Shan Ali

985 total citations
51 papers, 623 citations indexed

About

Shan Ali is a scholar working on General Health Professions, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shan Ali has authored 51 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in General Health Professions, 10 papers in Neurology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shan Ali's work include Health Literacy and Information Accessibility (8 papers), Social Media in Health Education (7 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). Shan Ali is often cited by papers focused on Health Literacy and Information Accessibility (8 papers), Social Media in Health Education (7 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). Shan Ali collaborates with scholars based in Poland, United States and Pakistan. Shan Ali's co-authors include Tomasz Szmuda, Paweł Słoniewski, Akshita Singh, FERNANDO CESANI, Daniel F. Cowan, Morton H. Leonard, Javier Villanueva‐Meyer, Jacek Jassem, Renata Duchnowska and Muhammad Uzair and has published in prestigious journals such as Neurology, Renewable Energy and Journal of Medical Internet Research.

In The Last Decade

Shan Ali

47 papers receiving 605 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shan Ali Poland 13 208 155 107 107 80 51 623
Michael K. Rooney United States 12 184 0.9× 59 0.4× 57 0.5× 108 1.0× 85 1.1× 71 708
Tony Fouweather United Kingdom 11 218 1.0× 197 1.3× 52 0.5× 33 0.3× 55 0.7× 22 898
Mohammed Al-Hamadani United States 8 152 0.7× 161 1.0× 85 0.8× 42 0.4× 26 0.3× 9 485
Hadyn Kankam United Kingdom 10 92 0.4× 85 0.5× 61 0.6× 28 0.3× 38 0.5× 27 740
Michael S. Cowher United States 8 187 0.9× 205 1.3× 90 0.8× 30 0.3× 15 0.2× 16 524
Brian McGowan United Kingdom 15 329 1.6× 189 1.2× 104 1.0× 21 0.2× 29 0.4× 33 907
Zhenke Wu United States 11 60 0.3× 52 0.3× 48 0.4× 32 0.3× 33 0.4× 47 556
Sandra Millon‐Underwood United States 13 198 1.0× 34 0.2× 67 0.6× 42 0.4× 52 0.7× 21 824
Jamie Chang United States 15 214 1.0× 46 0.3× 114 1.1× 552 5.2× 193 2.4× 32 1.4k
Christina R. Vargas United States 22 416 2.0× 266 1.7× 50 0.5× 80 0.7× 89 1.1× 45 996

Countries citing papers authored by Shan Ali

Since Specialization
Citations

This map shows the geographic impact of Shan Ali'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 Shan Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Ali more than expected).

Fields of papers citing papers by Shan Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan Ali. 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 Shan Ali. The network helps show where Shan Ali may publish in the future.

Co-authorship network of co-authors of Shan Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Ali. A scholar is included among the top collaborators of Shan Ali 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 Shan Ali. Shan Ali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Waszak, Przemysław, et al.. (2025). Underreporting of Adverse Events Following COVID-19 Vaccination Among Healthcare Professionals in Poland: Potential Implications for Vaccine Hesitancy. Tropical Medicine and Infectious Disease. 10(11). 320–320. 1 indexed citations
2.
Ali, Shan, et al.. (2025). 306 Sensitivity of Microorganism Detection on ThinPrep Pap Test Utilizing the Hologic Genius Digital Diagnostics System. Laboratory Investigation. 105(3). 102533–102533. 1 indexed citations
3.
Eldrige, Jason S., et al.. (2024). Interventional pain management of CRPS in the pediatric population: A literature review. Interventional Pain Medicine. 3(4). 100532–100532. 1 indexed citations
4.
Pettersson, Samuel D., Shunsuke Koga, Shan Ali, et al.. (2024). Cerebral Artery Overexpression of the NMUR1 Gene Is Associated with Moyamoya Disease: A Weighted Gene Co-Expression Network Analysis. Cerebrovascular Diseases. 54(1). 1–10. 1 indexed citations
5.
Pettersson, Samuel D., et al.. (2024). Evaluation of PHASES Score for Predicting Rupture of Intracranial Aneurysms: Significance of Aneurysm Size. World Neurosurgery. 184. e178–e184. 5 indexed citations
6.
Bidzan, Leszek, et al.. (2023). Aggressive behavior and prognosis in patients with mild cognitive impairment. Dementia & Neuropsychologia. 17. 1 indexed citations
7.
Pettersson, Samuel D., et al.. (2023). Risk Factors for Ischemic Stroke After Revascularization Surgery in Patients with Moyamoya Disease: An Age-Stratified Comparative Meta-Analysis. World Neurosurgery. 173. 146–157.e14. 5 indexed citations
8.
Ali, Shan & Zbigniew K. Wszołek. (2022). LRRK2 R1441C mutation causing Parkinson’s Disease in an Egyptian family. Neurologia i Neurochirurgia Polska. 56(2). 191–192. 3 indexed citations
9.
Szmuda, Tomasz, et al.. (2021). YouTube as a source of information for arteriovenous malformations: A content‐quality and optimization analysis. Clinical Neurology and Neurosurgery. 207. 106723–106723. 16 indexed citations
10.
11.
Szmuda, Tomasz, et al.. (2021). YouTube as a source of patient information for meningitis: A content-quality and audience engagement analysis. Clinical Neurology and Neurosurgery. 202. 106483–106483. 6 indexed citations
12.
Szmuda, Tomasz, et al.. (2020). YouTube as a source of patient information for stroke: A content-quality and an audience engagement analysis. Journal of Stroke and Cerebrovascular Diseases. 29(9). 105065–105065. 51 indexed citations
13.
Szmuda, Tomasz, et al.. (2020). Extent of anterior clinoidectomy for clipping of carotid-ophthalmic aneurysms predicted on three-dimensional computerised tomography angiography. Neurologia i Neurochirurgia Polska. 54(2). 138–149. 2 indexed citations
14.
Szmuda, Tomasz, et al.. (2020). YouTube as a Source of Patient Information for Hydrocephalus: A Content-Quality and Optimization Analysis. World Neurosurgery. 138. e469–e477. 48 indexed citations
15.
Szmuda, Tomasz, et al.. (2020). Are online searches for the novel coronavirus (COVID-19) related to media or epidemiology? A cross-sectional study. International Journal of Infectious Diseases. 97. 386–390. 29 indexed citations
16.
17.
Szmuda, Tomasz, Shan Ali, & Paweł Słoniewski. (2018). Neurosurgery residency burnout: what can prevent this?. Neurologia i Neurochirurgia Polska. 53(5). 392–395. 3 indexed citations
18.
Aydemir, M. Timur, et al.. (2017). Optimum Placement of PMUs in the Power Transmission System of Afghanistan. Gazi university journal of science. 30(4). 268–281. 1 indexed citations
19.
Ali, Shan, et al.. (2014). The quality of online information regarding dental implants. BDJ. 217(9). E16–E16. 13 indexed citations
20.
Schmued, L C, et al.. (1993). Localization of domoic acid induced neural degeneration in the primate forebrain as revealed by conventional silver methodologies and by a novel fluorescent technique. The Society for Neuroscience Abstracts. 19. 1322. 2 indexed citations

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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