Puneet Batra
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Genetics
- Co-authors
- Anthony PhilippakisPatrick T. EllinorSteven A. LubitzSam FriedmanShaan KhurshidNathaniel DiamantPaolo Di AchilleJennifer E. Ho
- Topics
- Cardiovascular Function and Risk Factors (11 papers)Genetic Associations and Epidemiology (7 papers)Cardiovascular Disease and Adiposity (5 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Puneet Batra
35 papers receiving 741 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cardiology and Cardiovascular Medicine 375
- Epidemiology 138
- Molecular Biology 96
- Radiology, Nuclear Medicine and Imaging 93
- Genetics 88
Countries citing papers authored by Puneet Batra
This map shows the geographic impact of Puneet Batra'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 Puneet Batra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puneet Batra more than expected).
Fields of papers citing papers by Puneet Batra
This network shows the impact of papers produced by Puneet Batra. 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 Puneet Batra. The network helps show where Puneet Batra may publish in the future.
Co-authorship network of co-authors of Puneet Batra
This figure shows the co-authorship network connecting the top 25 collaborators of Puneet Batra. A scholar is included among the top collaborators of Puneet Batra 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 Puneet Batra. Puneet Batra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 27 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 39 | |
| 7 | 30 | |
| 8 | 43 | |
| 9 | 2 | |
| 10 | 23 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 75 | |
| 14 | 24 | |
| 15 | 4 | |
| 16 | 55 | |
| 17 | 29 | |
| 18 | Abstract 12760: Association of Machine Learning-Derived Measures of Body Fat Distribution in >40,000 Individuals With Cardiometabolic Diseases | 1 |
| 19 | 1 | |
| 20 | 5 |
About Puneet Batra
Puneet Batra is a scholar working on Cardiology and Cardiovascular Medicine, Health Informatics and Statistics, Probability and Uncertainty, having authored 37 papers that have together received 751 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (11 papers), Genetic Associations and Epidemiology (7 papers) and Cardiovascular Disease and Adiposity (5 papers). The work is most often cited by research in Health Informatics (33 citations), Cardiology and Cardiovascular Medicine (375 citations) and Health Information Management (36 citations). Puneet Batra has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Anthony Philippakis, Patrick T. Ellinor, Steven A. Lubitz, Sam Friedman, Shaan Khurshid, Nathaniel Diamant, Paolo Di Achille, Jennifer E. Ho, Kenney Ng and Amit V. Khera. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.