpekar

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

All Works

8 of 8 papers shown
1.
Guillermet‐Guibert, Julie, Katja Björklöf, Ashreena Salpekar, et al.. (2008). The p110β isoform of phosphoinositide 3-kinase signals downstream of G protein-coupled receptors and is functionally redundant with p110γ. Proceedings of the National Academy of Sciences. 105(24). 8292–8297. 293 indexed citations
2.
Graupera, Mariona, Julie Guillermet‐Guibert, Lazaros C. Foukas, et al.. (2008). Angiogenesis selectively requires the p110α isoform of PI3K to control endothelial cell migration. Nature. 453(7195). 662–666. 414 indexed citations
3.
Dallosso, Anthony R., Anne L. Hancock, Sally Malik, et al.. (2007). Alternately spliced WT1 antisense transcripts interact with WT1 sense RNA and show epigenetic and splicing defects in cancer. RNA. 13(12). 2287–2299. 60 indexed citations
4.
Okkenhaug, Klaus, Antonio Bilancio, Géraldine Farjot, et al.. (2002). Impaired B and T Cell Antigen Receptor Signaling in p110δ PI 3-Kinase Mutant Mice. Science. 297(5583). 1031–1034. 761 indexed citations breakdown →
5.
Salpekar, Ashreena. (2001). The use of amplified cDNA to investigate the expression of seven imprinted genes in human oocytes and preimplantation embryos. Molecular Human Reproduction. 7(9). 839–844. 35 indexed citations
6.
Malik, Karim, Ashreena Salpekar, Arthur A. Hancock, et al.. (2000). Identification of differential methylation of the WT1 antisense regulatory region and relaxation of imprinting in Wilms' tumor.. PubMed. 60(9). 2356–60. 51 indexed citations
7.
Moorwood, Kim, Ashreena Salpekar, Sarah Ivins, et al.. (1999). Transactivation of the WT1 antisense promoter is unique to the WT1[+/−] isoform. FEBS Letters. 456(1). 131–136. 9 indexed citations
8.
Moorwood, Kim, et al.. (1998). Antisense WT1 transcription parallels sense mRNA and protein expression in fetal kidney and can elevate protein levels in vitro. The Journal of Pathology. 185(4). 352–359. 41 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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