Sonal Datta

580 citations
15 papers · 427 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Epigenetics and DNA Methylation 3
    • RNA modifications and cancer 3
    • Genomics and Chromatin Dynamics 2
    • Wnt/β-catenin signaling in development and cancer 1
    • Genetics and Neurodevelopmental Disorders 3
    • Blood disorders and treatments 2

Sonal Datta

15 papers receiving 419 citations

Peers

Sonal Datta
Comparison fields: 5 of 69
  • Cancer Research 64
  • Oncology 112
  • Molecular Biology 253
  • Immunology and Allergy 12
  • Cell Biology 30
Replace Annamarie C. Dalton with:
Annamarie C. Dalton United States
Dragana Vujić Serbia
Orlev Levy‐Nissenbaum Israel
Minjie Wei China
Kristin Hauff Canada
Emilie Evanno France
Gema Sanz Sweden
Jae Ho Lee South Korea
Lixia Miao China
Vikas Singh India
Sonal Datta relative to Annamarie C. Dalton United States Annamarie C. Dalton's profile →
Citations per field
00.5×1.5×
Annamarie C. Dalton · 1×
Citations per year

Countries citing papers authored by Sonal Datta

Since Specialization
Citations

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

Fields of papers citing papers by Sonal Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sonal Datta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sonal Datta Line = papers co-authored together Sonal Datta links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2006115
2 200986
3 200780
4 202348
5 202329
6
Restitution at the cellular level: regulation of the migrating phenotype.
199719
7 200214
8 20118
9 20208
10 20247
11 20106
12 20213
13 20252
14 20221
15 20251

About Sonal Datta

Sonal Datta is a scholar working on Molecular Biology, Genetics, Plant Science, Oncology and Cancer Research, having authored 15 papers that have together received 427 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), Blood disorders and treatments (2 papers), Neutropenia and Cancer Infections (2 papers), Liver physiology and pathology (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Cancer Research (64 citations), Oncology (112 citations), Molecular Biology (253 citations), Immunology and Allergy (12 citations) and Cell Biology (30 citations). Sonal Datta has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Goberdhan P. Dimri, Weijian Guo, Mark J. Hoenerhoff, Anil Kumar Sharma, J E Green, Isabel Chu, Z. Liu, Daniel Barkan, Manjari Dimri and Vimla Band. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Cytokine, Molecular Biology of the Cell, Genomics and Physiological and Molecular Plant Pathology.

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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