Shahnaz Razavi

102 papers receiving 3.2k citations

Hit Papers

Multiple Sclerosis: Pathogenesis, Symptoms, Diagnoses and Cell-Based Therapy. 2016 · 498 citations
4980+3+6Years since publication100200300400

Peers

Shahnaz Razavi
Comparison fields: 5 of 140
  • Reproductive Medicine 1.0k
  • Developmental Neuroscience 238
  • Biomaterials 642
  • Genetics 341
  • Public Health, Environmental and Occupational Health 859
Replace Hao Yang with:
Hao Yang China
Ye Chun Ruan China
Abbas Piryaei Iran
Alp Can Türkiye
Ying‐Zheng Zhao China
Jeong Tae South Korea
Kimberly B. Bjugstad United States
Valentina Gatta Italy
Yuan Yang China
Erdal Karaöz Türkiye
Shahnaz Razavi relative to Hao Yang China Hao Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shahnaz Razavi

Since Specialization
Citations

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

Fields of papers citing papers by Shahnaz Razavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shahnaz Razavi, 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 Shahnaz Razavi Line = papers co-authored together Shahnaz Razavi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multiple Sclerosis: Pathogenesis, Symptoms, Diagnoses and Cell-Based Therapy.
Hit paper breakdown →
2016498
2 2013143
3 2016115
4 2005113
5 2008110
6 2008108
7 2001108
8 2016105
9 201398
10 200382
11 200977
12 200876
13 201470
14 201567
15 200467
16 200466
17 201153
18 201551
19 201951
20 200749

About Shahnaz Razavi

Shahnaz Razavi is a scholar working on Molecular Biology, Genetics, Reproductive Medicine, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 102 papers that have together received 3.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (27 papers), Neurogenesis and neuroplasticity mechanisms (24 papers), Sperm and Testicular Function (23 papers), Nerve injury and regeneration (19 papers), Electrospun Nanofibers in Biomedical Applications (15 papers), Reproductive Biology and Fertility (15 papers), Pluripotent Stem Cells Research (15 papers) and Tissue Engineering and Regenerative Medicine (13 papers). The work is most often cited by research in Reproductive Medicine (1.0k citations), Developmental Neuroscience (238 citations), Biomaterials (642 citations), Genetics (341 citations) and Public Health, Environmental and Occupational Health (859 citations). Shahnaz Razavi has collaborated with scholars based in Iran, Singapore and United States. Frequent co-authors include Mohammad Hossein Nasr‐Esfahani, Nazem Ghasemi, Mohammad Mardani, Marziyeh Tavalaee, Saeed Karbasi, Mohammad Kazemi, Hossein Salehi, Mohammad Morshed, Ebrahim Esfandiari and Elham Vatankhah. Their work appears in journals such as Journal of Molecular Neuroscience, Stem Cells and Development, Reproductive BioMedicine Online, Andrologia and Fertility and Sterility.

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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