Pranav Kadhiresan
- Infectious Diseases top 1%
- Biomedical Engineering top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Materials Chemistry
- Co-authors
- Warren C. W. ChanBuddhisha UdugamaSamira MubarekaJonathan B. GubbayHongmin ChenAyden MalekjahaniMatthew OsborneH Kozłowski
- Topics
- Biosensors and Analytical Detection (7 papers)SARS-CoV-2 detection and testing (3 papers)Innovative Microfluidic and Catalytic Techniques Innovation (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNano Letters
- Partner nations
- CanadaSpainUnited States
In The Last Decade
Pranav Kadhiresan
8 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Infectious Diseases 1000
- Biomedical Engineering 708
- Molecular Biology 474
- Radiology, Nuclear Medicine and Imaging 254
- Materials Chemistry 64
Countries citing papers authored by Pranav Kadhiresan
This map shows the geographic impact of Pranav Kadhiresan'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 Pranav Kadhiresan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranav Kadhiresan more than expected).
Fields of papers citing papers by Pranav Kadhiresan
This network shows the impact of papers produced by Pranav Kadhiresan. 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 Pranav Kadhiresan. The network helps show where Pranav Kadhiresan may publish in the future.
Co-authorship network of co-authors of Pranav Kadhiresan
This figure shows the co-authorship network connecting the top 25 collaborators of Pranav Kadhiresan. A scholar is included among the top collaborators of Pranav Kadhiresan 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 Pranav Kadhiresan. Pranav Kadhiresan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 41 | |
| 5 | 8 | |
| 6 | Diagnosing COVID-19: The Disease and Tools for Detectionbreakdown → | 1262 |
| 7 | 16 | |
| 8 | 42 |
About Pranav Kadhiresan
Pranav Kadhiresan is a scholar working on Biophysics, Infectious Diseases and Biomedical Engineering, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (7 papers), SARS-CoV-2 detection and testing (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Infectious Diseases (1000 citations), Biomedical Engineering (708 citations) and General Dentistry (28 citations). Pranav Kadhiresan has collaborated with scholars based in Canada, Spain and United States. Frequent co-authors include Warren C. W. Chan, Buddhisha Udugama, Samira Mubareka, Jonathan B. Gubbay, Hongmin Chen, Ayden Malekjahani, Matthew Osborne, H Kozłowski, Jisung Kim and Wolfgang J. Parak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nano Letters.
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.