Mahendra Sonawane

1.0k total citations
24 papers, 677 citations indexed

About

Mahendra Sonawane is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mahendra Sonawane has authored 24 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cell Biology, 12 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mahendra Sonawane's work include Hippo pathway signaling and YAP/TAZ (11 papers), Cellular Mechanics and Interactions (10 papers) and Wnt/β-catenin signaling in development and cancer (6 papers). Mahendra Sonawane is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (11 papers), Cellular Mechanics and Interactions (10 papers) and Wnt/β-catenin signaling in development and cancer (6 papers). Mahendra Sonawane collaborates with scholars based in India, Germany and Australia. Mahendra Sonawane's co-authors include Christiane Nüsslein‐Volhard, Heinz Schwarz, Eric Huntzinger, Steffen Schmidt, Nadine Wittkopp, Elisa Izaurralde, Jérôme Saulière, Mitchell P. Levesque, Sven Reischauer and Renuka Raman and has published in prestigious journals such as Nature Communications, ACS Nano and Journal of Molecular Biology.

In The Last Decade

Mahendra Sonawane

23 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahendra Sonawane India 11 456 288 53 43 38 24 677
Lara Carvalho Portugal 15 573 1.3× 449 1.6× 60 1.1× 60 1.4× 55 1.4× 22 858
Hsi‐Yuan Yang Taiwan 14 420 0.9× 278 1.0× 119 2.2× 52 1.2× 49 1.3× 19 794
Oxana Nekrasova United States 9 410 0.9× 301 1.0× 38 0.7× 29 0.7× 39 1.0× 11 736
Yusuke Hara Japan 9 272 0.6× 371 1.3× 33 0.6× 30 0.7× 39 1.0× 22 574
Genevieve Ko United States 5 375 0.8× 394 1.4× 18 0.3× 28 0.7× 51 1.3× 6 569
Loïc Sauteur Switzerland 11 380 0.8× 284 1.0× 73 1.4× 51 1.2× 55 1.4× 14 628
Marika Sjöqvist Finland 9 290 0.6× 145 0.5× 31 0.6× 23 0.5× 27 0.7× 10 475
Sabine Buchmeier Germany 11 763 1.7× 225 0.8× 66 1.2× 44 1.0× 35 0.9× 14 932
Mae Woods United States 9 257 0.6× 219 0.8× 52 1.0× 90 2.1× 19 0.5× 17 577
Eurico Morais‐de‐Sá Portugal 15 572 1.3× 463 1.6× 39 0.7× 53 1.2× 16 0.4× 26 805

Countries citing papers authored by Mahendra Sonawane

Since Specialization
Citations

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

Fields of papers citing papers by Mahendra Sonawane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahendra Sonawane

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

All Works

20 of 20 papers shown
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Sonawane, Mahendra, et al.. (2023). A deep learning framework for quantitative analysis of actin microridges. npj Systems Biology and Applications. 9(1). 21–21. 3 indexed citations
3.
Morya, Vinod, et al.. (2022). Geometry of a DNA Nanostructure Influences Its Endocytosis: Cellular Study on 2D, 3D, and in Vivo Systems. ACS Nano. 16(7). 10496–10508. 82 indexed citations
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Pradhan, Saurabh J., Puli Chandramouli Reddy, Michael Smutny, et al.. (2021). Satb2 acts as a gatekeeper for major developmental transitions during early vertebrate embryogenesis. Nature Communications. 12(1). 6094–6094. 8 indexed citations
6.
Dworkin, Sebastian, et al.. (2021). Grhl3 promotes retention of epidermal cells under endocytic stress to maintain epidermal architecture in zebrafish. PLoS Genetics. 17(9). e1009823–e1009823. 4 indexed citations
7.
Ainavarapu, Sri Rama Koti, et al.. (2020). A new tension induction paradigm unravels tissue response and the importance of E-cadherin in the developing epidermis. The International Journal of Developmental Biology. 64(4-5-6). 343–352. 5 indexed citations
8.
Kiesel, Petra, et al.. (2019). Microridges are apical epithelial projections formed of F-actin networks that organize the glycan layer. Scientific Reports. 9(1). 12191–12191. 28 indexed citations
9.
Sonawane, Mahendra, et al.. (2019). Nup358 regulates microridge length by controlling SUMOylation-dependent activity of aPKC in zebrafish epidermis. Journal of Cell Science. 132(12). 7 indexed citations
10.
Sonawane, Mahendra, et al.. (2019). penner/lgl2is required for the integrity of the photoreceptor layer in the zebrafish retina. Biology Open. 8(4). 2 indexed citations
11.
Raman, Renuka, et al.. (2018). Polarized Organization of the Cytoskeleton: Regulation by Cell Polarity Proteins. Journal of Molecular Biology. 430(19). 3565–3584. 30 indexed citations
12.
Sidhaye, Jaydeep, et al.. (2016). The zebrafish goosepimples/myosin Vb mutant exhibits cellular attributes of human microvillus inclusion disease. Mechanisms of Development. 142. 62–74. 23 indexed citations
13.
Raman, Renuka, et al.. (2016). aPKC regulates apical localization of Lgl to restrict elongation of microridges in developing zebrafish epidermis. Nature Communications. 7(1). 11643–11643. 28 indexed citations
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Chen, Yi‐Yen, Matthew P. Harris, Mitchell P. Levesque, Christiane Nüsslein‐Volhard, & Mahendra Sonawane. (2012). Heterogeneity across the dorso-ventral axis in zebrafish EVL is regulated by a novel module consisting of sox, snail1a and max genes. Mechanisms of Development. 129(1-4). 13–23. 8 indexed citations
16.
Reischauer, Sven, Mitchell P. Levesque, Christiane Nüsslein‐Volhard, & Mahendra Sonawane. (2009). Lgl2 Executes Its Function as a Tumor Suppressor by Regulating ErbB Signaling in the Zebrafish Epidermis. PLoS Genetics. 5(11). e1000720–e1000720. 70 indexed citations
17.
Sonawane, Mahendra, et al.. (2009). Lgl2 and E-cadherin act antagonistically to regulate hemidesmosome formation during epidermal development in zebrafish. Development. 136(8). 1231–1240. 52 indexed citations
18.
Wittkopp, Nadine, Eric Huntzinger, Jérôme Saulière, et al.. (2009). Nonsense-Mediated mRNA Decay Effectors Are Essential for Zebrafish Embryonic Development and Survival. Molecular and Cellular Biology. 29(13). 3517–3528. 156 indexed citations
19.
Sonawane, Mahendra, Yamila Carpio, Robert Geisler, et al.. (2005). Zebrafishpenner/lethal giant larvae 2functions in hemidesmosome formation, maintenance of cellular morphology and growth regulation in the developing basal epidermis. Development. 132(14). 3255–3265. 82 indexed citations
20.
Sonawane, Mahendra, et al.. (2001). The neural inductive response of competent chick ectoblast decreases away from the host axis and correlates with an increased proliferative activity. The International Journal of Developmental Biology. 45(5-6). 759–766. 3 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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