Nayana Patel
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Nephrology top 10%
- Rheumatology
- Co-authors
- Sarah FaubelMark E. LockhartMelissa A. CadnapaphornchaiBenjamin SpilsethSajal PokharelDaniel MargolisAndrew B. RosenkrantzSangeet Ghai
- Topics
- Prostate Cancer Diagnosis and Treatment (9 papers)Prostate Cancer Treatment and Research (8 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)
- Journals
- Kidney InternationalJournal of the American Society of NephrologyAmerican Journal of Kidney Diseases
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Nayana Patel
29 papers receiving 328 citations
Peers
Comparison fields: 5 of 69
- Pulmonary and Respiratory Medicine 134
- Radiology, Nuclear Medicine and Imaging 123
- Surgery 57
- Nephrology 52
- Rheumatology 35
Countries citing papers authored by Nayana Patel
This map shows the geographic impact of Nayana Patel'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 Nayana Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nayana Patel more than expected).
Fields of papers citing papers by Nayana Patel
This network shows the impact of papers produced by Nayana Patel. 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 Nayana Patel. The network helps show where Nayana Patel may publish in the future.
Co-authorship network of co-authors of Nayana Patel
This figure shows the co-authorship network connecting the top 25 collaborators of Nayana Patel. A scholar is included among the top collaborators of Nayana Patel 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 Nayana Patel. Nayana Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 4 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 8 | |
| 15 | 28 | |
| 16 | 20 | |
| 17 | 7 | |
| 18 | 11 | |
| 19 | 6 | |
| 20 | 78 |
About Nayana Patel
Nayana Patel is a scholar working on Nephrology, Radiology, Nuclear Medicine and Imaging and Parasitology, having authored 29 papers that have together received 343 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Nephrology (52 citations), Radiology, Nuclear Medicine and Imaging (123 citations) and Small Animals (33 citations). Nayana Patel has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Sarah Faubel, Mark E. Lockhart, Melissa A. Cadnapaphornchai, Benjamin Spilseth, Sajal Pokharel, Daniel Margolis, Andrew B. Rosenkrantz, Sangeet Ghai, Gerald D. Dodd and Tami J. Bang. Their work appears in journals such as Kidney International, Journal of the American Society of Nephrology and American Journal of Kidney Diseases.
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.