Ashreena Salpekar

2.0k citations
8 papers · 1.7k indexed · 1 hit paper · h-index 8
Topics
Renal and related cancers (4 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)Prenatal Screening and Diagnostics (2 papers)

In The Last Decade

Ashreena Salpekar

8 papers receiving 1.6k citations

Hit Papers

Impaired B and T Cell Antigen Receptor Signaling in p110δ...20022026201020182002250500750

Peers

Ashreena Salpekar
Comparison fields: 5 of 80
  • Molecular Biology 1.1k
  • Immunology 527
  • Genetics 360
  • Oncology 286
  • Cancer Research 172
Replace Emma Peskett with:
Emma Peskett United Kingdom
Jyh-Rong Chao United States
Claudine M. Yballe United States
Robert Tressler United States
Marina R. Carpinelli Australia
Janet Glassford United Kingdom
Raghuveer Singh Mali United States
Yuji Piao United States
Khuda Dad Khan United States
Yen K. Lieu United States
Ashreena Salpekar relative to Emma Peskett United Kingdom Emma Peskett's profile →
Citations per field
00.5×1.5×2.3×
Emma Peskett · 1×
Citations per year

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
#WorkIndexed citations
1 293
2 414
3 60
4
Impaired B and T Cell Antigen Receptor Signaling in p110δ PI 3-Kinase Mutant Micebreakdown →
761
5 35
6
Identification of differential methylation of the WT1 antisense regulatory region and relaxation of imprinting in Wilms' tumor.
51
7 9
8 41

About Ashreena Salpekar

Ashreena Salpekar is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Renal and related cancers (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Genetics (360 citations), Immunology (527 citations) and Molecular Biology (1.1k citations). Ashreena Salpekar has collaborated with scholars based in United Kingdom and Netherlands. Frequent 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. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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