Vaibhav Satija

470 citations
16 papers · 277 indexed · h-index 9

Vaibhav Satija

15 papers receiving 268 citations

Peers

Vaibhav Satija
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 190
  • Radiology, Nuclear Medicine and Imaging 85
  • Hepatology 13
  • Behavioral Neuroscience 5
  • Gastroenterology 7
Replace Matteo Bini with:
Matteo Bini Italy
James Blake New Zealand
Fawaz Akhras United Kingdom
Mohammad Kizilbash United States
Lauren J. Kim United States
Rustom Guzder United Kingdom
Magda Łapińska Poland
Diana Delić-Brkljačić Croatia
Grant V. Chow United States
Jakob R. Larsen Norway
Vaibhav Satija relative to Matteo Bini Italy Matteo Bini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vaibhav Satija

Since Specialization
Citations

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

Fields of papers citing papers by Vaibhav Satija

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20225
2 20211
3 20219
4 201915
5 20182
6 20180
7 201842
8 201836
9 201887
10 201620
11 201623
12 20155
13
Evaluation of culture techniques for detection of spontaneous bacterial peritonitis in cirrhotic ascites.
199411
14
Steatorrhoea in the Punjab: the results of a village survey.
19712
15
The small intestine in anaemia in Punjabis.
19687
16 196612

About Vaibhav Satija

Vaibhav Satija is a scholar working on Cardiology and Cardiovascular Medicine, Virology and Endocrine and Autonomic Systems, having authored 16 papers that have together received 277 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Cardiac pacing and defibrillation studies (3 papers), Cardiac Imaging and Diagnostics (3 papers), Heart Failure Treatment and Management (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Cardiovascular Disease and Adiposity (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (190 citations), Radiology, Nuclear Medicine and Imaging (85 citations) and Hepatology (13 citations). Vaibhav Satija has collaborated with scholars based in United States, India and Pakistan. Frequent co-authors include Julio A. Chirinos, Mayank Sardana, Scott Akers, Jonathan J. Lee, Bilal Ansari, Vini Singh, Ranjan K. Thakur, Arpita Suri, Ibrar Anjum and Ernst Rietzschel. Their work appears in journals such as Journal of the American College of Cardiology, Gut and The American Journal of Cardiology.

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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