Sina Naserian

1.2k total citations
35 papers, 888 citations indexed

About

Sina Naserian is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Sina Naserian has authored 35 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Immunology and 12 papers in Genetics. Recurrent topics in Sina Naserian's work include Mesenchymal stem cell research (12 papers), Angiogenesis and VEGF in Cancer (8 papers) and Immune Cell Function and Interaction (7 papers). Sina Naserian is often cited by papers focused on Mesenchymal stem cell research (12 papers), Angiogenesis and VEGF in Cancer (8 papers) and Immune Cell Function and Interaction (7 papers). Sina Naserian collaborates with scholars based in France, Iran and Egypt. Sina Naserian's co-authors include Georges Uzan, Sara Shamdani, José L. Cohen, Mohamed Essameldin Abdelgawad, Maryam Khosravi, Nassim Arouche, Benoı̂t L. Salomon, Negar Azarpira, Caroline Pilon and Mohammad Hossein Karimi and has published in prestigious journals such as Blood, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Sina Naserian

34 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sina Naserian France 19 343 314 243 168 149 35 888
Koshiro Sonomoto Japan 16 199 0.6× 275 0.9× 274 1.1× 98 0.6× 127 0.9× 61 895
Xianghui He China 18 209 0.6× 277 0.9× 126 0.5× 159 0.9× 279 1.9× 90 951
Shihong Lu China 19 210 0.6× 440 1.4× 387 1.6× 183 1.1× 198 1.3× 59 1.1k
Raghavan Chinnadurai United States 11 175 0.5× 172 0.5× 482 2.0× 227 1.4× 153 1.0× 18 758
Jehan J. El‐Jawhari United Kingdom 18 294 0.9× 269 0.9× 362 1.5× 183 1.1× 183 1.2× 38 1.1k
Yannic Danger France 8 487 1.4× 266 0.8× 104 0.4× 107 0.6× 165 1.1× 19 971
Leisheng Zhang China 18 292 0.9× 344 1.1× 324 1.3× 143 0.9× 323 2.2× 69 1.0k
Lisa O’Flynn Ireland 15 213 0.6× 344 1.1× 783 3.2× 388 2.3× 139 0.9× 21 1.2k
Gudrun Walenda Germany 10 102 0.3× 329 1.0× 294 1.2× 242 1.4× 90 0.6× 12 762
Huiyu Yao China 13 117 0.3× 561 1.8× 375 1.5× 174 1.0× 138 0.9× 24 1.1k

Countries citing papers authored by Sina Naserian

Since Specialization
Citations

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

Fields of papers citing papers by Sina Naserian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Naserian

This figure shows the co-authorship network connecting the top 25 collaborators of Sina Naserian. A scholar is included among the top collaborators of Sina Naserian 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 Sina Naserian. Sina Naserian 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.
Ye, Fei, et al.. (2024). Fast and efficient isolation of murine circulating tumor cells using screencell technology for pre-clinical analyzes. Scientific Reports. 14(1). 15019–15019. 4 indexed citations
2.
Naserian, Sina, et al.. (2023). Human Umbilical Cord Blood Endothelial Progenitor Cell-Derived Extracellular Vesicles Control Important Endothelial Cell Functions. International Journal of Molecular Sciences. 24(12). 9866–9866. 7 indexed citations
3.
Shamdani, Sara, et al.. (2023). Research and Therapeutic Approaches in Stem Cell Genome Editing by CRISPR Toolkit. Molecules. 28(4). 1982–1982. 7 indexed citations
4.
Razi, Sara, et al.. (2022). Weighted correlation network analysis revealed novel long non-coding RNAs for colorectal cancer. Scientific Reports. 12(1). 19 indexed citations
5.
Hwang, Gilgueng, Nassim Arouche, Sina Naserian, et al.. (2021). A compact integrated microfluidic oxygenator with high gas exchange efficiency and compatibility for long-lasting endothelialization. Lab on a Chip. 21(24). 4791–4804. 17 indexed citations
6.
7.
Naserian, Sina, et al.. (2021). Post-decellularization techniques ameliorate cartilage decellularization process for tissue engineering applications. Journal of Tissue Engineering. 12. 2752712970–2752712970. 29 indexed citations
8.
Abdelgawad, Mohamed Essameldin, Christophe Desterke, Georges Uzan, & Sina Naserian. (2021). Single-cell transcriptomic profiling and characterization of endothelial progenitor cells: new approach for finding novel markers. Stem Cell Research & Therapy. 12(1). 145–145. 24 indexed citations
9.
Khosravi, Maryam, et al.. (2021). Differences and similarities between mesenchymal stem cell and endothelial progenitor cell immunoregulatory properties against T cells. World Journal of Stem Cells. 13(8). 971–984. 23 indexed citations
10.
Abdelgawad, Mohamed Essameldin, et al.. (2020). TNFR2 Is a Crucial Hub Controlling Mesenchymal Stem Cell Biological and Functional Properties. Frontiers in Cell and Developmental Biology. 8. 596831–596831. 43 indexed citations
11.
12.
Naserian, Sina, Mohamed Essameldin Abdelgawad, Nassim Arouche, et al.. (2020). The TNF/TNFR2 signaling pathway is a key regulatory factor in endothelial progenitor cell immunosuppressive effect. Cell Communication and Signaling. 18(1). 94–94. 75 indexed citations
13.
Naserian, Sina, Sara Shamdani, Nassim Arouche, & Georges Uzan. (2020). Regulatory T cell induction by mesenchymal stem cells depends on the expression of TNFR2 by T cells. Stem Cell Research & Therapy. 11(1). 534–534. 35 indexed citations
14.
Naserian, Sina, Jose Thekkiniath, Ali Teimoori, et al.. (2020). An overview of applications of CRISPR-Cas technologies in biomedical engineering. Folia Histochemica et Cytobiologica. 58(3). 163–173. 5 indexed citations
15.
Afshari, Afsoon, Sara Shamdani, Georges Uzan, Sina Naserian, & Negar Azarpira. (2020). Different approaches for transformation of mesenchymal stem cells into hepatocyte-like cells. Stem Cell Research & Therapy. 11(1). 54–54. 78 indexed citations
16.
Khosravi, Maryam, et al.. (2020). TNFα/TNFR2 signaling pathway: an active immune checkpoint for mesenchymal stem cell immunoregulatory function. Stem Cell Research & Therapy. 11(1). 281–281. 58 indexed citations
17.
Naserian, Sina, Mohamed Essameldin Abdelgawad, Nassim Arouche, et al.. (2019). Development of Bio-Artificial Micro-Vessels with Immunosuppressive Capacities: A Hope for Future Transplantations and Organoids. Blood. 134(Supplement_1). 3610–3610. 9 indexed citations
18.
Khosravi, Maryam, Mohammad Hossein Karimi, Mahdokht Hossein Aghdaei, et al.. (2017). Mesenchymal stem cells can induce regulatory T cells via modulating miR-126a but not miR-10a. Gene. 627. 327–336. 26 indexed citations
19.
Khosravi, Maryam, et al.. (2017). Induction of CD4+CD25+Foxp3+ regulatory T cells by mesenchymal stem cells is associated with RUNX complex factors. Immunologic Research. 66(1). 207–218. 30 indexed citations
20.
Leclerc, Mathieu, Sina Naserian, Caroline Pilon, et al.. (2016). Control of GVHD by regulatory T cells depends on TNF produced by T cells and TNFR2 expressed by regulatory T cells. Blood. 128(12). 1651–1659. 90 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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