Jafar Ai

588 total citations
23 papers, 464 citations indexed

About

Jafar Ai is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Biomaterials. According to data from OpenAlex, Jafar Ai has authored 23 papers receiving a total of 464 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 8 papers in Biomaterials. 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 (5 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 (5 papers). Jafar Ai collaborates with scholars based in Iran, Germany and United States. 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 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jafar Ai Iran 13 213 191 173 129 76 23 464
Xianzhen Dong China 12 199 0.9× 190 1.0× 226 1.3× 108 0.8× 75 1.0× 24 565
Jared Bushman United States 14 216 1.0× 226 1.2× 155 0.9× 133 1.0× 29 0.4× 28 555
Elham Hasanzadeh Iran 15 303 1.4× 152 0.8× 277 1.6× 161 1.2× 29 0.4× 34 638
Sajad Hassanzadeh Iran 14 179 0.8× 86 0.5× 140 0.8× 73 0.6× 57 0.8× 26 427
Liwei Yan China 13 219 1.0× 189 1.0× 170 1.0× 220 1.7× 35 0.5× 33 535
Trevor R. Ham United States 10 157 0.7× 126 0.7× 84 0.5× 79 0.6× 80 1.1× 15 422
Narges Mahmoodi Iran 13 233 1.1× 131 0.7× 207 1.2× 97 0.8× 20 0.3× 19 458
Chun‐Yi Yang China 9 145 0.7× 122 0.6× 148 0.9× 77 0.6× 36 0.5× 13 392

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

20 of 20 papers shown
1.
Bahrami, Naghmeh, et al.. (2025). The fundamentals of tissue engineering in the process of alveolar bone regeneration. Journal of Oral and Maxillofacial Surgery Medicine and Pathology. 38(1). 1–10.
2.
Abdoos, Hassan, et al.. (2025). Cellulose-based hydrogels enhanced with bioactive molecules for optimal chronic diabetic wound management. Journal of Microencapsulation. 42(4). 313–336. 3 indexed citations
3.
4.
5.
Ai, Jafar, et al.. (2023). A Review of Treatment Approaches for Spinal Cord Injury Improvement. 12(1). 111–120.
6.
Ai, Arman, Elham Hasanzadeh, Farzaneh Safshekan, et al.. (2023). Enhanced spinal cord regeneration by gelatin/alginate hydrogel scaffolds containing human endometrial stem cells and curcumin-loaded PLGA nanoparticles in rat. Life Sciences. 330. 122035–122035. 17 indexed citations
7.
8.
Mahmoodi, Narges, Jafar Ai, Zahra Hassannejad, et al.. (2021). Improving motor neuron-like cell differentiation of hEnSCs by the combination of epothilone B loaded PCL microspheres in optimized 3D collagen hydrogel. Scientific Reports. 11(1). 21722–21722. 15 indexed citations
9.
Ai, Jafar, et al.. (2021). Berberine loaded chitosan nanoparticles encapsulated in polysaccharide-based hydrogel for the repair of spinal cord. International Journal of Biological Macromolecules. 182. 82–90. 53 indexed citations
10.
Karimi, Roya, Zahra Barabadi, Bagher Larijani, et al.. (2020). Comparison of insulin secretion by transduced adipose‐derived and endometrial‐derived stem cells in 2D and 3D cultures on fibrin scaffold. Journal of Biomedical Materials Research Part A. 109(6). 1036–1044. 2 indexed citations
11.
Mahmoodi, Narges, Jafar Ai, Zahra Hassannejad, et al.. (2020). Are reported methods for synthesizing nanoparticles and microparticles by magnetic stirrer reproducible. Applied and Computational Mechanics. 51(2). 498–500. 5 indexed citations
12.
Mahmoodi, Narges, Jafar Ai, Somayeh Ebrahimi‐Barough, et al.. (2020). Microtubule stabilizer epothilone B as a motor neuron differentiation agent for human endometrial stem cells. Cell Biology International. 44(5). 1168–1183. 14 indexed citations
13.
Hasanzadeh, Elham, Somayeh Ebrahimi‐Barough, Narges Mahmoodi, et al.. (2020). Defining the role of 17β‐estradiol in human endometrial stem cells differentiation into neuron‐like cells. Cell Biology International. 45(1). 140–153. 22 indexed citations
14.
Goodarzi, Arash, Mehdi Khanmohammadi, Mohammad Reza Ataollahi, et al.. (2020). Chitosan/gelatin hydrogel and endometrial stem cells with subsequent atorvastatin injection impact in regenerating spinal cord tissue. Journal of Drug Delivery Science and Technology. 58. 101831–101831. 37 indexed citations
15.
Basiri, Arefeh, Mehdi Farokhi, Mahmoud Azami, et al.. (2019). A silk fibroin/decellularized extract of Wharton’s jelly hydrogel intended for cartilage tissue engineering. Progress in Biomaterials. 8(1). 31–42. 43 indexed citations
16.
Nasirinezhad, Farinaz, Somayeh Ebrahimi‐Barough, Hooshang Saberi, et al.. (2019). Transplantation of miR‐219 overexpressed human endometrial stem cells encapsulated in fibrin hydrogel in spinal cord injury. Journal of Cellular Physiology. 234(10). 18887–18896. 25 indexed citations
17.
Ai, Jafar, et al.. (2019). A novel inexpensive method for preparation of silk nanofibers from cocoons. Eurasian Chemical Communications. 1(3). 301–309. 1 indexed citations
18.
Jahromi, Hossein Kargar, Ali Farzin, Elham Hasanzadeh, et al.. (2019). Enhanced sciatic nerve regeneration by poly-L-lactic acid/multi-wall carbon nanotube neural guidance conduit containing Schwann cells and curcumin encapsulated chitosan nanoparticles in rat. Materials Science and Engineering C. 109. 110564–110564. 78 indexed citations
19.
Hasanzadeh, Elham, Somayeh Ebrahimi‐Barough, Esmaeil Mirzaei, et al.. (2018). Preparation of fibrin gel scaffolds containing MWCNT/PU nanofibers for neural tissue engineering. Journal of Biomedical Materials Research Part A. 107(4). 802–814. 66 indexed citations
20.
Ebrahimi‐Barough, Somayeh, Mohammad Ali Derakhshan, Meysam Yazdankhah, et al.. (2018). PCL/gelatin nanofibrous scaffolds with human endometrial stem cells/Schwann cells facilitate axon regeneration in spinal cord injury. Journal of Cellular Physiology. 234(7). 11060–11069. 43 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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