V. Radhika

667 total citations
12 papers, 483 citations indexed

About

V. Radhika is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, V. Radhika has authored 12 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in V. Radhika's work include Mast cells and histamine (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). V. Radhika is often cited by papers focused on Mast cells and histamine (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). V. Radhika collaborates with scholars based in United States, India and Germany. V. Radhika's co-authors include N. Dhanasekaran, Ji Hee Ha, Djamila Onésime, Muralidharan Jayaraman, S. Subramanian, K. Natarajan, Tassula Proikas‐Cezanne, Danny N. Dhanasekaran, A.N. Bhisey and Suresh H. Advani and has published in prestigious journals such as Journal of Biological Chemistry, Water Research and Oncogene.

In The Last Decade

V. Radhika

11 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Radhika United States 9 260 73 68 57 57 12 483
Andrea L. Ambrosio United States 12 426 1.6× 45 0.6× 33 0.5× 30 0.5× 104 1.8× 18 789
Marjorie Fanjul France 16 368 1.4× 57 0.8× 27 0.4× 48 0.8× 64 1.1× 33 741
Aaron J. Huebner United States 16 684 2.6× 108 1.5× 50 0.7× 23 0.4× 50 0.9× 21 894
Stephanie Walker United States 15 362 1.4× 53 0.7× 24 0.4× 20 0.4× 27 0.5× 36 779
Yaoqing Shen Canada 17 582 2.2× 116 1.6× 33 0.5× 40 0.7× 46 0.8× 47 963
Biao Shi United States 15 325 1.3× 44 0.6× 44 0.6× 59 1.0× 43 0.8× 27 692
York Kamenisch Germany 15 435 1.7× 84 1.2× 18 0.3× 37 0.6× 57 1.0× 21 765
Min-Jen Tseng Taiwan 11 330 1.3× 35 0.5× 127 1.9× 34 0.6× 26 0.5× 15 562
Quincy Quick United States 12 192 0.7× 23 0.3× 34 0.5× 21 0.4× 19 0.3× 20 399
Huilan Lin United States 14 467 1.8× 25 0.3× 27 0.4× 64 1.1× 66 1.2× 18 831

Countries citing papers authored by V. Radhika

Since Specialization
Citations

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

Fields of papers citing papers by V. Radhika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Radhika

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

All Works

12 of 12 papers shown
1.
2.
Dhanasekaran, Danny N., et al.. (2009). Heterologous Expression of Olfactory Receptors for Targeted Chemosensing. Annals of the New York Academy of Sciences. 1170(1). 157–160. 6 indexed citations
3.
Radhika, V., Tassula Proikas‐Cezanne, Muralidharan Jayaraman, et al.. (2007). Chemical sensing of DNT by engineered olfactory yeast strain. Nature Chemical Biology. 3(6). 325–330. 96 indexed citations
4.
Radhika, V., S. Subramanian, & K. Natarajan. (2006). Bioremediation of zinc using Desulfotomaculum nigrificans: Bioprecipitation and characterization studies. Water Research. 40(19). 3628–3636. 70 indexed citations
5.
Radhika, V., et al.. (2005). Engineered Saccharomyces cerevisiae strain BioS‐1, for the detection of water‐borne toxic metal contaminants. Biotechnology and Bioengineering. 90(1). 29–35. 12 indexed citations
6.
Jayaraman, Muralidharan, V. Radhika, Mikhil Bamne, et al.. (2005). Engineered Saccharomycescerevisiae Strain BioS‐OS1/2, for the Detection of Oxidative Stress. Biotechnology Progress. 21(5). 1373–1379. 6 indexed citations
7.
Radhika, V., et al.. (2005). Mitogenic signaling by lysophosphatidic acid (LPA) involves Gα12. Oncogene. 24(28). 4597–4603. 34 indexed citations
8.
Radhika, V., Djamila Onésime, Ji Hee Ha, & N. Dhanasekaran. (2004). Gα13 Stimulates Cell Migration through Cortactin-interacting Protein Hax-1. Journal of Biological Chemistry. 279(47). 49406–49413. 117 indexed citations
9.
Kumar, Rashmi, et al.. (2004). Proliferation-Specific Genes Activated by Gα<SUB>12</SUB>: A Role for PDGFRα and JAK3 in Gα<SUB>12</SUB>-Mediated Cell Proliferation. Cell Biochemistry and Biophysics. 41(1). 63–74. 10 indexed citations
10.
Radhika, V. & N. Dhanasekaran. (2001). Transforming G proteins. Oncogene. 20(13). 1607–1614. 112 indexed citations
11.
Radhika, V., Nishigandha Naik, Suresh H. Advani, & A.N. Bhisey. (2000). Actin polymerization in response to different chemoattractants is reduced in granulocytes from chronic myeloid leukemia patients. Cytometry. 42(6). 379–386. 10 indexed citations
12.
Radhika, V., et al.. (1996). Granulocytes from chronic myeloid leukemia (CML) patients show differential response to different chemoattractants. American Journal of Hematology. 52(3). 155–164. 10 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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