Nastaran Khalili
- Oncology
- Infectious Diseases
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Nima RezaeiNeda KhaliliMahsa Keshavarz‐FathiSepideh RaziMaryam EbrahimiSimin JahaniSasan GhaffariAlireza Abrishami
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)COVID-19 Clinical Research Studies (7 papers)Glioma Diagnosis and Treatment (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of RoentgenologyRadiographics
- Partner nations
- IranUnited StatesIndia
In The Last Decade
Nastaran Khalili
38 papers receiving 661 citations
Peers
Comparison fields: 5 of 129
- Oncology 134
- Infectious Diseases 113
- Molecular Biology 95
- Radiology, Nuclear Medicine and Imaging 93
- Health, Toxicology and Mutagenesis 80
Countries citing papers authored by Nastaran Khalili
This map shows the geographic impact of Nastaran Khalili'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 Nastaran Khalili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nastaran Khalili more than expected).
Fields of papers citing papers by Nastaran Khalili
This network shows the impact of papers produced by Nastaran Khalili. 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 Nastaran Khalili. The network helps show where Nastaran Khalili may publish in the future.
Co-authorship network of co-authors of Nastaran Khalili
This figure shows the co-authorship network connecting the top 25 collaborators of Nastaran Khalili. A scholar is included among the top collaborators of Nastaran Khalili 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 Nastaran Khalili. Nastaran Khalili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 46 | |
| 13 | 28 | |
| 14 | 16 | |
| 15 | 15 | |
| 16 | 6 | |
| 17 | 30 | |
| 18 | 173 | |
| 19 | 22 | |
| 20 | 1 |
About Nastaran Khalili
Nastaran Khalili is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Genetics, having authored 42 papers that have together received 680 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), COVID-19 Clinical Research Studies (7 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Health Informatics (10 citations), Infectious Diseases (113 citations) and Health, Toxicology and Mutagenesis (80 citations). Nastaran Khalili has collaborated with scholars based in Iran, United States and India. Frequent co-authors include Nima Rezaei, Neda Khalili, Mahsa Keshavarz‐Fathi, Sepideh Razi, Maryam Ebrahimi, Simin Jahani, Sasan Ghaffari, Alireza Abrishami, Sara Haseli and Mehrdad Bakhshayesh Karam. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Radiographics.
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.