Sara Haseli
Impact in
- Health Informatics top 5%
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
Papers in
-
- Sarcoma Diagnosis and Treatment 6
-
- COVID-19 diagnosis using AI 6
- Radiology practices and education 4
- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Mehrdad Bakhshayesh Karam (11 shared papers)Mahboobeh Karimi‐Galougahi (6 shared papers)Pooya Iranpour (11 shared papers)Nasim Raad (3 shared papers)Morteza Sanei Taheri (4 shared papers)Neda Khalili (8 shared papers)Nastaran Khalili (6 shared papers)Farzaneh Dastan (5 shared papers)
- Journals
- Academic Radiology (10 papers)International Immunopharmacology (4 papers)Skeletal Radiology (4 papers)PLoS ONE (2 papers)American Journal of Otolaryngology (1 paper)
- Partner nations
- IranUnited StatesCanada
In The Last Decade
Sara Haseli
58 papers receiving 671 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 23
- Sensory Systems 59
- Infectious Diseases 186
- Neurology 142
- General Dentistry 14
Countries citing papers authored by Sara Haseli
This map shows the geographic impact of Sara Haseli'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 Sara Haseli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Haseli more than expected).
Fields of papers citing papers by Sara Haseli
This network shows the impact of papers produced by Sara Haseli. 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 Sara Haseli. The network helps show where Sara Haseli may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Haseli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 67 | |
| 2 | 2020 | 61 | |
| 3 | 2020 | 58 | |
| 4 | 2021 | 54 | |
| 5 | 2020 | 45 | |
| 6 | 2020 | 38 | |
| 7 | 2021 | 33 | |
| 8 | 2020 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 2020 | 24 | |
| 11 | 2021 | 23 | |
| 12 | 2021 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2022 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2023 | 12 | |
| 19 | 2023 | 10 | |
| 20 | 2021 | 8 |
About Sara Haseli
Sara Haseli is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Surgery and Neurology, having authored 70 papers that have together received 686 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Sarcoma Diagnosis and Treatment (6 papers), COVID-19 diagnosis using AI (6 papers), Long-Term Effects of COVID-19 (6 papers), Radiology practices and education (4 papers), Cardiac tumors and thrombi (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 and healthcare impacts (4 papers). The work is most often cited by research in Health Informatics (23 citations), Sensory Systems (59 citations), Infectious Diseases (186 citations), Neurology (142 citations) and General Dentistry (14 citations). Sara Haseli has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Mehrdad Bakhshayesh Karam, Mahboobeh Karimi‐Galougahi, Pooya Iranpour, Nasim Raad, Morteza Sanei Taheri, Neda Khalili, Nastaran Khalili, Farzaneh Dastan, Jahangir Ghorbani and Hamidreza Jamaati. Their work appears in journals such as Academic Radiology, International Immunopharmacology, Skeletal Radiology, PLoS ONE and American Journal of Otolaryngology.
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.