Murugan Paramasivam

1.8k total citations
17 papers, 1.4k citations indexed

About

Murugan Paramasivam is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Murugan Paramasivam has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cell Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Murugan Paramasivam's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Microtubule and mitosis dynamics (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). Murugan Paramasivam is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Microtubule and mitosis dynamics (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). Murugan Paramasivam collaborates with scholars based in United States, India and France. Murugan Paramasivam's co-authors include Dannel McCollum, Joseph J. LoTurco, Sebastian Mana‐Capelli, YoonJeung Chang, Shubham Dutta, John R. Yates, Ali Sarkeshik, Maria J. Fernandes, Jean‐Bernard Manent and Yu Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Murugan Paramasivam

17 papers receiving 1.4k citations

Peers

Murugan Paramasivam

DEP

GENET

Karl Hager United States

Antonio Velayos‐Baeza United Kingdom

Kurt Müller Switzerland

James R. Erickson United States

Nicolas Bisson Canada

Gregory K. Scott United States

Dina L. Bai United States

David S. Hill United Kingdom

Min‐Young Song South Korea

Benjamin Short Germany

Karl Hager United States

Murugan Paramasivam

881 ×1.4

107 ×0.2

304 ×0.9

DEP

336 ×1.0

GENET

110 ×0.7

Citations per year, relative to Murugan Paramasivam Murugan Paramasivam (= 1×) peers Karl Hager

Countries citing papers authored by Murugan Paramasivam

Since Specialization

Citations

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

Fields of papers citing papers by Murugan Paramasivam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murugan Paramasivam

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

All Works

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17 of 17 papers shown

Paramasivam, Murugan, et al.. (2020). Response surface methodology optimization of polyhydroxyalkanoate production by Burkholderia cepacia BPT1213 using waste glycerol from palm oil‐based biodiesel production. Biotechnology Progress. 37(1). e3077–e3077. 16 indexed citations

Paramasivam, Murugan, Joo Shun Tan, M. Hazwan Hussin, et al.. (2020). Green mode synthesis of silver nanoparticles using Vitis vinifera’s tannin and screening its antimicrobial activity / apoptotic potential versus cancer cells. Materials Today Communications. 25. 101511–101511. 53 indexed citations

Hussin, M. Hazwan, et al.. (2019). Physicochemical Studies of Kenaf Nanocrystaline Cellulose and Poly (3-hydroxybutyrate-co-3-hydroxyhexanoate) as Filler for Lithium Perchlorate based Polymer Electrolyte. International Journal of Electrochemical Science. 14(2). 1620–1633. 9 indexed citations

Dutta, Shubham, et al.. (2017). TRIP6 inhibits Hippo signaling in response to tension at adherens junctions. EMBO Reports. 19(2). 337–350. 53 indexed citations

Ma, Bin, Murugan Paramasivam, Klaus Michelsen, et al.. (2016). ATP-Competitive MLKL Binders Have No Functional Impact on Necroptosis. PLoS ONE. 11(11). e0165983–e0165983. 31 indexed citations

Marcotte, D.J., Mia Rushe, Robert M. Arduini, et al.. (2016). Germinal‐center kinase‐like kinase co‐crystal structure reveals a swapped activation loop and C‐terminal extension. Protein Science. 26(2). 152–162. 16 indexed citations

Mana‐Capelli, Sebastian, Murugan Paramasivam, Shubham Dutta, & Dannel McCollum. (2014). Angiomotins link F-actin architecture to Hippo pathway signaling. Molecular Biology of the Cell. 25(10). 1676–1685. 164 indexed citations

Ma, Hanhui, Janel R. McLean, Sebastian Mana‐Capelli, et al.. (2012). A Highly Efficient Multifunctional Tandem Affinity Purification Approach Applicable to Diverse Organisms. Molecular & Cellular Proteomics. 11(8). 501–511. 29 indexed citations

Paramasivam, Murugan, Ali Sarkeshik, John R. Yates, Maria J. Fernandes, & Dannel McCollum. (2011). Angiomotin family proteins are novel activators of the LATS2 kinase tumor suppressor. Molecular Biology of the Cell. 22(19). 3725–3733. 169 indexed citations

10.

Chang, YoonJeung, Murugan Paramasivam, Matthew J. Girgenti, et al.. (2009). RanBPM regulates the progression of neuronal precursors through M‐phase at the surface of the neocortical ventricular zone. Developmental Neurobiology. 70(1). 1–15. 24 indexed citations

11.

Manent, Jean‐Bernard, Yu Wang, YoonJeung Chang, Murugan Paramasivam, & Joseph J. LoTurco. (2008). Dcx reexpression reduces subcortical band heterotopia and seizure threshold in an animal model of neuronal migration disorder. Nature Medicine. 15(1). 84–90. 113 indexed citations

12.

Paramasivam, Murugan, YoonJeung Chang, & Joseph J. LoTurco. (2007). ASPM and Citron Kinase Co-Localize to the Midbody Ring during Cytokinesis. Cell Cycle. 6(13). 1605–1612. 73 indexed citations

13.

Bai, Jilin, Raddy L. Ramos, Murugan Paramasivam, et al.. (2007). The Role of DCX and LIS1 in Migration through the Lateral Cortical Stream of Developing Forebrain. Developmental Neuroscience. 30(1-3). 144–156. 40 indexed citations

14.

Paracchini, Silvia, Ankur Thomas, Sandra C. de Castro, et al.. (2006). The chromosome 6p22 haplotype associated with dyslexia reduces the expression of KIAA0319 , a novel gene involved in neuronal migration. Human Molecular Genetics. 15(10). 1659–1666. 203 indexed citations

15.

Meng, Haiying, Shelley D. Smith, Karl Hager, et al.. (2005). DCDC2 is associated with reading disability and modulates neuronal development in the brain. Proceedings of the National Academy of Sciences. 102(47). 17053–17058. 310 indexed citations

16.

Mohanty, Ashok Kumar, Garima Singh, Murugan Paramasivam, et al.. (2003). Crystal Structure of a Novel Regulatory 40-kDa Mammary Gland Protein (MGP-40) Secreted during Involution. Journal of Biological Chemistry. 278(16). 14451–14460. 61 indexed citations

17.

Karthikeyan, Subramanian, Murugan Paramasivam, Savita Yadav, Alagiri Srinivasan, & T.P. Singh. (1999). Structure of buffalo lactoferrin at 2.5 Å resolution using crystals grown at 303 K shows different orientations of the N and C lobes. Acta Crystallographica Section D Biological Crystallography. 55(11). 1805–1813. 36 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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