Arani Datta is an expert in Hematology at The University of Texas Southwestern Medical Center (United States). Arani Datta has authored 14 publications, the most recent in 2024. SLR score: 30 (community average: 125). How the SLR is computed.

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Hematology

Subspecialties: Biochemistry - Oncology - Immunology

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Expert Rankings

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Organizations

Career arc: 2018 - 2024

Source: PubMed

The University of Texas Southwestern Medical Center

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 14

Citations

Citations: 126 1st author: 1 Last author: 0 Unique author: 0


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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Synthesis of the 5/5-spiroindimicin alkaloids: development of a general synthetic approach and biological investigations.
PMID 39504114 — chemistry, organic, alkaloids, biochemistry
Org Biomol Chem20240
Using machine learning to dissect host kinases required for Leishmania internalization and development.
PMID 39181505 — src-family kinases, life cycle stages, genes, abl, phagocytes, macrophages, receptors, complement, host-pathogen interactions, machine learning, phagocytosis, complement system proteins, learning, parasitology, syk kinase, infections
Mol Biochem Parasitol20241
MAPK/ERK activation in macrophages promotes Leishmania internalization and pathogenesis.
PMID 38763478 — cells, phagocytes, macrophages, immunity, parasites, therapeutics, leishmaniasis, syk kinase, infections
Microbes Infect202410
A Multi-Color Immunofluorescence Assay to Distinguish Intracellular From External Parasites.
PMID 38873017 — infections, parasites, macrophages, cells, therapeutics, phagocytes, leishmaniasis, host-pathogen interactions, multiple chronic conditions
Bio Protoc20242
Using machine learning to dissect host kinases required for internalization and development.
PMID 38798624 — src-family kinases, genes, abl, infections, complement system proteins, macrophages, phagocytes, life cycle stages, host-pathogen interactions, machine learning
bioRxiv20240

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