Arpana Sali

1.2k total citations
19 papers, 807 citations indexed

About

Arpana Sali is a scholar working on Molecular Biology, Physiology and Biomedical Engineering. According to data from OpenAlex, Arpana Sali has authored 19 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Biomedical Engineering. Recurrent topics in Arpana Sali's work include Muscle Physiology and Disorders (17 papers), Adipose Tissue and Metabolism (7 papers) and Exercise and Physiological Responses (4 papers). Arpana Sali is often cited by papers focused on Muscle Physiology and Disorders (17 papers), Adipose Tissue and Metabolism (7 papers) and Exercise and Physiological Responses (4 papers). Arpana Sali collaborates with scholars based in United States, South Korea and France. Arpana Sali's co-authors include Kanneboyina Nagaraju, Christopher F. Spurney, Alfredo D. Guerron, Eric P. Hoffman, Heather Gordish‐Dressman, J. H. van der Meulen, Qing Yu, Sree Rayavarapu, Qi Long Lu and Peijuan Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Neurology.

In The Last Decade

Arpana Sali

19 papers receiving 796 citations

Peers

Arpana Sali

PHYSI

CCM

REHAB

GENET

I. Courdier-Fruh Switzerland

Anna Cozzoli Italy

Ermelinda Ceco United States

Roberta Francesca Capogrosso Italy

Kitipong Uaesoontrachoon United States

Marshall W. Hogarth United States

Kevin I. Watt Australia

Akshay Bareja United States

Giulia Minetti Switzerland

Davi A. G. Mázala United States

I. Courdier-Fruh Switzerland

Arpana Sali

686 ×1.0

211 ×1.2

PHYSI

105 ×0.6

CCM

110 ×0.9

REHAB

131 ×1.3

GENET

Citations per year, relative to Arpana Sali Arpana Sali (= 1×) peers I. Courdier-Fruh

Countries citing papers authored by Arpana Sali

Since Specialization

Citations

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

Fields of papers citing papers by Arpana Sali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpana Sali

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

All Works

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19 of 19 papers shown

Nagaraju, Kanneboyina, et al.. (2017). Reliable And Reproducible Evaluation Of Therapeutic Interventions In The MDX Mouse Model Of DMD. Medicine & Science in Sports & Exercise. 49(5S). 9–9. 1 indexed citations

Sali, Arpana, et al.. (2016). Effect of the IL-1 Receptor Antagonist Kineret® on Disease Phenotype in mdx Mice. PLoS ONE. 11(5). e0155944–e0155944. 20 indexed citations

Yu, Qing, Arpana Sali, Jan van der Meulen, et al.. (2013). Omigapil Treatment Decreases Fibrosis and Improves Respiratory Rate in dy2J Mouse Model of Congenital Muscular Dystrophy. PLoS ONE. 8(6). e65468–e65468. 37 indexed citations

Sali, Arpana, Gina M. Many, Heather Gordish‐Dressman, et al.. (2013). The Proton Pump Inhibitor Lansoprazole Improves the Skeletal Phenotype in Dystrophin Deficient mdx Mice. PLoS ONE. 8(7). e66617–e66617. 3 indexed citations

Yu, Qing, Tony Huynh, Arpana Sali, et al.. (2013). Blocking Toll-Like Receptor Pathway Using an Antagonist of TLR7, 8 and 9 Reduces Inflammation in Dystrophin Deficient mdx Mice (PD3.004). Neurology. 80(7_supplement). 1 indexed citations

Uaesoontrachoon, Kitipong, Hee‐Jae Cha, Beryl Ampong, et al.. (2013). The effects of MyD88 deficiency on disease phenotype in dysferlin‐deficient A/J mice: role of endogenous TLR ligands. The Journal of Pathology. 231(2). 199–209. 24 indexed citations

Baudy, Andreas R., Erica Reeves, Jesse M. Damsker, et al.. (2012). Δ-9,11 Modification of Glucocorticoids Dissociates Nuclear Factor-κB Inhibitory Efficacy from Glucocorticoid Response Element-Associated Side Effects. Journal of Pharmacology and Experimental Therapeutics. 343(1). 225–232. 26 indexed citations

Sali, Arpana, Alfredo D. Guerron, Heather Gordish‐Dressman, et al.. (2012). Glucocorticoid-Treated Mice Are an Inappropriate Positive Control for Long-Term Preclinical Studies in the mdx Mouse. PLoS ONE. 7(4). e34204–e34204. 52 indexed citations

Kostek, Matthew C., Kanneboyina Nagaraju, Emidio E. Pistilli, et al.. (2012). IL-6 signaling blockade increases inflammation but does not affect muscle function in the mdx mouse. BMC Musculoskeletal Disorders. 13(1). 106–106. 29 indexed citations

10.

Duong, Tina, et al.. (2011). P1.56 Submaximal exercise effects on mdx mouse model. Neuromuscular Disorders. 21(9-10). 658–658. 1 indexed citations

11.

Spurney, Christopher F., Alfredo D. Guerron, Qing Yu, et al.. (2011). Membrane Sealant Poloxamer P188 Protects Against Isoproterenol Induced Cardiomyopathy in Dystrophin Deficient Mice. BMC Cardiovascular Disorders. 11(1). 20–20. 66 indexed citations

12.

Spurney, Christopher F., Arpana Sali, Alfredo D. Guerron, et al.. (2011). Losartan Decreases Cardiac Muscle Fibrosis and Improves Cardiac Function in Dystrophin-Deficient Mdx Mice. Journal of Cardiovascular Pharmacology and Therapeutics. 16(1). 87–95. 89 indexed citations

13.

Spurney, Christopher F., Hee‐Jae Cha, Arpana Sali, et al.. (2010). Evaluation of Skeletal and Cardiac Muscle Function after Chronic Administration of Thymosin β-4 in the Dystrophin Deficient Mouse. PLoS ONE. 5(1). e8976–e8976. 17 indexed citations

14.

Wu, Bo, Bin Xiao, Caryn Cloer, et al.. (2010). One-year Treatment of Morpholino Antisense Oligomer Improves Skeletal and Cardiac Muscle Functions in Dystrophic mdx Mice. Molecular Therapy. 19(3). 576–583. 54 indexed citations

15.

Guerron, Alfredo D., Rashmi Rawat, Arpana Sali, et al.. (2010). Functional and Molecular Effects of Arginine Butyrate and Prednisone on Muscle and Heart in the mdx Mouse Model of Duchenne Muscular Dystrophy. PLoS ONE. 5(6). e11220–e11220. 39 indexed citations

16.

Baudy, Andreas R., Arpana Sali, Sarah Jordan, et al.. (2010). Non-invasive Optical Imaging of Muscle Pathology in mdx Mice Using Cathepsin Caged Near-Infrared Imaging. Molecular Imaging and Biology. 13(3). 462–470. 25 indexed citations

17.

Guerrón, Alfredo D., Rashmi Rawat, Arpana Sali, et al.. (2010). Correction: Functional and Molecular Effects of Arginine Butyrate and Prednisone on Muscle and Heart in the mdx Mouse Model of Duchenne Muscular Dystrophy. PLoS ONE. 5(8). 2 indexed citations

18.

Spurney, Christopher F., Heather Gordish‐Dressman, Alfredo D. Guerron, et al.. (2009). Preclinical drug trials in the mdx mouse: Assessment of reliable and sensitive outcome measures. Muscle & Nerve. 39(5). 591–602. 131 indexed citations

19.

Wu, Bo, Hong M. Moulton, Patrick L. Iversen, et al.. (2008). Effective rescue of dystrophin improves cardiac function in dystrophin-deficient mice by a modified morpholino oligomer. Proceedings of the National Academy of Sciences. 105(39). 14814–14819. 190 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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