Rakhee Palekar

42 total papers · 4.7k total citations
29 papers, 763 citations indexed

About

Rakhee Palekar is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Rakhee Palekar has authored 29 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 13 papers in Infectious Diseases and 5 papers in Modeling and Simulation. Recurrent topics in Rakhee Palekar's work include Influenza Virus Research Studies (20 papers), Respiratory viral infections research (17 papers) and Viral Infections and Vectors (6 papers). Rakhee Palekar is often cited by papers focused on Influenza Virus Research Studies (20 papers), Respiratory viral infections research (17 papers) and Viral Infections and Vectors (6 papers). Rakhee Palekar collaborates with scholars based in United States, Guatemala and Costa Rica. Rakhee Palekar's co-authors include Achuyt Bhattarai, Stephen M. Ostroff, Samir V. Sodha, David L. Swerdlow, Ryan Fagan, W. Roodly Archer, Mària E. Moll, Simon Cauchemez, Lyn Finelli and Frederick J. Angulo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Clinical Infectious Diseases and Kidney International.

In The Last Decade

Rakhee Palekar

29 papers receiving 748 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rakhee Palekar 465 287 203 86 69 29 763
Joel Kelso 403 0.9× 505 1.8× 243 1.2× 34 0.4× 103 1.5× 25 878
Dan Yamin 263 0.6× 354 1.2× 361 1.8× 41 0.5× 55 0.8× 53 833
A.‐J. Valleron 289 0.6× 372 1.3× 319 1.6× 23 0.3× 126 1.8× 32 844
Pascal Crépey 416 0.9× 238 0.8× 212 1.0× 29 0.3× 44 0.6× 62 736
Spencer J. Fox 296 0.6× 485 1.7× 236 1.2× 22 0.3× 101 1.5× 36 754
Leah Gitterman 338 0.7× 202 0.7× 227 1.1× 272 3.2× 101 1.5× 9 803
Effie Gournis 217 0.5× 216 0.8× 341 1.7× 93 1.1× 93 1.3× 27 742
John Edmunds 426 0.9× 197 0.7× 163 0.8× 23 0.3× 99 1.4× 16 814
Frederik Verelst 184 0.4× 388 1.4× 201 1.0× 31 0.4× 98 1.4× 25 781
Santiago Echevarría‐Zuno 578 1.2× 303 1.1× 226 1.1× 29 0.3× 55 0.8× 16 748

Countries citing papers authored by Rakhee Palekar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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