Pankaj Garg
- Cardiology and Cardiovascular Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Sven PleinJohn P. GreenwoodPhilip HaafDavid BroadbentDaniel MessroghliRob J. van der GeestPeter SwobodaVassilios S. Vassiliou
- Topics
- Cardiac Imaging and Diagnostics (100 papers)Cardiovascular Function and Risk Factors (98 papers)Cardiac Valve Diseases and Treatments (52 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Journals
- The LancetCirculationSHILAP Revista de lepidopterología
- Partner nations
- United KingdomNetherlandsSingapore
In The Last Decade
Pankaj Garg
178 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cardiology and Cardiovascular Medicine 2.7k
- Radiology, Nuclear Medicine and Imaging 1.7k
- Pulmonary and Respiratory Medicine 642
- Surgery 493
- Epidemiology 458
Countries citing papers authored by Pankaj Garg
This map shows the geographic impact of Pankaj Garg'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 Pankaj Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pankaj Garg more than expected).
Fields of papers citing papers by Pankaj Garg
This network shows the impact of papers produced by Pankaj Garg. 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 Pankaj Garg. The network helps show where Pankaj Garg may publish in the future.
Co-authorship network of co-authors of Pankaj Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Garg. A scholar is included among the top collaborators of Pankaj Garg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pankaj Garg. Pankaj Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | Risk Factors Associated With Post−COVID-19 Conditionbreakdown → | 398 |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 108 | |
| 16 | 16 | |
| 17 | 70 | |
| 18 | 7 | |
| 19 | 28 | |
| 20 | 25 |
About Pankaj Garg
Pankaj Garg is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 190 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (100 papers), Cardiovascular Function and Risk Factors (98 papers) and Cardiac Valve Diseases and Treatments (52 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.7k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations) and Critical Care and Intensive Care Medicine (186 citations). Pankaj Garg has collaborated with scholars based in United Kingdom, Netherlands and Singapore. Frequent co-authors include Sven Plein, John P. Greenwood, Philip Haaf, David Broadbent, Daniel Messroghli, Rob J. van der Geest, Peter Swoboda, Vassilios S. Vassiliou, Vasiliki Tsampasian and Allan Clark. Their work appears in journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.
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.