Sunila Mahavadi

1.9k total citations
73 papers, 1.6k citations indexed

About

Sunila Mahavadi is a scholar working on Molecular Biology, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sunila Mahavadi has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 15 papers in Nutrition and Dietetics and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sunila Mahavadi's work include Protein Kinase Regulation and GTPase Signaling (13 papers), Biochemical Analysis and Sensing Techniques (11 papers) and Neuropeptides and Animal Physiology (8 papers). Sunila Mahavadi is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (13 papers), Biochemical Analysis and Sensing Techniques (11 papers) and Neuropeptides and Animal Physiology (8 papers). Sunila Mahavadi collaborates with scholars based in United States, Nigeria and Jordan. Sunila Mahavadi's co-authors include Karnam S. Murthy, John R. Grider, Jiean Huang, Wimolpak Sriwai, Divya P. Kumar, Senthilkumar Rajagopal, Wenhui Hu, Arun J. Sanyal, Huiping Zhou and Ancy D. Nalli and has published in prestigious journals such as Gastroenterology, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Sunila Mahavadi

71 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunila Mahavadi United States 23 694 287 265 224 221 73 1.6k
Hui Dong United States 27 769 1.1× 293 1.0× 338 1.3× 190 0.8× 129 0.6× 58 1.8k
Stacey L. Corcoran United Kingdom 5 683 1.0× 103 0.4× 208 0.8× 90 0.4× 137 0.6× 8 1.2k
Jian Xie United States 23 897 1.3× 186 0.6× 169 0.6× 61 0.3× 315 1.4× 34 1.9k
Ryo Tanaka Japan 16 524 0.8× 130 0.5× 210 0.8× 110 0.5× 128 0.6× 42 1.0k
Duan Chen Norway 28 769 1.1× 932 3.2× 443 1.7× 192 0.9× 249 1.1× 95 2.4k
Cong Tang China 15 916 1.3× 294 1.0× 431 1.6× 116 0.5× 97 0.4× 30 1.6k
Gerhard Böttcher Sweden 24 680 1.0× 709 2.5× 258 1.0× 181 0.8× 147 0.7× 39 1.9k
Bo Song China 25 797 1.1× 227 0.8× 267 1.0× 122 0.5× 26 0.1× 85 1.6k
Alessandra Zulian Italy 25 893 1.3× 171 0.6× 366 1.4× 53 0.2× 106 0.5× 50 1.6k

Countries citing papers authored by Sunila Mahavadi

Since Specialization
Citations

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

Fields of papers citing papers by Sunila Mahavadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunila Mahavadi

This figure shows the co-authorship network connecting the top 25 collaborators of Sunila Mahavadi. A scholar is included among the top collaborators of Sunila Mahavadi 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 Sunila Mahavadi. Sunila Mahavadi 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.
White, Jason, et al.. (2024). Epigenetic Modulation of GPER Expression in Gastric and Colonic Smooth Muscle of Male and Female Non-Obese Diabetic (NOD) Mice: Insights into H3K4me3 and H3K27ac Modifications. International Journal of Molecular Sciences. 25(10). 5260–5260. 1 indexed citations
2.
Muhammad, Aliyu, Gilead Ebiegberi Forcados, Murtala Bello Abubakar, et al.. (2022). Comparative G-Protein-Coupled Estrogen Receptor (GPER) Systems in Diabetic and Cancer Conditions: A Review. Molecules. 27(24). 8943–8943. 7 indexed citations
3.
Mahavadi, Sunila, et al.. (2019). Altered Contraction Phenotype and Smooth Muscle Function in the Intestine of Dystrophin‐Deficient ( mdx ) Mice. The FASEB Journal. 33(S1). 1 indexed citations
4.
Kendig, Derek M., Sunila Mahavadi, John F. Kuemmerle, et al.. (2014). Activation of the umami taste receptor (T1R1/T1R3) initiates the peristaltic reflex and pellet propulsion in the distal colon. American Journal of Physiology-Gastrointestinal and Liver Physiology. 307(11). G1100–G1107. 44 indexed citations
5.
Rajagopal, Senthilkumar, Divya P. Kumar, Ancy D. Nalli, et al.. (2014). Release of GLP-1 and PYY in response to the activation of G protein-coupled bile acid receptor TGR5 is mediated by Epac/PLC-ε pathway and modulated by endogenous H2S. Frontiers in Physiology. 5. 420–420. 97 indexed citations
6.
Nalli, Ancy D., Divya P. Kumar, Sunila Mahavadi, et al.. (2014). Hypercontractility of Intestinal Longitudinal Smooth Muscle Induced by Cytokines Is Mediated by the Nuclear Factor-κB/AMP-Activated Kinase/Myosin Light Chain Kinase Pathway. Journal of Pharmacology and Experimental Therapeutics. 350(1). 89–98. 21 indexed citations
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Sriwai, Wimolpak, Sunila Mahavadi, Othman Al‐Shboul, John R. Grider, & Karnam S. Murthy. (2013). Distinctive G Protein-Dependent Signaling by Protease-Activated Receptor 2 (PAR2) in Smooth Muscle: Feedback Inhibition of RhoA by cAMP-Independent PKA. PLoS ONE. 8(6). e66743–e66743. 40 indexed citations
9.
Mahavadi, Sunila, et al.. (2013). Changes in the Expression of Smooth Muscle Contractile Proteins in TNBS- and DSS-Induced Colitis in Mice. Inflammation. 36(6). 1304–1315. 12 indexed citations
10.
Kumar, Divya P., Senthilkumar Rajagopal, Sunila Mahavadi, et al.. (2012). Activation of transmembrane bile acid receptor TGR5 stimulates insulin secretion in pancreatic β cells. Biochemical and Biophysical Research Communications. 427(3). 600–605. 166 indexed citations
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Al‐Shboul, Othman, Sayak Bhattacharya, Sunila Mahavadi, & Karnam S. Murthy. (2011). Agonist‐Induced Rho Kinase and ZIP kinase Activity Levels in Different Regions of the Stomach. The FASEB Journal. 25(S1).
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Nugent, William H., et al.. (2011). Mechanisms of Enhanced Vascular Reactivity in Preeclampsia. Hypertension. 58(5). 867–873. 47 indexed citations
16.
Mahavadi, Sunila, et al.. (2010). Amelioration of excess collagen IαI, fibrosis, and smooth muscle growth in TNBS-induced colitis in IGF-I(+/−) mice. Inflammatory Bowel Diseases. 17(3). 711–719. 24 indexed citations
17.
Lyall, Vijay, Tam‐Hao T. Phan, Shobha Mummalaneni, et al.. (2009). Regulation of the Benzamil-Insensitive Salt Taste Receptor by Intracellular Ca2+, Protein Kinase C, and Calcineurin. Journal of Neurophysiology. 102(3). 1591–1605. 20 indexed citations
18.
Grider, John R., Sunila Mahavadi, Yan Li, et al.. (2009). Modulation of motor and sensory pathways of the peristaltic reflex by cannabinoids. American Journal of Physiology-Gastrointestinal and Liver Physiology. 297(3). G539–G549. 25 indexed citations
19.
Murthy, Karnam S., Sunila Mahavadi, Jiean Huang, Huiping Zhou, & Wimolpak Sriwai. (2007). Phosphorylation of GRK2 by PKA augments GRK2-mediated phosphorylation, internalization, and desensitization of VPAC2 receptors in smooth muscle. American Journal of Physiology-Cell Physiology. 294(2). C477–C487. 29 indexed citations
20.
Mahavadi, Sunila, et al.. (2004). Differential expression of Y receptors and signaling pathways in intestinal circular and longitudinal smooth muscle. Regulatory Peptides. 125(1-3). 163–172. 11 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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