Rakhee Palekar
- Epidemiology top 10%
- Modeling and Simulation top 1%
- Infectious Diseases top 10%
- Pulmonary and Respiratory Medicine
- Public Health, Environmental and Occupational Health
- Co-authors
- David L. SwerdlowAchuyt BhattaraiStephen M. OstroffSamir V. SodhaRyan FaganW. Roodly ArcherMària E. MollSimon Cauchemez
- Topics
- Influenza Virus Research Studies (20 papers)Respiratory viral infections research (17 papers)Viral Infections and Vectors (6 papers)
- Journals
- Proceedings of the National Academy of SciencesClinical Infectious DiseasesKidney International
- Partner nations
- United StatesCosta RicaGuatemala
In The Last Decade
Rakhee Palekar
29 papers receiving 750 citations
Peers
Comparison fields: 5 of 97
- Epidemiology 466
- Modeling and Simulation 287
- Infectious Diseases 204
- Pulmonary and Respiratory Medicine 86
- Public Health, Environmental and Occupational Health 70
Countries citing papers authored by Rakhee Palekar
This map shows the geographic impact of Rakhee Palekar'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 Rakhee Palekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakhee Palekar more than expected).
Fields of papers citing papers by Rakhee Palekar
This network shows the impact of papers produced by Rakhee Palekar. 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 Rakhee Palekar. The network helps show where Rakhee Palekar may publish in the future.
Co-authorship network of co-authors of Rakhee Palekar
This figure shows the co-authorship network connecting the top 25 collaborators of Rakhee Palekar. A scholar is included among the top collaborators of Rakhee Palekar 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 Rakhee Palekar. Rakhee Palekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | Planning for On-Campus K-12 Education During COVID-19 | 1 |
| 4 | 11 | |
| 5 | 11 | |
| 6 | 18 | |
| 7 | 21 | |
| 8 | 7 | |
| 9 | 23 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 47 | |
| 14 | 20 | |
| 15 | 17 | |
| 16 | 262 | |
| 17 | 30 | |
| 18 | 23 | |
| 19 | 27 | |
| 20 | Retinoblastoma. | 19 |
About Rakhee Palekar
Rakhee Palekar is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 29 papers that have together received 765 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), Respiratory viral infections research (17 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Modeling and Simulation (287 citations), Epidemiology (466 citations) and Infectious Diseases (204 citations). Rakhee Palekar has collaborated with scholars based in United States, Costa Rica and Guatemala. Frequent co-authors include David L. Swerdlow, Achuyt Bhattarai, Stephen M. Ostroff, Samir V. Sodha, Ryan Fagan, W. Roodly Archer, Mària E. Moll, Simon Cauchemez, Lyn Finelli and Neil M. Ferguson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Clinical Infectious Diseases and Kidney International.
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.