Sumit Bhagra

14 papers receiving 279 citations

Peers

Sumit Bhagra
Comparison fields: 5 of 79
  • Complementary and alternative medicine 34
  • Endocrinology, Diabetes and Metabolism 66
  • Physiology 85
  • Statistics, Probability and Uncertainty 17
  • Medical Laboratory Technology 3
Replace Warren Wen with:
Warren Wen United States
Yeonjung Kim South Korea
Gavin WK Wong Canada
Bas Schouwenberg Netherlands
Dóra Ujvárosy Hungary
Matija Borić Croatia
Minoru Ohsawa Japan
Robert Zorba Paster United States
G C Fenn United Kingdom
R Palencia Germany
Sumit Bhagra relative to Warren Wen United States Warren Wen's profile →
Citations per field
00.5×3.1×
Warren Wen · 1×
Citations per year

Countries citing papers authored by Sumit Bhagra

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Bhagra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201180
2 201573
3 201246
4 200626
5 200819
6
Using quality-improvement techniques to enhance patient education and counselling of diagnosis and management.
200914
7 20208
8 20235
9 20224
10 20243
11 20213
12 20232
13 20242
14 20251
15 20250
16 20250
17 20250

About Sumit Bhagra

Sumit Bhagra is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Infectious Diseases, having authored 17 papers that have together received 286 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (2 papers), COVID-19 Clinical Research Studies (2 papers), Stroke Rehabilitation and Recovery (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Health and Lifestyle Studies (1 paper), Diabetes Management and Research (1 paper), Long-Term Effects of COVID-19 (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Complementary and alternative medicine (34 citations), Endocrinology, Diabetes and Metabolism (66 citations), Physiology (85 citations), Statistics, Probability and Uncertainty (17 citations) and Medical Laboratory Technology (3 citations). Sumit Bhagra has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include K. Sreekumaran Nair, John D. Port, Ian R. Lanza, Juan P. Brito, Jolanta M. Durski, Rebecca S. Bahn, Prabin Thapa, Marius N. Stan, Audrey Weymiller and L.L. Tatpati. Their work appears in journals such as Journal of the Neurological Sciences, BMJ Open Respiratory Research, Respiratory Research, Open Forum Infectious Diseases and Journal of Magnetic Resonance Imaging.

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.

Explore authors with similar magnitude of impact