Umeshwar Pandey

412 citations
42 papers · 281 · h-index 10

Impact in

Papers in

Umeshwar Pandey

32 papers receiving 272 citations

Peers

Umeshwar Pandey
Comparison fields: 5 of 50
  • Internal Medicine 15
  • Cardiology and Cardiovascular Medicine 83
  • Endocrinology, Diabetes and Metabolism 30
  • Pulmonary and Respiratory Medicine 50
  • Epidemiology 47
Replace Zbigniew Heleniak with:
Zbigniew Heleniak Poland
Hakkı Kaya Türkiye
Zehra Gölbaşı Türkiye
Erik M. Stuveling Netherlands
Valerio Verdiani Italy
Ernesto Oqueli Australia
Anat Berkovitch Israel
Stylianos Daios Greece
Julien Herbert France
Kristine Alexander United States
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Citations per field
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Citations per year

Countries citing papers authored by Umeshwar Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Umeshwar Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200749
2 201131
3 201226
4 202024
5
Association of angiotensin-converting enzyme, methylene tetrahydrofolate reductase and paraoxonase gene polymorphism and coronary artery disease in an Indian population.
201123
6 201617
7 201713
8 201613
9 20169
10 20139
11 20197
12 20236
13 20166
14 20195
15 20115
16 20194
17 20224
18 20164
19 20213
20 20153

About Umeshwar Pandey

Umeshwar Pandey is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Internal Medicine, having authored 42 papers that have together received 281 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (5 papers), Vascular Procedures and Complications (4 papers), Vascular anomalies and interventions (4 papers), Cardiovascular and Diving-Related Complications (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Congenital Heart Disease Studies (3 papers), Obesity, Physical Activity, Diet (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Internal Medicine (15 citations), Cardiology and Cardiovascular Medicine (83 citations), Endocrinology, Diabetes and Metabolism (30 citations), Pulmonary and Respiratory Medicine (50 citations) and Epidemiology (47 citations). Umeshwar Pandey has collaborated with scholars based in India. Frequent co-authors include Tanu Midha, Ranjeeta Kumari, Santosh Kumar Sinha, Subramaniam Ganesh, Ramesh Thakur, Indranil Banerjee, Bhola Nath, Vinay Krishna, Rashmi Parihar and C. M. Varma. Their work appears in journals such as Indian Journal of Pharmaceutical Education and Research, Journal of Thrombosis and Thrombolysis, Cardiology Research, Journal of Clinical Medicine Research and The Indian Journal of Pediatrics.

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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