Surendra Kumar Agarwal

114 papers receiving 1.2k citations

Peers

Surendra Kumar Agarwal
Comparison fields: 5 of 121
  • Transplantation 37
  • Nephrology 89
  • Pharmacology 84
  • Cardiology and Cardiovascular Medicine 194
  • Infectious Diseases 167
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Citations per year

Countries citing papers authored by Surendra Kumar Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Surendra Kumar Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Surendra Kumar Agarwal. 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 Surendra Kumar Agarwal. The network helps show where Surendra Kumar Agarwal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200284
2 200466
3 200565
4 199362
5 200458
6 199653
7 199551
8 201236
9
Frequencies of VKORC1 -1639 G>A, CYP2C9*2 and CYP2C9*3 genetic variants in the Northern Indian population.
201034
10 197931
11 200530
12 200827
13 202023
14 200122
15
Anomalous origin of right coronary artery from left aortic sinus.
199421
16
Simple method for speciation of clinically significant coagulase negative Staphylococci and its antibiotic sensitivity/resistant pat- tern in NICU of tertiary care centre.
200820
17 201320
18 200920
19 201019
20 201217

About Surendra Kumar Agarwal

Surendra Kumar Agarwal is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Epidemiology and Infectious Diseases, having authored 129 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (9 papers), Cardiac Structural Anomalies and Repair (8 papers), Cardiac Valve Diseases and Treatments (8 papers), Congenital Heart Disease Studies (7 papers), Renal Transplantation Outcomes and Treatments (6 papers), Cardiac and Coronary Surgery Techniques (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers) and Cardiac tumors and thrombi (5 papers). The work is most often cited by research in Transplantation (37 citations), Nephrology (89 citations), Pharmacology (84 citations), Cardiology and Cardiovascular Medicine (194 citations) and Infectious Diseases (167 citations). Surendra Kumar Agarwal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Probal Ghosh, Dipankar Bhowmik, Mala Kumar, Suvashis Dash, Indranil Roy, Amita Jain, Shivam Tiwari, Sanjay Gupta, Tulika Mittal and Prabhat Tewari. Their work appears in journals such as The Annals of Thoracic Surgery, The Indian Journal of Medical Research, Reproduction in Domestic Animals, Journal of Clinical Oncology and Journal of Cardiothoracic and Vascular Anesthesia.

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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