Sara Simorgh

1.3k citations
42 papers · 969 · h-index 20

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications
    • Wound Healing and Treatments

Papers in

Sara Simorgh

39 papers receiving 959 citations

Peers

Sara Simorgh
Comparison fields: 5 of 95
  • Biomaterials 449
  • Rehabilitation 120
  • Molecular Medicine 74
  • Developmental Neuroscience 51
  • Sensory Systems 57
Replace Lien‐Guo Dai with:
Lien‐Guo Dai Taiwan
Shinichi Sotome Japan
Zhongyang Liu China
Bai‐Shuan Liu Taiwan
David Gullotti United States
Zhihai Fan China
Jingkai Wang China
I‐Chi Lee Taiwan
Qingtang Zhu China
Rui Alvites Portugal
Sara Simorgh relative to Lien‐Guo Dai Taiwan Lien‐Guo Dai's profile →
Citations per field
00.5×9.5×
Lien‐Guo Dai · 1×
Citations per year

Countries citing papers authored by Sara Simorgh

Since Specialization
Citations

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

Fields of papers citing papers by Sara Simorgh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sara Simorgh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sara Simorgh Line = papers co-authored together Sara Simorgh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202098
2 202183
3 202069
4 202161
5 202160
6 202046
7 202246
8 202239
9 201937
10 202137
11 202336
12 202334
13 202132
14 202031
15 202026
16 202126
17 202423
18 202123
19 201923
20 202023

About Sara Simorgh

Sara Simorgh is a scholar working on Biomaterials, Biomedical Engineering, Molecular Biology, Cellular and Molecular Neuroscience and Surgery, having authored 42 papers that have together received 969 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (13 papers), Bone Tissue Engineering Materials (10 papers), Nerve injury and regeneration (9 papers), 3D Printing in Biomedical Research (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Olfactory and Sensory Function Studies (6 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Biomaterials (449 citations), Rehabilitation (120 citations), Molecular Medicine (74 citations), Developmental Neuroscience (51 citations) and Sensory Systems (57 citations). Sara Simorgh has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include Zohreh Bagher, Mohamad Pezeshki‐Modaress, Peiman Brouki Milan, Ahmad Hivechi, Rafieh Alizadeh, Sarah Karimi, Najmeh Najmoddin, S. Hajir Bahrami, Seyed Mohammad Davachi and Seyed Kamran Kamrava. Their work appears in journals such as International Journal of Biological Macromolecules, Biomedical Materials, Carbohydrate Polymers, Journal of Biomedical Materials Research Part A and Macromolecular Materials and Engineering.

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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