Reza Shirkoohi

100.0k total citations
75 papers, 928 citations indexed

About

Reza Shirkoohi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Reza Shirkoohi has authored 75 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 21 papers in Oncology and 16 papers in Cancer Research. Recurrent topics in Reza Shirkoohi's work include Cancer Cells and Metastasis (9 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (7 papers). Reza Shirkoohi is often cited by papers focused on Cancer Cells and Metastasis (9 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (7 papers). Reza Shirkoohi collaborates with scholars based in Iran, Japan and Canada. Reza Shirkoohi's co-authors include Mohammad Hossein Modarressi, Ahad Muhammadnejad, Maryam Beigom Mobasheri, Tadashi Ariga, Hídeaki Kikuta, Rika Endo, Nobuhisa Ishiguro, Takashi Ebihara, Hiroaki Ishiko and Koji Nakagawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Clinical Microbiology.

In The Last Decade

Reza Shirkoohi

71 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reza Shirkoohi Iran 17 464 224 190 167 111 75 928
Jae Won Yun South Korea 15 353 0.8× 253 1.1× 201 1.1× 93 0.6× 94 0.8× 53 910
Guanhua Rao China 20 556 1.2× 248 1.1× 351 1.8× 225 1.3× 51 0.5× 34 1.1k
Qian Wu China 20 508 1.1× 285 1.3× 383 2.0× 162 1.0× 53 0.5× 81 1.1k
Xiaoli Shi China 13 267 0.6× 181 0.8× 141 0.7× 108 0.6× 66 0.6× 35 716
Hua Geng China 19 897 1.9× 407 1.8× 206 1.1× 97 0.6× 75 0.7× 44 1.4k
Bin Qiao China 18 408 0.9× 188 0.8× 353 1.9× 87 0.5× 47 0.4× 36 874
Hamid Asadzadeh Aghdaei Iran 19 369 0.8× 240 1.1× 260 1.4× 140 0.8× 170 1.5× 73 961
Fankai Meng China 19 612 1.3× 283 1.3× 327 1.7× 103 0.6× 95 0.9× 70 1.1k
Masayuki Shiseki Japan 21 960 2.1× 302 1.3× 439 2.3× 95 0.6× 161 1.5× 53 1.6k
Delphine Bonnet France 17 250 0.5× 119 0.5× 241 1.3× 132 0.8× 128 1.2× 53 1.0k

Countries citing papers authored by Reza Shirkoohi

Since Specialization
Citations

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

Fields of papers citing papers by Reza Shirkoohi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Shirkoohi

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Shirkoohi. A scholar is included among the top collaborators of Reza Shirkoohi 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 Reza Shirkoohi. Reza Shirkoohi 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.
Taghavi, Elham, et al.. (2025). Diagnostic Power of MicroRNAs in Melanoma: Integrating Machine Learning for Enhanced Accuracy and Pathway Analysis. Journal of Cellular and Molecular Medicine. 29(2). e70367–e70367. 1 indexed citations
2.
Eskandarieh, Sharareh, et al.. (2025). The LINC01270/miR-29c-3p/LOX axis drives gastric cancer progression: Bioinformatics and experimental validation. Biochemistry and Biophysics Reports. 43. 102107–102107.
3.
Eskandarieh, Sharareh, et al.. (2024). Prediction of novel biomarkers for gastric intestinal metaplasia and gastric adenocarcinoma using bioinformatics analysis. Heliyon. 10(9). e30253–e30253. 3 indexed citations
4.
Fathian, Mohammad, et al.. (2024). Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach. BMC Bioinformatics. 25(1). 33–33. 11 indexed citations
5.
Shirkoohi, Reza, et al.. (2023). Evaluation of IGF2, KRT14, and KRT20 as Urinary Biomarkers in Patients with Bladder Cancer. PubMed. 11(4). 710–719. 3 indexed citations
6.
Eslami, Bita, et al.. (2022). Evaluation of the indication of BRCA1/2 genetic tests in Iranian women and acceptance rate of risk‐reducing surgeries in BRCA mutation carriers. Molecular Genetics & Genomic Medicine. 10(2). e1867–e1867. 3 indexed citations
7.
8.
Pirhoushiaran, Maryam, et al.. (2021). Gene Expression Profiling and Clinicopathological Importance of Fer1L4 and DANCR Long Non Coding RNAs in Patients with Head and Neck Squamous Cell Carcinoma. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 2 indexed citations
9.
Saffari, Mojtaba, Mohammad Hossein Modarressi, Reza Shirkoohi, et al.. (2020). Plasma 5-miRNA as Biomarkers for Identifying Prostate Cancer Patients. Iranian Journal of Public Health. 48(9). 1743–1745. 2 indexed citations
10.
Baghdadi, Taghi, et al.. (2019). DNA hypermethylation of GDF5 in developmental dysplasia of the hip (DDH). Molecular Genetics & Genomic Medicine. 7(9). e887–e887. 18 indexed citations
11.
Saffari, Mojtaba, et al.. (2018). Evaluating Gelsolin Gene Expression Among Iranian Breast Cancer Patients. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Saffari, Mojtaba, et al.. (2016). Melanoma in Iran: a Retrospective 10-Year Study.. PubMed. 17(6). 2751–5. 6 indexed citations
13.
Hashemi, Mehrdad, et al.. (2016). BIRC5 Genomic Copy Number Variation in Early-Onset Breast Cancer.. PubMed. 20(4). 241–5. 29 indexed citations
14.
Hemmati, Mohammad, Farhood Najafi, Reza Shirkoohi, et al.. (2016). Synthesis of a novel PEGDGA-coated hPAMAM complex as an efficient and biocompatible gene delivery vector: an in vitro and in vivo study. Drug Delivery. 23(8). 2956–2969. 9 indexed citations
15.
Shirkoohi, Reza, et al.. (2015). Association between occludin gene expression and clinical morphological characteristics in breast cancer. Tehran University Medical Journal TUMS Publications. 73(1). 18–23. 1 indexed citations
16.
Hashemi, Mehrdad, et al.. (2015). Comparative Analyses of Villin and HER-2 Genes Expression in Breast Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Mobasheri, Maryam Beigom, Reza Shirkoohi, Kazem Zendehdel, et al.. (2015). Transcriptome analysis of the cancer/testis genes, DAZ1, AURKC, and TEX101, in breast tumors and six breast cancer cell lines. Tumor Biology. 36(10). 8201–8206. 18 indexed citations
18.
Shirkoohi, Reza, et al.. (2014). Overexpression of enhancer of zeste human homolog 2 (EZH2) gene in human cytomegalovirus positive glioblastoma multiforme tissues. Medical Oncology. 31(11). 252–252. 20 indexed citations
19.
Toogeh, Gholamreza, et al.. (2010). Visceral Leishmaniasis Presented as Myelofibrosis and Low grade lymphoma in a Sporadic Region of Iran, Report a Rare Case. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Darmanin, Stephanie, Jian Chen, Songji Zhao, et al.. (2007). All- trans Retinoic Acid Enhances Murine Dendritic Cell Migration to Draining Lymph Nodes via the Balance of Matrix Metalloproteinases and Their Inhibitors. The Journal of Immunology. 179(7). 4616–4625. 60 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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