Sina Shool

8 papers and 70 indexed citations i.

About

Sina Shool is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Sina Shool has authored 8 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Pathology and Forensic Medicine and 1 paper in Epidemiology. Recurrent topics in Sina Shool’s work include Spinal Cord Injury Research (3 papers), Nerve injury and regeneration (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). Sina Shool is often cited by papers focused on Spinal Cord Injury Research (3 papers), Nerve injury and regeneration (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). Sina Shool collaborates with scholars based in Iran, United States and Canada. Sina Shool's co-authors include Soheil Tavakolpour, Kimia Vakili, Shirin Yaghoobpoor, Mobina Fathi, Fatemeh Sayehmiri, Mostafa Rezaei–Tavirani, Arian Tavasol, Ramtin Hajibeygi, Andis Klegeris and Zahra Ghodsi and has published in prestigious journals such as Frontiers in Immunology, European Spine Journal and Spinal Cord.

In The Last Decade

Co-authorship network of co-authors of Sina Shool i

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.

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).

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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2025