Sara Simorgh

1.3k citations
44 papers · 1.0k · h-index 20

Impact in

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

Papers in

Sara Simorgh

41 papers receiving 1.0k citations

Peers

Sara Simorgh
Comparison fields: 5 of 93
  • Biomaterials 439
  • Rehabilitation 119
  • Molecular Medicine 72
  • Sensory Systems 59
  • Developmental Neuroscience 46
Replace Eiva Bernotienė with:
Eiva Bernotienė Lithuania
I‐Chi Lee Taiwan
Haibo Du China
Lien‐Guo Dai Taiwan
David Gullotti United States
Rui Alvites Portugal
Shinichi Sotome Japan
Zhongyang Liu China
Laura Sáenz del Burgo Spain
Ana Rita Caseiro Portugal
Sara Simorgh relative to Eiva Bernotienė Lithuania Eiva Bernotienė's profile →
Citations per field
00.5×4.9×
Eiva Bernotienė · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202098
2 202184
3 202070
4 202163
5 202162
6 202047
7 202246
8 202341
9 202240
10 202138
11 202337
12 201937
13 202032
14 202132
15 202028
16 202427
17 202126
18 202125
19 202023
20 201923

About Sara Simorgh

Sara Simorgh is a scholar working on Biomaterials, Biomedical Engineering, Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience, having authored 44 papers that have together received 1.0k 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), Neurogenesis and neuroplasticity mechanisms (8 papers), 3D Printing in Biomedical Research (8 papers), Tissue Engineering and Regenerative Medicine (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 (439 citations), Rehabilitation (119 citations), Molecular Medicine (72 citations), Sensory Systems (59 citations) and Developmental Neuroscience (46 citations). Sara Simorgh has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include Zohreh Bagher, Peiman Brouki Milan, Mohamad Pezeshki‐Modaress, Rafieh Alizadeh, Ahmad Hivechi, 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 Scientific Reports.

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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