Alibay Jafarli

618 total citations · 1 hit paper
7 papers, 338 citations indexed

About

Alibay Jafarli is a scholar working on Neurology, Epidemiology and Neurology. According to data from OpenAlex, Alibay Jafarli has authored 7 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 6 papers in Epidemiology and 2 papers in Neurology. Recurrent topics in Alibay Jafarli's work include Acute Ischemic Stroke Management (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Intracerebral and Subarachnoid Hemorrhage Research (4 papers). Alibay Jafarli is often cited by papers focused on Acute Ischemic Stroke Management (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Intracerebral and Subarachnoid Hemorrhage Research (4 papers). Alibay Jafarli collaborates with scholars based in United States, Italy and United Kingdom. Alibay Jafarli's co-authors include Afshin A. Divani, Mario Di Napoli, Kunal Bhatia, Sara Y. Sabbagh, Archana Hinduja, Maryam Hosseini Farahabadi, Diana Alsbrook, Miguel Á. Rodríguez, Magdy Selim and José Biller and has published in prestigious journals such as Stroke, Current Neurology and Neuroscience Reports and Neurocritical Care.

In The Last Decade

Alibay Jafarli

7 papers receiving 338 citations

Hit Papers

Neuroinflammation in Acute Ischemic and Hemorrhagic Stroke 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alibay Jafarli United States 6 138 124 110 68 36 7 338
Kunal Bhatia United States 9 130 0.9× 120 1.0× 106 1.0× 64 0.9× 37 1.0× 19 358
Diana Alsbrook United States 6 150 1.1× 146 1.2× 175 1.6× 68 1.0× 46 1.3× 15 410
Sergi Amaro Spain 8 108 0.8× 116 0.9× 166 1.5× 54 0.8× 43 1.2× 14 324
Yong-Feng Shen China 14 247 1.8× 62 0.5× 120 1.1× 141 2.1× 75 2.1× 19 408
Sara Y. Sabbagh Italy 3 85 0.6× 111 0.9× 51 0.5× 58 0.9× 36 1.0× 3 246
Sherry H-Y Chou United States 5 129 0.9× 73 0.6× 79 0.7× 62 0.9× 28 0.8× 10 242
Danhong Wu China 11 57 0.4× 56 0.5× 117 1.1× 85 1.3× 19 0.5× 16 279
Joseph Tarsia United States 5 54 0.4× 111 0.9× 156 1.4× 105 1.5× 21 0.6× 8 353
Junshan Zhou China 9 226 1.6× 83 0.7× 163 1.5× 66 1.0× 30 0.8× 15 367
Canfei Zhang China 8 82 0.6× 105 0.8× 104 0.9× 87 1.3× 17 0.5× 11 312

Countries citing papers authored by Alibay Jafarli

Since Specialization
Citations

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

Fields of papers citing papers by Alibay Jafarli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alibay Jafarli

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

All Works

7 of 7 papers shown
1.
Alsbrook, Diana, Mario Di Napoli, Kunal Bhatia, et al.. (2023). Neuroinflammation in Acute Ischemic and Hemorrhagic Stroke. Current Neurology and Neuroscience Reports. 23(8). 407–431. 194 indexed citations breakdown →
2.
Zarean, Elaheh, Simona Lattanzi, Mehdi Azizmohammad Looha, et al.. (2021). Glycemic Gap Predicts in-Hospital Mortality in Diabetic Patients with Intracerebral Hemorrhage. Journal of Stroke and Cerebrovascular Diseases. 30(5). 105669–105669. 18 indexed citations
3.
Divani, Afshin A., Alexander Petersen, Simona Lattanzi, et al.. (2020). The Magnitude of Blood Pressure Reduction Predicts Poor In-Hospital Outcome in Acute Intracerebral Hemorrhage. Neurocritical Care. 33(2). 389–398. 13 indexed citations
4.
Divani, Afshin A., Mario Di Napoli, Simona Lattanzi, et al.. (2019). Blood Pressure Variability Predicts Poor In-Hospital Outcome in Spontaneous Intracerebral Hemorrhage. Stroke. 50(8). 2023–2029. 75 indexed citations
5.
Fisher, Marc, et al.. (2019). A Brief Review of Edema-Adjusted Infarct Volume Measurement Techniques for Rodent Focal Cerebral Ischemia Models with Practical Recommendations.. PubMed. 10(3). 38–45. 22 indexed citations
6.
Divani, Afshin A., Tracy D. Farr, Mario Di Napoli, et al.. (2019). Transfemoral Approach to Induce Transient Middle Cerebral Artery Occlusion in Rats: The Use of Commercially Available Endovascular Wires. Neurocritical Care. 32(2). 575–585. 3 indexed citations
7.
Napoli, Mario Di, Mostafa Jafari, Alibay Jafarli, et al.. (2019). Exploration of Multiparameter Hematoma 3D Image Analysis for Predicting Outcome After Intracerebral Hemorrhage. Neurocritical Care. 32(2). 539–549. 13 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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