Jafar Ai

25 total papers · 578 total citations
22 papers, 457 citations indexed

About

Jafar Ai is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Jafar Ai has authored 22 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Pathology and Forensic Medicine and 7 papers in Surgery. Recurrent topics in Jafar Ai's work include Nerve injury and regeneration (10 papers), Spinal Cord Injury Research (9 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Jafar Ai is often cited by papers focused on Nerve injury and regeneration (10 papers), Spinal Cord Injury Research (9 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Jafar Ai collaborates with scholars based in Iran, United States and Germany. Jafar Ai's co-authors include Somayeh Ebrahimi‐Barough, Elham Hasanzadeh, Narges Mahmoodi, Sadegh Shirian, Arefeh Basiri, Mahmoud Azami, Morteza Sagharjoghi Farahani, Seyed Mohammad Tavangar, Hossein Kargar Jahromi and Hossein Ali Khonakdar and has published in prestigious journals such as Scientific Reports, Life Sciences and Journal of Cellular Physiology.

In The Last Decade

Jafar Ai

21 papers receiving 452 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jafar Ai 212 189 171 129 75 22 457
José Gerardo‐Nava 201 0.9× 220 1.2× 171 1.0× 136 1.1× 54 0.7× 20 466
Xianzhen Dong 192 0.9× 180 1.0× 222 1.3× 102 0.8× 74 1.0× 22 537
Jiajia Shi 151 0.7× 99 0.5× 132 0.8× 158 1.2× 79 1.1× 23 509
Kiran Pawar 228 1.1× 223 1.2× 229 1.3× 116 0.9× 91 1.2× 11 530
Jared Bushman 215 1.0× 222 1.2× 154 0.9× 133 1.0× 29 0.4× 28 551
Nicholas J. Schaub 242 1.1× 208 1.1× 188 1.1× 105 0.8× 52 0.7× 26 550
Xiumin Sun 176 0.8× 267 1.4× 140 0.8× 181 1.4× 140 1.9× 14 522
Shukui Yu 134 0.6× 244 1.3× 98 0.6× 117 0.9× 132 1.8× 20 530
Liwei Yan 214 1.0× 186 1.0× 165 1.0× 215 1.7× 35 0.5× 33 524
Sajad Hassanzadeh 172 0.8× 84 0.4× 135 0.8× 68 0.5× 55 0.7× 26 409

Countries citing papers authored by Jafar Ai

Since Specialization
Citations

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

Fields of papers citing papers by Jafar Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jafar Ai

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

All Works

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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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