N. S. Dhalla

977 citations
40 papers · 807 · h-index 17

Impact in

Papers in

N. S. Dhalla

37 papers receiving 736 citations

Peers

N. S. Dhalla
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 493
  • Pathology and Forensic Medicine 162
  • Complementary and alternative medicine 62
  • Physiology 34
  • Molecular Biology 350
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Antoine Younès United States
J. C. Yates Canada
Iyuki Namekata Japan
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Xue-Qian Zhang United States
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Citations per field
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Citations per year

Countries citing papers authored by N. S. Dhalla

Since Specialization
Citations

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

Fields of papers citing papers by N. S. Dhalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. S. Dhalla. 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 N. S. Dhalla. The network helps show where N. S. Dhalla may publish in the future.

Co-authors

The 25 scholars most cited alongside N. S. Dhalla, 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 N. S. Dhalla Line = papers co-authored together N. S. Dhalla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983254
2 197251
3
Alterations in protein kinase A and protein kinase C levels in heart failure due to genetic cardiomyopathy.
199947
4 197641
5 198831
6 197330
7 198426
8
Pathophysiological aspects of myocardial hypertrophy.
198725
9
Responses of heart function and intracellular free Ca2+ to phosphatidic acid in chronic diabetes.
199624
10 198324
11 198123
12 197720
13 198819
14 196119
15 199119
16 197319
17 198817
18 198216
19 198115
20 197912

About N. S. Dhalla

N. S. Dhalla is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Complementary and alternative medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 807 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (10 papers), Cardiac Ischemia and Reperfusion (9 papers), Cardiac electrophysiology and arrhythmias (8 papers), Ion channel regulation and function (7 papers), Mitochondrial Function and Pathology (6 papers), Cardiomyopathy and Myosin Studies (5 papers), ATP Synthase and ATPases Research (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (493 citations), Pathology and Forensic Medicine (162 citations), Complementary and alternative medicine (62 citations), Physiology (34 citations) and Molecular Biology (350 citations). N. S. Dhalla has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Grant N. Pierce, P. K. Ganguly, Ken S. Dhalla, Vincenzo Panagia, J. C. Yates, Chaman Lal Malhotra, R. E. Olson, Charles W.E. Tomlinson, Robert E. Beamish and Pawan K. Singal. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Journal of Pharmaceutical Sciences, Cardiology and Circulation Research.

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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