Deepa Murali

459 citations
9 papers · 381 · h-index 7

Impact in

Papers in

    • Developmental Biology and Gene Regulation 2
    • Ubiquitin and proteasome pathways 1
    • TGF-β signaling in diseases 1
    • Genetics, Aging, and Longevity in Model Organisms 3

Deepa Murali

9 papers receiving 375 citations

Peers

Deepa Murali
Comparison fields: 5 of 56
  • Aging 11
  • Drug Discovery 1
  • Molecular Biology 310
  • Genetics 104
  • Reproductive Medicine 29
Replace Sophie Remacle with:
Sophie Remacle Belgium
Carole Gautier‐Courteille France
Julia Schaft Germany
Warif El Yakoubi France
Kelvin X. Zhang United States
Sandra Lubitz Germany
Jennifer Kao Canada
Esther Camp Australia
Rebecca Cotterman United States
Jianhua Chu United States
Deepa Murali relative to Sophie Remacle Belgium Sophie Remacle's profile →
Citations per field
00.5×2.8×
Sophie Remacle · 1×
Citations per year

Countries citing papers authored by Deepa Murali

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Murali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepa Murali, 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 Deepa Murali Line = papers co-authored together Deepa Murali links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2005106
2 2005100
3 200698
4 200830
5
Molecular deregulation induced by silencing of the high mobility group protein A2 gene in retinoblastoma cells.
201219
6 201913
7 201110
8 20193
9 20212

About Deepa Murali

Deepa Murali is a scholar working on Molecular Biology, Aging, Cellular and Molecular Neuroscience, Genetics and Endocrine and Autonomic Systems, having authored 9 papers that have together received 381 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Developmental Biology and Gene Regulation (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Ubiquitin and proteasome pathways (1 paper), interferon and immune responses (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), TGF-β signaling in diseases (1 paper) and Bee Products Chemical Analysis (1 paper). The work is most often cited by research in Aging (11 citations), Drug Discovery (1 citation), Molecular Biology (310 citations), Genetics (104 citations) and Reproductive Medicine (29 citations). Deepa Murali has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Yasuhide Furuta, Michael C. Crair, James A. MacLean, Manjeet K. Rao, Amiya P. Sinha‐Hikim, John Pham, J. Saadi Imam, Miles Wilkinson, Guillermo Oliver and James F. Martin. Their work appears in journals such as Genes & Development, Microbial Pathogenesis, Life Sciences, Journal of Neuroscience and Development.

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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