Deepa Murali

459 total citations
9 papers, 381 citations indexed

About

Deepa Murali is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Deepa Murali has authored 9 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Aging and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Deepa Murali's work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Axon Guidance and Neuronal Signaling (2 papers) and Developmental Biology and Gene Regulation (2 papers). Deepa Murali is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (3 papers), Axon Guidance and Neuronal Signaling (2 papers) and Developmental Biology and Gene Regulation (2 papers). Deepa Murali collaborates with scholars based in United States, India and Russia. Deepa Murali's co-authors include Yasuhide Furuta, Michael C. Crair, John Pham, J. Saadi Imam, James A. MacLean, Amiya P. Sinha‐Hikim, Miles Wilkinson, Manjeet K. Rao, Robert J. Schwartz and James F. Martin and has published in prestigious journals such as Journal of Neuroscience, Genes & Development and Development.

In The Last Decade

Deepa Murali

9 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepa Murali United States 7 310 104 50 34 33 9 381
Hannah Verdin Belgium 14 317 1.0× 268 2.6× 34 0.7× 10 0.3× 37 1.1× 29 467
Sophie Remacle Belgium 10 276 0.9× 82 0.8× 50 1.0× 40 1.2× 48 1.5× 13 375
Carole Gautier‐Courteille France 13 376 1.2× 57 0.5× 37 0.7× 54 1.6× 60 1.8× 24 490
Anh-Chi N. Le United States 6 436 1.4× 70 0.7× 19 0.4× 15 0.4× 10 0.3× 6 489
Akiko Iizuka‐Kogo Japan 11 297 1.0× 106 1.0× 32 0.6× 21 0.6× 27 0.8× 21 419
Jennifer Kao Canada 8 400 1.3× 86 0.8× 51 1.0× 69 2.0× 23 0.7× 10 521
Siren Berland Norway 11 360 1.2× 207 2.0× 19 0.4× 34 1.0× 9 0.3× 28 478
Charles E. Hawkins United States 4 272 0.9× 55 0.5× 30 0.6× 7 0.2× 16 0.5× 4 385
Dorian C. Anderson United States 9 480 1.5× 73 0.7× 31 0.6× 18 0.5× 52 1.6× 10 612
Eric J. Meershoek Netherlands 10 160 0.5× 101 1.0× 252 5.0× 19 0.6× 15 0.5× 11 434

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-authorship network of co-authors of Deepa Murali

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

All Works

9 of 9 papers shown
1.
Murali, Deepa, et al.. (2021). Survival upon Staphylococcus aureus mediated wound infection in Caenorhabditis elegans and the mechanism entailed. Microbial Pathogenesis. 157. 104952–104952. 2 indexed citations
2.
Bhaskar, James Prabhanand, et al.. (2019). Unravelling the wound healing ability and mode of action of pyridine carboxamide oxime using Caenorhabditis elegans as potential prescreen wound model. Life Sciences. 235. 116859–116859. 3 indexed citations
3.
Prasanth, Mani Iyer, et al.. (2019). Understanding the role of DAF-16 mediated pathway in Caenorhabditis elegans during UV-A mediated photoaging process. Archives of Gerontology and Geriatrics. 82. 279–285. 13 indexed citations
4.
Venkatesan, Nalini, Subramanian Krishnakumar, P. R. Deepa, et al.. (2012). Molecular deregulation induced by silencing of the high mobility group protein A2 gene in retinoblastoma cells.. PubMed. 18. 2420–37. 19 indexed citations
5.
Murali, Deepa, et al.. (2011). Smad4 Is Required Predominantly in the Developmental Processes Dependent on the BMP Branch of the TGF-β Signaling System in the Embryonic Mouse Retina. Investigative Ophthalmology & Visual Science. 52(6). 2930–2930. 10 indexed citations
6.
Dhande, Onkar S., Deepa Murali, Christina Thaller, et al.. (2008). Bone Morphogenetic Proteins, Eye Patterning, and Retinocollicular Map Formation in the Mouse. Journal of Neuroscience. 28(28). 7057–7067. 30 indexed citations
7.
Rao, Manjeet K., John Pham, J. Saadi Imam, et al.. (2006). Tissue-specific RNAi reveals that WT1 expression in nurse cells controls germ cell survival and spermatogenesis. Genes & Development. 20(2). 147–152. 98 indexed citations
8.
Liu, Wei, Jennifer Selever, Deepa Murali, et al.. (2005). Threshold-specific requirements for Bmp4 in mandibular development. Developmental Biology. 283(2). 282–293. 106 indexed citations
9.
Murali, Deepa, Michael C. Crair, Guillermo Oliver, et al.. (2005). Distinct developmental programs require different levels of Bmp signaling during mouse retinal development. Development. 132(5). 913–923. 100 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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