Deepa Sumukadas

1.4k citations
31 papers · 930 · h-index 14

Impact in

Papers in

Deepa Sumukadas

30 papers receiving 903 citations

Peers

Deepa Sumukadas
Comparison fields: 5 of 101
  • Geriatrics and Gerontology 189
  • Physiology 522
  • Complementary and alternative medicine 98
  • Physical Therapy, Sports Therapy and Rehabilitation 47
  • Cell Biology 155
Replace Mark D. Corriere with:
Mark D. Corriere United States
J. M. Guralnik United States
Suresh Chode United States
Julio Fernández Garrido Spain
R. Baumgartner United States
Alejandro Álvarez‐Bustos Spain
Ilse Reinders Netherlands
Donja M. Mijnarends Netherlands
Ana Paula Trussardi Fayh Brazil
Annemie Schols Netherlands
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Citations per field
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Mark D. Corriere · 1×
Citations per year

Countries citing papers authored by Deepa Sumukadas

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Sumukadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010214
2 2007185
3 200886
4 201385
5 201353
6 200640
7 201833
8 200832
9 200830
10 201320
11 201319
12 201517
13 202015
14 202014
15 201012
16 201711
17 200810
18 20219
19 20218
20 20128

About Deepa Sumukadas

Deepa Sumukadas is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Nephrology and Geriatrics and Gerontology, having authored 31 papers that have together received 930 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (14 papers), Cardiovascular and exercise physiology (7 papers), Blood Pressure and Hypertension Studies (6 papers), Muscle metabolism and nutrition (6 papers), Body Composition Measurement Techniques (4 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Heart Failure Treatment and Management (3 papers) and Parathyroid Disorders and Treatments (3 papers). The work is most often cited by research in Geriatrics and Gerontology (189 citations), Physiology (522 citations), Complementary and alternative medicine (98 citations), Physical Therapy, Sports Therapy and Rehabilitation (47 citations) and Cell Biology (155 citations). Deepa Sumukadas has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Marion E. T. McMurdo, Miles D. Witham, Allan D. Struthers, Arduino A. Mangoni, Bruce Guthrie, Margaret Band, Alison Avenell, Vera Cvoro, Alex McConnachie and S. M. Lloyd. Their work appears in journals such as Age and Ageing, Aging Clinical and Experimental Research, The journal of nutrition health & aging, Journal of the Renin-Angiotensin-Aldosterone System and Trials.

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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