Jhansi Dyavanapalli

578 total citations
21 papers, 436 citations indexed

About

Jhansi Dyavanapalli is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Jhansi Dyavanapalli has authored 21 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 12 papers in Endocrine and Autonomic Systems and 6 papers in Molecular Biology. Recurrent topics in Jhansi Dyavanapalli's work include Neuroscience of respiration and sleep (12 papers), Heart Rate Variability and Autonomic Control (9 papers) and Neuroendocrine regulation and behavior (6 papers). Jhansi Dyavanapalli is often cited by papers focused on Neuroscience of respiration and sleep (12 papers), Heart Rate Variability and Autonomic Control (9 papers) and Neuroendocrine regulation and behavior (6 papers). Jhansi Dyavanapalli collaborates with scholars based in United States, United Kingdom and Australia. Jhansi Dyavanapalli's co-authors include David Mendelowitz, Olga Dergacheva, Matthew W. Kay, Vivek Jain, Heather Jameson, Xin Wang, Sarah Kuzmiak‐Glancy, Alexander A. Harper, Xin Wang and Mary Dwyer and has published in prestigious journals such as Circulation, The Journal of Physiology and Neuroscience.

In The Last Decade

Jhansi Dyavanapalli

21 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jhansi Dyavanapalli United States 14 199 186 107 77 73 21 436
Heather Jameson United States 13 232 1.2× 129 0.7× 98 0.9× 74 1.0× 57 0.8× 17 374
Ramón A. Piñol United States 14 299 1.5× 91 0.5× 113 1.1× 93 1.2× 149 2.0× 23 569
George M. P. R. Souza United States 11 328 1.6× 149 0.8× 97 0.9× 60 0.8× 85 1.2× 23 497
Melina P. da Silva Brazil 13 484 2.4× 247 1.3× 100 0.9× 53 0.7× 132 1.8× 29 634
Daniel S. Stornetta United States 10 351 1.8× 134 0.7× 136 1.3× 53 0.7× 58 0.8× 19 471
Carie R. Boychuk United States 12 152 0.8× 85 0.5× 24 0.2× 63 0.8× 81 1.1× 25 311
Brent Shell United States 7 191 1.0× 53 0.3× 62 0.6× 50 0.6× 156 2.1× 7 362
Mariana Melo Brazil 10 116 0.6× 88 0.5× 66 0.6× 42 0.5× 25 0.3× 23 270
Daniela Accorsi–Mendonça Brazil 12 224 1.1× 98 0.5× 33 0.3× 44 0.6× 71 1.0× 22 338
Christopher Yardley Canada 8 298 1.5× 176 0.9× 98 0.9× 53 0.7× 117 1.6× 14 505

Countries citing papers authored by Jhansi Dyavanapalli

Since Specialization
Citations

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

Fields of papers citing papers by Jhansi Dyavanapalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jhansi Dyavanapalli

This figure shows the co-authorship network connecting the top 25 collaborators of Jhansi Dyavanapalli. A scholar is included among the top collaborators of Jhansi Dyavanapalli 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 Jhansi Dyavanapalli. Jhansi Dyavanapalli 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.
Dyavanapalli, Jhansi, Xin Wang, Caitlin Ribeiro, et al.. (2023). Outcomes of hypothalamic oxytocin neuron-driven cardioprotection after acute myocardial infarction. Basic Research in Cardiology. 118(1). 43–43. 15 indexed citations
2.
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Pho, Huy, Lenise Jihe Kim, Xin Wang, et al.. (2020). Intranasal Leptin Prevents Opioid-induced Sleep-disordered Breathing in Obese Mice. American Journal of Respiratory Cell and Molecular Biology. 63(4). 502–509. 21 indexed citations
4.
Dyavanapalli, Jhansi, Mary Dwyer, Xin Wang, et al.. (2020). Activation of Oxytocin Neurons Improves Cardiac Function in a Pressure-Overload Model of Heart Failure. JACC Basic to Translational Science. 5(5). 484–497. 25 indexed citations
5.
Brennan, Jaclyn A., Qing Chen, Jhansi Dyavanapalli, et al.. (2020). Evidence of Superior and Inferior Sinoatrial Nodes in the Mammalian Heart. JACC. Clinical electrophysiology. 6(14). 1827–1840. 35 indexed citations
6.
Dyavanapalli, Jhansi, et al.. (2020). Cholinergic stimulation improves electrophysiological rate adaptation during pressure overload-induced heart failure in rats. American Journal of Physiology-Heart and Circulatory Physiology. 319(6). H1358–H1368. 15 indexed citations
7.
Harper, Alexander A., et al.. (2020). Ketamine inhibits synaptic transmission and nicotinic acetylcholine receptor-mediated responses in rat intracardiac ganglia in situ. Neuropharmacology. 165. 107932–107932. 4 indexed citations
8.
Dyavanapalli, Jhansi. (2020). Novel approaches to restore parasympathetic activity to the heart in cardiorespiratory diseases. American Journal of Physiology-Heart and Circulatory Physiology. 319(6). H1153–H1161. 19 indexed citations
9.
Dyavanapalli, Jhansi, et al.. (2020). Chemogenetic activation of intracardiac cholinergic neurons improves cardiac function in pressure overload-induced heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 319(1). H3–H12. 13 indexed citations
10.
Dyavanapalli, Jhansi, et al.. (2017). Chronic activation of hypothalamic oxytocin neurons improves cardiac function during left ventricular hypertrophy-induced heart failure. Cardiovascular Research. 113(11). 1318–1328. 49 indexed citations
11.
Dyavanapalli, Jhansi, Olga Dergacheva, Xin Wang, & David Mendelowitz. (2016). Parasympathetic Vagal Control of Cardiac Function. Current Hypertension Reports. 18(3). 22–22. 24 indexed citations
12.
Jameson, Heather, et al.. (2016). Oxytocin neuron activation prevents hypertension that occurs with chronic intermittent hypoxia/hypercapnia in rats. American Journal of Physiology-Heart and Circulatory Physiology. 310(11). H1549–H1557. 62 indexed citations
13.
Wang, Xin, Jhansi Dyavanapalli, Ke Sun, et al.. (2015). Neurotransmission to parasympathetic cardiac vagal neurons in the brain stem is altered with left ventricular hypertrophy-induced heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 309(8). H1281–H1287. 29 indexed citations
14.
15.
Dergacheva, Olga, Jhansi Dyavanapalli, Ramón A. Piñol, & David Mendelowitz. (2014). Chronic Intermittent Hypoxia and Hypercapnia Inhibit the Hypothalamic Paraventricular Nucleus Neurotransmission to Parasympathetic Cardiac Neurons in the Brain Stem. Hypertension. 64(3). 597–603. 28 indexed citations
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17.
Dyavanapalli, Jhansi, et al.. (2010). Reactive oxygen species alters the electrophysiological properties and raises [Ca2+]iin intracardiac ganglion neurons. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 299(1). R42–R54. 8 indexed citations
18.
Hogg, R. C., et al.. (2009). Reactive oxygen species modulate neuronal excitability in rat intrinsic cardiac ganglia. Autonomic Neuroscience. 150(1-2). 45–52. 24 indexed citations
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20.
Dyavanapalli, Jhansi, et al.. (2008). The action of high K+ and aglycaemia on the electrical properties and synaptic transmission in rat intracardiac ganglion neurones in vitro. Experimental Physiology. 94(2). 201–212. 4 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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