Sina Shool
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Spinal Cord Injury Research 4
- Co-authors
- Reza Golpira (1 shared paper)Mahmood Tara (1 shared paper)Ehsan Bitaraf (1 shared paper)Fatemeh Sayehmiri (1 shared paper)Soheil Tavakolpour (1 shared paper)Fatemeh Sodeifian (1 shared paper)Kimia Vakili (1 shared paper)Shirin Yaghoobpoor (1 shared paper)
- Journals
- Spinal Cord (2 papers)International Journal of Injury Control and Safety Promotion (1 paper)Infectious Diseases (1 paper)Molecular Neurobiology (1 paper)Global Spine Journal (1 paper)
- Partner nations
- IranUnited StatesCanada
In The Last Decade
Sina Shool
11 papers receiving 155 citations
Sina Shool's Hit Papers
Peers
Comparison fields: 5 of 58
- Health Informatics 28
- Biological Psychiatry 35
- Behavioral Neuroscience 8
- Neurology 8
- Modeling and Simulation 4
Countries citing papers authored by Sina Shool
This map shows the geographic impact of Sina Shool'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 Sina Shool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sina Shool more than expected).
Fields of papers citing papers by Sina Shool
This network shows the impact of papers produced by Sina Shool. 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 Sina Shool. The network helps show where Sina Shool may publish in the future.
Co-authors
The 25 scholars most cited alongside Sina Shool, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A systematic review of large language model (LLM) evaluations in clinical medicine Hit paper breakdown → | 2025 | 65 |
| 2 | 2022 | 51 | |
| 3 | 2021 | 20 | |
| 4 | 2021 | 7 | |
| 5 | 2022 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2026 | 0 |
About Sina Shool
Sina Shool is a scholar working on Pathology and Forensic Medicine, Infectious Diseases, Cellular and Molecular Neuroscience, Biological Psychiatry and Health Informatics, having authored 12 papers that have together received 156 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (4 papers), Macrophage Migration Inhibitory Factor (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Injury Epidemiology and Prevention (1 paper), Tryptophan and brain disorders (1 paper), Trauma and Emergency Care Studies (1 paper) and Traffic and Road Safety (1 paper). The work is most often cited by research in Health Informatics (28 citations), Biological Psychiatry (35 citations), Behavioral Neuroscience (8 citations), Neurology (8 citations) and Modeling and Simulation (4 citations). Sina Shool has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Reza Golpira, Mahmood Tara, Ehsan Bitaraf, Fatemeh Sayehmiri, Soheil Tavakolpour, Fatemeh Sodeifian, Kimia Vakili, Shirin Yaghoobpoor, Arian Tavasol and Andis Klegeris. Their work appears in journals such as Spinal Cord, International Journal of Injury Control and Safety Promotion, Infectious Diseases, Molecular Neurobiology and Global Spine Journal.
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.