G. Jayarama Bhat

2.7k total citations
53 papers, 2.1k citations indexed

About

G. Jayarama Bhat is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, G. Jayarama Bhat has authored 53 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in G. Jayarama Bhat's work include Cytokine Signaling Pathways and Interactions (11 papers), Inflammatory mediators and NSAID effects (8 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). G. Jayarama Bhat is often cited by papers focused on Cytokine Signaling Pathways and Interactions (11 papers), Inflammatory mediators and NSAID effects (8 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). G. Jayarama Bhat collaborates with scholars based in United States, India and Australia. G. Jayarama Bhat's co-authors include Kenneth Stuart, Kenneth M. Baker, Donna J. Koslowsky, Jean E. Feagin, Thomas Thekkumkara, Rakesh Dachineni, Lloyd F. Alfonso, Hemachand Tummala, Walter G. Thomas and Kathleen Conrad and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

G. Jayarama Bhat

52 papers receiving 2.1k citations

Peers

G. Jayarama Bhat

ONCOL

EPIDE

CCM

PHARM

Miguel Cerdá‐Nicolás Spain

Karen L. MacNaul United States

Xiaojun Feng China

Amareshwar T.K. Singh United States

Guang Xu China

Yuling Qiu China

Nobuyuki Marui Japan

My‐Hanh Lam United States

Qian Lei China

Carlos J. Ciudad Spain

Miguel Cerdá‐Nicolás Spain

G. Jayarama Bhat

967 ×0.8

195 ×0.5

ONCOL

328 ×0.8

EPIDE

137 ×0.5

CCM

162 ×0.7

PHARM

Citations per year, relative to G. Jayarama Bhat G. Jayarama Bhat (= 1×) peers Miguel Cerdá‐Nicolás

Countries citing papers authored by G. Jayarama Bhat

Since Specialization

Citations

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

Fields of papers citing papers by G. Jayarama Bhat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Jayarama Bhat. 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 G. Jayarama Bhat. The network helps show where G. Jayarama Bhat may publish in the future.

Co-authorship network of co-authors of G. Jayarama Bhat

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

All Works

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20 of 20 papers shown

Kwon, Deborah Y., Xueying Li, James Harvey, et al.. (2024). CK1δ/ε-mediated TDP-43 phosphorylation contributes to early motor neuron disease toxicity in amyotrophic lateral sclerosis. Acta Neuropathologica Communications. 12(1). 187–187. 2 indexed citations

Bhat, G. Jayarama, Kejie Li, George Locke, et al.. (2024). Next-generation Drosophila protein interactome map and its functional implications. Developmental Cell. 59(18). 2506–2517.e6.

Kesharwani, Siddharth S., Rizwan Ahmad, Mohammed Ali Bakkari, et al.. (2018). Site-directed non-covalent polymer-drug complexes for inflammatory bowel disease (IBD): Formulation development, characterization and pharmacological evaluation. Journal of Controlled Release. 290. 165–179. 61 indexed citations

Dachineni, Rakesh, et al.. (2015). Cyclin A2 and CDK2 as Novel Targets of Aspirin and Salicylic Acid: A Potential Role in Cancer Prevention. Molecular Cancer Research. 14(3). 241–252. 65 indexed citations

Kumar, Sunny, et al.. (2015). Molecular complexation of curcumin with pH sensitive cationic copolymer enhances the aqueous solubility, stability and bioavailability of curcumin. European Journal of Pharmaceutical Sciences. 82. 86–96. 60 indexed citations

Dachineni, Rakesh, et al.. (2015). Aspirin and salicylic acid decrease c-Myc expression in cancer cells: a potential role in chemoprevention. Tumor Biology. 37(2). 1727–1738. 36 indexed citations

Dachineni, Rakesh, et al.. (2015). Aspirin acetylates wild type and mutant p53 in colon cancer cells: identification of aspirin acetylated sites on recombinant p53. Tumor Biology. 37(5). 6007–6016. 32 indexed citations

Alfonso, Lloyd F., et al.. (2014). Molecular targets of aspirin and cancer prevention. British Journal of Cancer. 111(1). 61–67. 165 indexed citations

Hirakawa, Brad, William R. Scott, G. Jayarama Bhat, et al.. (2010). Antisense Inhibition of S6 Kinase 1 Produces Improved Glucose Tolerance and Is Well Tolerated for 4 Weeks of Treatment in Rats. Pharmacology. 87(1-2). 11–23. 6 indexed citations

10.

Yang, Tianzhi, Karen E. Roder, G. Jayarama Bhat, Thomas Thekkumkara, & Thomas J. Abbruscato. (2006). Protein Kinase C Family Members as a Target for Regulation of Blood–Brain Barrier Na,K,2Cl-Cotransporter During In Vitro Stroke Conditions and Nicotine Exposure. Pharmaceutical Research. 23(2). 291–302. 30 indexed citations

11.

Azghani, Ali, et al.. (2002). Pseudomonas aeruginosa elastase stimulates ERK signaling pathway and enhances IL- 8 production by alveolar epithelial cells in culture. Inflammation Research. 51(10). 506–510. 24 indexed citations

12.

Gunaje, Jagadambika & G. Jayarama Bhat. (2000). Distinct Mechanisms of Inhibition of Interleukin-6-Induced Stat3 Signaling by TGF-β and α-Thrombin in CCL39 Cells. PubMed. 4(3). 151–157. 4 indexed citations

13.

Bhat, G. Jayarama & Kenneth M. Baker. (1998). Cross-talk between angiotensin II and interleukin-6-induced signaling through Stat3 transcription factor. Basic Research in Cardiology. 93(0). s026–s029. 4 indexed citations

14.

Bhat, G. Jayarama, Thomas Thekkumkara, Walter G. Thomas, Kathleen Conrad, & Kenneth M. Baker. (1995). Activation of the STAT Pathway by Angiotensin II in T3CHO/AT1A Cells. Journal of Biological Chemistry. 270(32). 19059–19065. 66 indexed citations

15.

Bhat, G. Jayarama, Augustine E. Souza, Jean E. Feagin, & Kenneth Stuart. (1992). Transcript-specific developmental regulation of polyadenylation in Trypanosoma brucei mitochondria. Molecular and Biochemical Parasitology. 52(2). 231–240. 67 indexed citations

16.

Koslowsky, Donna J., G. Jayarama Bhat, Laurie K. Read, & Kenneth Stuart. (1991). Cycles of progressive realignment of gRNA with mRNA in RNA editing. Cell. 67(3). 537–546. 87 indexed citations

17.

Bhat, G. Jayarama, et al.. (1991). The two ATPase 6 mRNAs of Leishmania tarentolae differ at their 3′ ends. Molecular and Biochemical Parasitology. 48(2). 139–149. 33 indexed citations

18.

Bhat, G. Jayarama, Michael J. Lodes, Peter J. Myler, & Kenneth Stuart. (1991). A simple method for cloning blunt ended DNA fragments. Nucleic Acids Research. 19(2). 398–398. 25 indexed citations

19.

Koslowsky, Donna J., et al.. (1990). The MURF3 gene of T. brucei contains multiple domains of extensive editing and is homologous to a subunit of NADH dehydrogenase. Cell. 62(5). 901–911. 140 indexed citations

20.

Bhat, G. Jayarama & Govindarajan Padmanaban. (1988). Heme regulates cytochrome P-450 gene transcription elongation. Biochemical and Biophysical Research Communications. 151(2). 737–742. 17 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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