Sina Shool

8 papers receiving 113 citations

Sina Shool's Hit Papers

A systematic review of large language model (LLM) evaluations in clinical medicine 2025 · 35 citations
350Years since publication102030

Peers

Sina Shool
Comparison fields: 5 of 63
  • Health Informatics 20
  • Biological Psychiatry 31
  • Behavioral Neuroscience 10
  • Family Practice 4
  • Infectious Diseases 20
Replace Olivia Monteiro with:
Olivia Monteiro Macao
Lícia C. Silva-Costa Brazil
M.G.L. Pich Germany
Maria Aliseychik Russia
Alexandre Gramfort Spain
Mélodie Bernaux France
Alexander Diacou United States
Matilda Dale Sweden
Elisa Salamanca France
Shan Tang China
Sina Shool relative to Olivia Monteiro Macao Olivia Monteiro's profile →
Citations per field
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Olivia Monteiro · 1×
Citations per year

Countries citing papers authored by Sina Shool

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sina Shool Line = papers co-authored together Sina Shool links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202246
2
A systematic review of large language model (LLM) evaluations in clinical medicine
Hit paper breakdown →
202535
3 202120
4 20217
5 20222
6 20242
7 20221
8 20231
9 20240
10 20240

About Sina Shool

Sina Shool is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Emergency Medicine, Psychiatry and Mental health and Infectious Diseases, having authored 10 papers that have together received 114 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (4 papers), Nerve injury and regeneration (2 papers), Trauma and Emergency Care Studies (2 papers), Stroke Rehabilitation and Recovery (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Mesenchymal stem cell research (1 paper), Emergency and Acute Care Studies (1 paper) and Bipolar Disorder and Treatment (1 paper). The work is most often cited by research in Health Informatics (20 citations), Biological Psychiatry (31 citations), Behavioral Neuroscience (10 citations), Family Practice (4 citations) and Infectious Diseases (20 citations). Sina Shool has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Mahmood Tara, Reza Golpira, Soheil Tavakolpour, Mostafa Rezaei–Tavirani, Kimia Vakili, Arian Tavasol, Andis Klegeris, Mobina Fathi, Fatemeh Sayehmiri and Shirin Yaghoobpoor. Their work appears in journals such as Spinal Cord, Global Spine Journal, Infectious Diseases, Frontiers in Immunology and European 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.

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