Deepmala Agarwal

1.2k citations
16 papers · 854 · h-index 11

Impact in

Papers in

Deepmala Agarwal

13 papers receiving 845 citations

Peers

Deepmala Agarwal
Comparison fields: 5 of 77
  • Behavioral Neuroscience 68
  • Cardiology and Cardiovascular Medicine 361
  • Endocrine and Autonomic Systems 98
  • Biological Psychiatry 28
  • Biochemistry 55
Replace Jeffrey P. Cardinale with:
Jeffrey P. Cardinale United States
Fadia Mayyas Jordan
Daniel W. Trott United States
Elizabeth Barbosa Oliveira‐Sales Brazil
Érika E. Nishi Brazil
Flora Socratous Australia
Monir Ahmad Canada
Nidia Basso Argentina
Hao Xue China
Norma B. Ojeda United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Deepmala Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepmala Agarwal Line = papers co-authored together Deepmala Agarwal links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2011139
2 2014134
3 2011131
4 2015111
5 2010101
6 200978
7 201159
8 201337
9 201234
10 201816
11 201911
12 20112
13 20231
14 20220
15 20210
16 20110

About Deepmala Agarwal

Deepmala Agarwal is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 16 papers that have together received 854 indexed citations. Recurring topics across this work include Cardiovascular Conditions and Treatments (4 papers), Renin-Angiotensin System Studies (3 papers), Congenital Heart Disease Studies (2 papers), Cardiovascular and exercise physiology (1 paper), Cardiovascular Effects of Exercise (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Disaster Response and Management (1 paper) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Behavioral Neuroscience (68 citations), Cardiology and Cardiovascular Medicine (361 citations), Endocrine and Autonomic Systems (98 citations), Biological Psychiatry (28 citations) and Biochemistry (55 citations). Deepmala Agarwal has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Joseph Francis, Rahul Dange, Nithya Mariappan, Srinivas Sriramula, Jeffrey N. Keller, Michael A. Welsch, Ryoichi Teruyama, Jeffrey P. Cardinale, Jorge Vila and Anand R. Nair. Their work appears in journals such as Hypertension, Basic Research in Cardiology, Journal of Neuroinflammation, Journal of Veterinary Cardiology and Antioxidants and Redox Signaling.

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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