Faris Farassati

1.3k total citations
44 papers, 942 citations indexed

About

Faris Farassati is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Faris Farassati has authored 44 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 15 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Faris Farassati's work include Virus-based gene therapy research (8 papers), Colorectal Cancer Treatments and Studies (8 papers) and Colorectal Cancer Screening and Detection (7 papers). Faris Farassati is often cited by papers focused on Virus-based gene therapy research (8 papers), Colorectal Cancer Treatments and Studies (8 papers) and Colorectal Cancer Screening and Detection (7 papers). Faris Farassati collaborates with scholars based in United States, Iran and Canada. Faris Farassati's co-authors include Patrick W.K. Lee, An-Dao Yang, Roya Dolatkhah, Mohammad Hossein Somi, Saeed Dastgiri, Iraj Asvadi Kermani, Tuba Esfandyari, Mortaza Bonyadi, Weihong Pan and Vidya Bodempudi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Faris Farassati

44 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faris Farassati United States 17 402 401 266 157 145 44 942
Masayuki Shiseki Japan 21 439 1.1× 960 2.4× 161 0.6× 95 0.6× 125 0.9× 53 1.6k
Joan C. Smith United States 12 164 0.4× 348 0.9× 100 0.4× 56 0.4× 141 1.0× 15 1.0k
Toshihide Akasaka Japan 19 235 0.6× 346 0.9× 141 0.5× 125 0.8× 37 0.3× 72 1.0k
Thomas S. K. Wan Hong Kong 19 226 0.6× 630 1.6× 163 0.6× 70 0.4× 75 0.5× 56 1.1k
Xavier Mayol Spain 18 914 2.3× 837 2.1× 210 0.8× 76 0.5× 117 0.8× 35 1.5k
Jae Won Yun South Korea 15 201 0.5× 353 0.9× 94 0.4× 93 0.6× 166 1.1× 53 910
Yinan Shen China 16 386 1.0× 224 0.6× 224 0.8× 168 1.1× 111 0.8× 37 855
Tanasa S. Osborne United States 11 160 0.4× 291 0.7× 76 0.3× 68 0.4× 184 1.3× 15 670
Christina Susanne Mullins Germany 15 426 1.1× 365 0.9× 63 0.2× 69 0.4× 91 0.6× 46 1.0k
Ravindran Ankathil Malaysia 22 318 0.8× 649 1.6× 267 1.0× 107 0.7× 94 0.6× 99 1.3k

Countries citing papers authored by Faris Farassati

Since Specialization
Citations

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

Fields of papers citing papers by Faris Farassati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faris Farassati

This figure shows the co-authorship network connecting the top 25 collaborators of Faris Farassati. A scholar is included among the top collaborators of Faris Farassati 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 Faris Farassati. Faris Farassati 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.
Dolatkhah, Roya, et al.. (2022). Identifying the main barriers for participation in a population-based colorectal cancer screening programme in East Azerbaijan, Iran. ecancermedicalscience. 16. 1354–1354. 5 indexed citations
2.
Terai, Kaoru, Zohreh Sanaat, Roya Dolatkhah, et al.. (2018). A Novel Oncolytic Herpes Capable of Cell-Specific Transcriptional Targeting of CD133± Cancer Cells Induces Significant Tumor Regression. Stem Cells. 36(8). 1154–1169. 14 indexed citations
3.
Dolatkhah, Roya, et al.. (2018). Association of clinicopathologic characteristics and outcomes with <em>EZH2</em> expression in patients with breast cancer in East Azerbaijan, Iran. OncoTargets and Therapy. Volume 11. 449–457. 2 indexed citations
5.
Momeni‐Moghaddam, Madjid, et al.. (2016). Effect of EZH2 Inhibition on Colorectal Cancer Cells: an In Vitro Study. SHILAP Revista de lepidopterología. 2(2). 88–92. 1 indexed citations
6.
Ginn, Kevin, Kaoru Terai, Kushal Shah, et al.. (2016). RalA is overactivated in medulloblastoma. Journal of Neuro-Oncology. 130(1). 99–110. 7 indexed citations
7.
Najafzadeh, Nowruz, et al.. (2015). Low-dose all-trans retinoic acid enhances cytotoxicity of cisplatin and 5-fluorouracil on CD44+ cancer stem cells. Biomedicine & Pharmacotherapy. 74. 243–251. 30 indexed citations
8.
Terai, Kaoru, et al.. (2013). The role of RalA in biology and therapy of ovarian cancer.. Oncotarget. 9 indexed citations
9.
Wang, Kun, Vidya Bodempudi, Emma Borrego-Diaz, et al.. (2012). Inhibition of Mesothelin as a Novel Strategy for Targeting Cancer Cells. PLoS ONE. 7(4). e33214–e33214. 41 indexed citations
10.
Borrego-Diaz, Emma, et al.. (2012). Pro-Oncogenic Cell Signaling Machinery as a Target for Oncolytic Viruses. Current Pharmaceutical Biotechnology. 13(9). 1742–1749. 5 indexed citations
11.
Patel, Vijay, Emma Borrego-Diaz, Kun Wang, et al.. (2012). Inhibition of RalA signaling pathway in treatment of non-small cell lung cancer. Lung Cancer. 77(2). 252–259. 33 indexed citations
12.
Esfandyari, Tuba, Ayalew Tefferi, Tommy Alain, et al.. (2009). Transcription factors down‐stream of Ras as molecular indicators for targeting malignancies with oncolytic herpes virus. Molecular Oncology. 3(5-6). 464–468. 10 indexed citations
13.
Pan, Weihong, Vidya Bodempudi, Tuba Esfandyari, & Faris Farassati. (2009). Utilizing Ras Signaling Pathway to Direct Selective Replication of Herpes Simplex Virus-1. PLoS ONE. 4(8). e6514–e6514. 33 indexed citations
14.
Farassati, Faris, Weihong Pan, Mark Piedra, et al.. (2008). Ras Signaling Influences Permissiveness of Malignant Peripheral Nerve Sheath Tumor Cells to Oncolytic Herpes. American Journal Of Pathology. 173(6). 1861–1872. 28 indexed citations
15.
Dudek, Arkadiusz Z., Pawel Zwolak, Piotr Jasiński, et al.. (2007). Protein kinase C-β inhibitor enzastaurin (LY317615.HCI) enhances radiation control of murine breast cancer in an orthotopic model of bone metastasis. Investigational New Drugs. 26(1). 13–24. 24 indexed citations
16.
Patel, Manish R., Blake A. Jacobson, Sandra Frizelle, et al.. (2007). Ras Pathway Activation in Malignant Mesothelioma. Journal of Thoracic Oncology. 2(9). 789–795. 28 indexed citations
17.
Mashour, George A., Silke Frahm, Faris Farassati, et al.. (2005). Differential modulation of malignant peripheral nerve sheath tumor growth by omega-3 and omega-6 fatty acids. Oncogene. 24(14). 2367–2374. 13 indexed citations
18.
Frahm, Silke, Armin Kurtz, Lan Kluwe, et al.. (2004). Sulindac derivatives inhibit cell growth and induce apoptosis in primary cells from malignant peripheral nerve sheath tumors of NF1-patients. Cancer Cell International. 4(1). 4–4. 8 indexed citations
19.
Farassati, Faris, An-Dao Yang, & Patrick W.K. Lee. (2001). Oncogenes in Ras signalling pathway dictate host-cell permissiveness to herpes simplex virus 1. Nature Cell Biology. 3(8). 745–750. 191 indexed citations
20.
Norman, Kara L., Faris Farassati, & Patrick W.K. Lee. (2001). Oncolytic viruses and cancer therapy. Cytokine & Growth Factor Reviews. 12(2-3). 271–282. 27 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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