Deepmala Agarwal

1.2k total citations
16 papers, 849 citations indexed

About

Deepmala Agarwal is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Deepmala Agarwal has authored 16 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Epidemiology. Recurrent topics in Deepmala Agarwal's work include Cardiovascular Conditions and Treatments (5 papers), Stress Responses and Cortisol (3 papers) and Congenital Heart Disease Studies (3 papers). Deepmala Agarwal is often cited by papers focused on Cardiovascular Conditions and Treatments (5 papers), Stress Responses and Cortisol (3 papers) and Congenital Heart Disease Studies (3 papers). Deepmala Agarwal collaborates with scholars based in United States, Canada and Brazil. Deepmala Agarwal's co-authors include Joseph Francis, Rahul Dange, Nithya Mariappan, Srinivas Sriramula, Michael A. Welsch, Jeffrey N. Keller, Jeffrey P. Cardinale, Ryoichi Teruyama, Jorge Vila and Gustavo Santos Masson and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Hypertension.

In The Last Decade

Deepmala Agarwal

13 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepmala Agarwal United States	11	409	151	124	117	108	16	849
Fadia Mayyas Jordan	17	284 0.7×	172 1.1×	111 0.9×	126 1.1×	70 0.6×	48	858
Yusuke Sata Australia	19	606 1.5×	159 1.1×	179 1.4×	200 1.7×	62 0.6×	52	1.0k
Hans P. Schobel Germany	19	617 1.5×	162 1.1×	171 1.4×	55 0.5×	78 0.7×	30	1.2k
Christian Binggeli Switzerland	17	782 1.9×	304 2.0×	396 3.2×	95 0.8×	56 0.5×	29	1.5k
Harumi Kan‐no Japan	21	487 1.2×	199 1.3×	95 0.8×	332 2.8×	33 0.3×	46	1.1k
Elizabeth Barbosa Oliveira‐Sales Brazil	16	495 1.2×	179 1.2×	189 1.5×	146 1.2×	167 1.5×	35	905
Érika E. Nishi Brazil	20	662 1.6×	142 0.9×	156 1.3×	131 1.1×	195 1.8×	51	1.1k
Daniela Manzella Italy	22	670 1.6×	358 2.4×	182 1.5×	168 1.4×	170 1.6×	39	1.5k
Jennifer J. DuPont United States	17	495 1.2×	202 1.3×	241 1.9×	152 1.3×	40 0.4×	32	1.2k
Lourdes A. Fortepiani United States	18	371 0.9×	368 2.4×	83 0.7×	119 1.0×	52 0.5×	33	1.1k

Countries citing papers authored by Deepmala Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Deepmala Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepmala Agarwal

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

All Works

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16 of 16 papers shown

Agarwal, Deepmala, Étienne Côté, M. Lynne O’Sullivan, Kathryn M. Meurs, & Jörg M. Steiner. (2023). Investigation of the cardiac effects of exercise testing on apparently healthy Boxer dogs. Journal of Veterinary Internal Medicine. 37(5). 1667–1678. 1 indexed citations

Côté, Étienne, M. Lynne O’Sullivan, Deepmala Agarwal, & Roberto A. Santilli. (2022). Left Atrial Tachycardia and Third-Degree Atrioventricular Block in a Dog. CASE. 6(2). 83–86.

Agarwal, Deepmala, et al.. (2021). Common Atrium or Atrioventricular Septal Defect: What Is in a Name?. CASE. 5(6). 412–416.

Agarwal, Deepmala, et al.. (2019). Prevalence of major complications and procedural mortality in 336 dogs undergoing interventional cardiology procedures in a single academic center. Journal of Veterinary Cardiology. 23. 45–57. 11 indexed citations

Scollan, Katherine F., et al.. (2018). Comparison of major complication and survival rates between surgical ligation and use of a canine ductal occluder device for treatment of dogs with left-to-right shunting patent ductus arteriosus. Journal of the American Veterinary Medical Association. 253(8). 1046–1052. 14 indexed citations

Dange, Rahul, Deepmala Agarwal, Ryoichi Teruyama, & Joseph Francis. (2015). Toll-like receptor 4 inhibition within the paraventricular nucleus attenuates blood pressure and inflammatory response in a genetic model of hypertension. Journal of Neuroinflammation. 12(1). 31–31. 109 indexed citations

Dange, Rahul, Deepmala Agarwal, Gustavo Santos Masson, et al.. (2014). Central blockade of TLR4 improves cardiac function and attenuates myocardial inflammation in angiotensin II-induced hypertension. Cardiovascular Research. 103(1). 17–27. 134 indexed citations

Agarwal, Deepmala, Rahul Dange, Mohan K. Raizada, & Joseph Francis. (2013). Angiotensin II causes imbalance between pro‐ and anti‐inflammatory cytokines by modulating GSK‐3β in neuronal culture. British Journal of Pharmacology. 169(4). 860–874. 37 indexed citations

Agarwal, Deepmala, et al.. (2012). Detraining Differentially Preserved Beneficial Effects of Exercise on Hypertension: Effects on Blood Pressure, Cardiac Function, Brain Inflammatory Cytokines and Oxidative Stress. PLoS ONE. 7(12). e52569–e52569. 34 indexed citations

10.

Agarwal, Deepmala, Michael A. Welsch, Jeffrey N. Keller, & Joseph Francis. (2011). Chronic exercise modulates RAS components and improves balance between pro- and anti-inflammatory cytokines in the brain of SHR. Basic Research in Cardiology. 106(6). 1069–1085. 132 indexed citations

11.

Cardinale, Jeffrey P., Srinivas Sriramula, Nithya Mariappan, Deepmala Agarwal, & Joseph Francis. (2011). Angiotensin II–Induced Hypertension Is Modulated by Nuclear Factor-κB in the Paraventricular Nucleus. Hypertension. 59(1). 113–121. 139 indexed citations

12.

Agarwal, Deepmala, Carrie M. Elks, Scott D. Reed, et al.. (2011). Chronic Exercise Preserves Renal Structure and Hemodynamics in Spontaneously Hypertensive Rats. Antioxidants and Redox Signaling. 16(2). 139–152. 58 indexed citations

13.

Agarwal, Deepmala, Zachary Soucy, & Subhash Chandra. (2011). 394 Sonographic Assessment of Inferior Vena Cava Diameter in Assessing Volume Status in The Emergency Department. Annals of Emergency Medicine. 58(4). S311–S312.

14.

Agarwal, Deepmala, et al.. (2011). INHIBITION OF NITRIC OXIDE SYNTHASE ENHANCES THE PRODUCTION OF TUMOR NECROSIS FACTOR ‐ALPHA IN MACROPHAGE CELLS. The FASEB Journal. 25(S1). 2 indexed citations

15.

Hess, Erik P., Deepmala Agarwal, Subhash Chandra, et al.. (2010). Diagnostic accuracy of the TIMI risk score in patients with chest pain in the emergency department: a meta-analysis. Canadian Medical Association Journal. 182(10). 1039–1044. 100 indexed citations

16.

Agarwal, Deepmala, Masudul Haque, Srinivas Sriramula, et al.. (2009). Role of Proinflammatory Cytokines and Redox Homeostasis in Exercise-Induced Delayed Progression of Hypertension in Spontaneously Hypertensive Rats. Hypertension. 54(6). 1393–1400. 78 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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