Kasturi Ranganna

732 total citations
24 papers, 611 citations indexed

About

Kasturi Ranganna is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Kasturi Ranganna has authored 24 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Cancer Research. Recurrent topics in Kasturi Ranganna's work include Histone Deacetylase Inhibitors Research (7 papers), Epigenetics and DNA Methylation (6 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Kasturi Ranganna is often cited by papers focused on Histone Deacetylase Inhibitors Research (7 papers), Epigenetics and DNA Methylation (6 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Kasturi Ranganna collaborates with scholars based in United States, India and China. Kasturi Ranganna's co-authors include Frank M. Yatsu, Shirlette G. Milton, Zivar Yousefipour, Chelliah Selvam, Mohammad Newaz, Ramasamy Thilagavathi, Adebayo Oyekan, Arumugam Jayakumar, Trupti Joshi and Meiling Zhu and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Kasturi Ranganna

23 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kasturi Ranganna United States 13 413 89 76 59 49 24 611
Jaime Jacqueline Jayapalan Malaysia 16 373 0.9× 98 1.1× 79 1.0× 63 1.1× 52 1.1× 42 800
Bong‐Jo Kim South Korea 11 398 1.0× 52 0.6× 72 0.9× 57 1.0× 33 0.7× 19 607
Heather A. Curry United States 6 364 0.9× 106 1.2× 70 0.9× 83 1.4× 58 1.2× 6 561
Prince Jeyabal United States 16 548 1.3× 160 1.8× 76 1.0× 91 1.5× 64 1.3× 19 817
Raquel Castellon United States 11 401 1.0× 93 1.0× 80 1.1× 37 0.6× 74 1.5× 18 874
Seungho Choi South Korea 16 325 0.8× 95 1.1× 77 1.0× 89 1.5× 34 0.7× 26 600
Kenji Ishimoto Japan 15 598 1.4× 204 2.3× 88 1.2× 48 0.8× 103 2.1× 38 864
Daniela Cukovic United States 12 375 0.9× 109 1.2× 34 0.4× 48 0.8× 23 0.5× 21 557
Yu Tao China 19 376 0.9× 117 1.3× 97 1.3× 122 2.1× 49 1.0× 28 786
Md. Kaimul Ahsan United States 14 468 1.1× 57 0.6× 106 1.4× 73 1.2× 72 1.5× 21 841

Countries citing papers authored by Kasturi Ranganna

Since Specialization
Citations

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

Fields of papers citing papers by Kasturi Ranganna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kasturi Ranganna

This figure shows the co-authorship network connecting the top 25 collaborators of Kasturi Ranganna. A scholar is included among the top collaborators of Kasturi Ranganna 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 Kasturi Ranganna. Kasturi Ranganna 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
1.
Ranganna, Kasturi, et al.. (2020). Histone Deacetylase Inhibitors as Multitarget-Directed Epi-Drugs in Blocking PI3K Oncogenic Signaling: A Polypharmacology Approach. International Journal of Molecular Sciences. 21(21). 8198–8198. 28 indexed citations
2.
Selvam, Chelliah, et al.. (2020). Discovery of Vascular Endothelial Growth Factor Receptor‐2 (VEGFR‐2) Inhibitors by Ligand‐based Virtual High Throughput Screening. Molecular Informatics. 39(7). e1900150–e1900150. 7 indexed citations
3.
Ranganna, Kasturi, Joseph P. Mathew, Meiling Zhu, et al.. (2019). Cellular Effects of Butyrate on Vascular Smooth Muscle Cells are Mediated through Disparate Actions on Dual Targets, Histone Deacetylase (HDAC) Activity and PI3K/Akt Signaling Network. International Journal of Molecular Sciences. 20(12). 2902–2902. 41 indexed citations
4.
5.
Yousefipour, Zivar, et al.. (2017). Contribution of PPARγ in modulation of acrolein-induced inflammatory signaling in gp91phox knock-out mice. Biochemistry and Cell Biology. 95(4). 482–490. 5 indexed citations
6.
Li, Yangxin, Chaoshan Han, Juanjuan Wang, et al.. (2017). Exosomes Mediate the Beneficial Effects of Exercise. Advances in experimental medicine and biology. 1000. 333–353. 20 indexed citations
7.
Ranganna, Kasturi, et al.. (2017). Signaling Pathways Implicated in Butyrate‐Arrested Vascular Smooth Muscle Cell Proliferation. The FASEB Journal. 31(S1).
8.
Selvam, Chelliah, et al.. (2017). Therapeutic potential of chemically modified siRNA: Recent trends. Chemical Biology & Drug Design. 90(5). 665–678. 90 indexed citations
9.
Selvam, Chelliah, et al.. (2016). Computer-aided design of negative allosteric modulators of metabotropic glutamate receptor 5 (mGluR5): Comparative molecular field analysis of aryl ether derivatives. Bioorganic & Medicinal Chemistry Letters. 26(4). 1140–1144. 1 indexed citations
10.
Ranganna, Kasturi, et al.. (2014). Involvement of the Antioxidant Effect and Anti-inflammatory Response in Butyrate-Inhibited Vascular Smooth Muscle Cell Proliferation. Pharmaceuticals. 7(11). 1008–1027. 46 indexed citations
11.
12.
Milton, Shirlette G., et al.. (2012). Differential Cellular and Molecular Effects of Butyrate and Trichostatin A on Vascular Smooth Muscle Cells. Pharmaceuticals. 5(9). 925–943. 10 indexed citations
13.
14.
Ranganna, Kasturi, et al.. (2007). Involvement of glutathione/glutathione S‐transferase antioxidant system in butyrate‐inhibited vascular smooth muscle cell proliferation. FEBS Journal. 274(22). 5962–5978. 40 indexed citations
15.
Newaz, Mohammad, Kasturi Ranganna, & Adebayo Oyekan. (2004). Relationship between PPARα activation and NO on proximal tubular Na+ transport in the rat. BMC Pharmacology. 4(1). 1–1. 59 indexed citations
16.
Ranganna, Kasturi, et al.. (2003). Gene expression profile of butyrate-inhibited vascular smooth muscle cell proliferation. Molecular and Cellular Biochemistry. 254(1-2). 21–36. 36 indexed citations
17.
Ranganna, Kasturi, et al.. (2002). Acrolein activates mitogen-activated protein kinase signal transduction pathways in rat vascular smooth muscle cells. Molecular and Cellular Biochemistry. 240(1-2). 83–98. 47 indexed citations
18.
Ranganna, Kasturi, et al.. (2000). Butyrate inhibits proliferation-induced Proliferating Cell Nuclear Antigen expression (PCNA) in rat vascular smooth muscle cells. Molecular and Cellular Biochemistry. 205(1-2). 149–161. 49 indexed citations
19.
Ranganna, Kasturi & Frank M. Yatsu. (1997). Inhibition of Platelet-Derived Growth Factor BB–Induced Expression of Glyceraldehyde- 3-Phosphate Dehydrogenase by Sodium Butyrate in Rat Vascular Smooth Muscle Cells. Arteriosclerosis Thrombosis and Vascular Biology. 17(12). 3420–3427. 19 indexed citations
20.
Ranganna, Kasturi, Trupti Joshi, & Frank M. Yatsu. (1995). Sodium Butyrate Inhibits Platelet-Derived Growth Factor–Induced Proliferation of Vascular Smooth Muscle Cells. Arteriosclerosis Thrombosis and Vascular Biology. 15(12). 2273–2283. 23 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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