Neel Khanna
- Cardiology and Cardiovascular Medicine top 10%
- Public Health, Environmental and Occupational Health
- Surgery
- General Health Professions
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Howard A. CooperTanush GuptaDhaval KolteChul AhnGregg C. FonarowJulio A. PanzaWilliam H. FrishmanSahil Khera
- Topics
- Telemedicine and Telehealth Implementation (4 papers)Patient Satisfaction in Healthcare (3 papers)Acute Myocardial Infarction Research (3 papers)
- Journals
- Journal of the American College of CardiologyJournal of General Internal MedicineJournal of the American Medical Informatics Association
- Partner nations
- United StatesJapan
In The Last Decade
Neel Khanna
12 papers receiving 323 citations
Peers
Comparison fields: 5 of 78
- Cardiology and Cardiovascular Medicine 188
- Public Health, Environmental and Occupational Health 65
- Surgery 62
- General Health Professions 62
- Radiology, Nuclear Medicine and Imaging 36
Countries citing papers authored by Neel Khanna
This map shows the geographic impact of Neel Khanna'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 Neel Khanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neel Khanna more than expected).
Fields of papers citing papers by Neel Khanna
This network shows the impact of papers produced by Neel Khanna. 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 Neel Khanna. The network helps show where Neel Khanna may publish in the future.
Co-authorship network of co-authors of Neel Khanna
This figure shows the co-authorship network connecting the top 25 collaborators of Neel Khanna. A scholar is included among the top collaborators of Neel Khanna 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 Neel Khanna. Neel Khanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 22 | |
| 6 | 45 | |
| 7 | 1 | |
| 8 | 176 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 46 | |
| 12 | 7 |
About Neel Khanna
Neel Khanna is a scholar working on Family Practice, Health Information Management and Geriatrics and Gerontology, having authored 12 papers that have together received 330 indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (4 papers), Patient Satisfaction in Healthcare (3 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (188 citations), Issues, ethics and legal aspects (7 citations) and Health Informatics (7 citations). Neel Khanna has collaborated with scholars based in United States and Japan. Frequent co-authors include Howard A. Cooper, Tanush Gupta, Dhaval Kolte, Chul Ahn, Gregg C. Fonarow, Julio A. Panza, William H. Frishman, Sahil Khera, Robert Timmermans and Deepak L. Bhatt. Their work appears in journals such as Journal of the American College of Cardiology, Journal of General Internal Medicine and Journal of the American Medical Informatics Association.
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.