D. Kalra

6.1k citations
141 papers · 3.0k · h-index 26

Impact in

Papers in

D. Kalra

133 papers receiving 2.7k citations

Peers

D. Kalra
Comparison fields: 5 of 178
  • Health Information Management 269
  • Computer Graphics and Computer-Aided Design 159
  • Cardiology and Cardiovascular Medicine 530
  • Epidemiology 479
  • Gastroenterology 61
Replace Kayvan Najarian with:
Kayvan Najarian United States
Shuyang Zhang China
David Kao United States
Piet C. de Groen United States
Huating Li China
Alistair A. Young New Zealand
Jiyeon Kim South Korea
Lampros K. Michalis Greece
Takeshi Hara Japan
Valerie King United States
D. Kalra relative to Kayvan Najarian United States Kayvan Najarian's profile →
Citations per field
00.5×10×15×17.7×
Kayvan Najarian · 1×
Citations per year

Countries citing papers authored by D. Kalra

Since Specialization
Citations

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

Fields of papers citing papers by D. Kalra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989283
2 2013231
3 2012170
4 1996141
5 2006125
6 2003125
7 1989121
8 1971107
9 2003104
10 1993104
11 198578
12 200769
13 198967
14 200461
15 199654
16 199853
17 199752
18 199152
19 199639
20 199536

About D. Kalra

D. Kalra is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Health Information Management and Epidemiology, having authored 141 papers that have together received 3.0k indexed citations. Recurring topics across this work include Electronic Health Records Systems (13 papers), Cardiac Arrhythmias and Treatments (6 papers), Cardiovascular and Diving-Related Complications (6 papers), Cardiac Valve Diseases and Treatments (6 papers), Congenital Heart Disease Studies (5 papers), Cardiac tumors and thrombi (4 papers), Reproductive Physiology in Livestock (4 papers) and Reconstructive Surgery and Microvascular Techniques (4 papers). The work is most often cited by research in Health Information Management (269 citations), Computer Graphics and Computer-Aided Design (159 citations), Cardiology and Cardiovascular Medicine (530 citations), Epidemiology (479 citations) and Gastroenterology (61 citations). D. Kalra has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Alan H. Barr, Ramesh Arora, Chand Sultana, Vinod Rattan, Yamin Shen, Roberto Ferrari, Peter C. Harris, P. L. Wahi, Inder S. Anand and P. A. Poole‐Wilson. Their work appears in journals such as Journal of Biological Chemistry, Annals of Oncology, American Journal of Physiology-Endocrinology and Metabolism, Heart and American Heart Journal.

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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