Farnaz Hajizadeh

647 total citations
10 papers, 349 citations indexed

About

Farnaz Hajizadeh is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Farnaz Hajizadeh has authored 10 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Farnaz Hajizadeh's work include Adenosine and Purinergic Signaling (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Immunotherapy and Immune Responses (2 papers). Farnaz Hajizadeh is often cited by papers focused on Adenosine and Purinergic Signaling (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Immunotherapy and Immune Responses (2 papers). Farnaz Hajizadeh collaborates with scholars based in Iran, Russia and Canada. Farnaz Hajizadeh's co-authors include Farhad Jadidi‐Niaragh, Ali Masjedi, Ghasem Ghalamfarsa, Gholamreza Azizi, M. V. Mikhailova, Leili Aghebati‐Maleki, Mohammad Ahmadpour, Vida Hashemi, Mitra Ghasemi Chaleshtari and Isobel Okoye and has published in prestigious journals such as PLoS ONE, Gene and Life Sciences.

In The Last Decade

Farnaz Hajizadeh

9 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farnaz Hajizadeh Iran 9 143 132 125 94 61 10 349
Filippo Cortesi Italy 10 151 1.1× 171 1.3× 174 1.4× 51 0.5× 30 0.5× 13 397
Mitra Ghasemi Chaleshtari Iran 5 123 0.9× 92 0.7× 75 0.6× 64 0.7× 36 0.6× 5 225
Azeem Sharda United States 5 181 1.3× 87 0.7× 125 1.0× 71 0.8× 74 1.2× 11 359
Feyza Gül Özbay Kurt Germany 10 159 1.1× 192 1.5× 287 2.3× 59 0.6× 69 1.1× 14 543
Isaure Vanmeerbeek Belgium 7 144 1.0× 185 1.4× 195 1.6× 61 0.6× 45 0.7× 7 375
Hong‐Gang Xiong China 9 207 1.4× 79 0.6× 79 0.6× 115 1.2× 86 1.4× 10 351
Junya Peng China 7 172 1.2× 72 0.5× 80 0.6× 89 0.9× 28 0.5× 11 277
Madison Canning United States 3 142 1.0× 198 1.5× 129 1.0× 89 0.9× 22 0.4× 5 372
Yong-Kil Hong South Korea 11 149 1.0× 134 1.0× 128 1.0× 56 0.6× 42 0.7× 22 409
Jia-Ning Chen China 7 342 2.4× 141 1.1× 163 1.3× 152 1.6× 36 0.6× 8 521

Countries citing papers authored by Farnaz Hajizadeh

Since Specialization
Citations

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

Fields of papers citing papers by Farnaz Hajizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farnaz Hajizadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Farnaz Hajizadeh. A scholar is included among the top collaborators of Farnaz Hajizadeh 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 Farnaz Hajizadeh. Farnaz Hajizadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Hajizadeh, Farnaz, et al.. (2023). MicroRNAs and their vital role in apoptosis in hepatocellular carcinoma: miRNA-based diagnostic and treatment methods. Gene. 888. 147803–147803. 8 indexed citations
3.
Masoumi, Javad, Farid Ghorbaninezhad, Neda Shajari, et al.. (2022). The modulatory role of dendritic cell-T cell cross-talk in breast cancer: Challenges and prospects. Advances in Medical Sciences. 67(2). 353–363. 14 indexed citations
4.
Hajizadeh, Farnaz, Angelina Olegovna Zekiy, Ali Masjedi, et al.. (2021). Simultaneous inhibition of CD73 and IL-6 molecules by siRNA-loaded nanoparticles prevents the growth and spread of cancer. Nanomedicine Nanotechnology Biology and Medicine. 34. 102384–102384. 17 indexed citations
5.
Masjedi, Ali, et al.. (2020). Oncostatin M: A mysterious cytokine in cancers. International Immunopharmacology. 90. 107158–107158. 58 indexed citations
6.
Hajizadeh, Farnaz, Leili Aghebati‐Maleki, M. V. Mikhailova, et al.. (2020). Tumor-associated neutrophils as new players in immunosuppressive process of the tumor microenvironment in breast cancer. Life Sciences. 264. 118699–118699. 68 indexed citations
7.
Hajizadeh, Farnaz, Ali Masjedi, Sepideh Izadi, et al.. (2020). Combined inhibition of CD73 and ZEB1 by Arg-Gly-Asp (RGD)-targeted nanoparticles inhibits tumor growth. Colloids and Surfaces B Biointerfaces. 197. 111421–111421. 21 indexed citations
8.
Hajizadeh, Farnaz, Ali Masjedi, Fatemeh Atyabi, et al.. (2020). Silencing of HIF-1α/CD73 axis by siRNA-loaded TAT-chitosan-spion nanoparticles robustly blocks cancer cell progression. European Journal of Pharmacology. 882. 173235–173235. 55 indexed citations
9.
Hajizadeh, Farnaz, et al.. (2020). Adenosine and adenosine receptors in colorectal cancer. International Immunopharmacology. 87. 106853–106853. 26 indexed citations
10.
Hajizadeh, Farnaz, Isobel Okoye, Mitra Ghasemi Chaleshtari, et al.. (2019). Hypoxia inducible factors in the tumor microenvironment as therapeutic targets of cancer stem cells. Life Sciences. 237. 116952–116952. 82 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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