Somayeh Vafaei

1.2k total citations · 1 hit paper
43 papers, 792 citations indexed

About

Somayeh Vafaei is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Somayeh Vafaei has authored 43 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Somayeh Vafaei's work include Cancer Cells and Metastasis (7 papers), Uterine Myomas and Treatments (7 papers) and Endometriosis Research and Treatment (6 papers). Somayeh Vafaei is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Uterine Myomas and Treatments (7 papers) and Endometriosis Research and Treatment (6 papers). Somayeh Vafaei collaborates with scholars based in Iran, United States and China. Somayeh Vafaei's co-authors include Zahra Madjd, Angelina Olegovna Zekiy, Majid Zamani, Burhan Abdullah Zaman, Yuzhen Gao, Fahimeh Fattahi, Leili Saeednejad Zanjani, Marzieh Ebrahimi, Omid Gholizadeh and Saman Yasamineh and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Chemosphere.

In The Last Decade

Somayeh Vafaei

41 papers receiving 777 citations

Hit Papers

Combination therapy with immune checkpoint inhibitors (IC... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Somayeh Vafaei Iran 16 292 241 174 147 100 43 792
Hejing Wang China 19 423 1.4× 255 1.1× 161 0.9× 93 0.6× 212 2.1× 34 1.3k
Gregory T. Wurz United States 17 235 0.8× 277 1.1× 86 0.5× 106 0.7× 68 0.7× 50 992
Zacharias Fasoulakis Greece 14 386 1.3× 169 0.7× 202 1.2× 83 0.6× 93 0.9× 73 824
S Terlikowski Poland 19 300 1.0× 234 1.0× 198 1.1× 135 0.9× 96 1.0× 101 1.0k
Yarong Song China 17 519 1.8× 242 1.0× 343 2.0× 87 0.6× 186 1.9× 42 1.1k
Yingxin Pang China 16 551 1.9× 110 0.5× 337 1.9× 59 0.4× 61 0.6× 46 923
Yinghui Zhou China 16 341 1.2× 223 0.9× 141 0.8× 104 0.7× 59 0.6× 56 866
Fangxu Tang China 10 317 1.1× 191 0.8× 266 1.5× 40 0.3× 25 0.3× 18 753
Monica Wang United States 12 334 1.1× 229 1.0× 181 1.0× 383 2.6× 48 0.5× 77 988

Countries citing papers authored by Somayeh Vafaei

Since Specialization
Citations

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

Fields of papers citing papers by Somayeh Vafaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Somayeh Vafaei

This figure shows the co-authorship network connecting the top 25 collaborators of Somayeh Vafaei. A scholar is included among the top collaborators of Somayeh Vafaei 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 Somayeh Vafaei. Somayeh Vafaei 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.
Omran, Mervat M., Somayeh Vafaei, María Victoria Bariani, et al.. (2025). Utilising Human Myometrial and Uterine Fibroid Stem Cell‐Derived Three Dimentional Organoids as a Robust Model System for Understanding the Pathophysiology of Uterine Fibroids. Cell Proliferation. 58(9). e70025–e70025. 1 indexed citations
2.
Vafaei, Somayeh, Yuzhen Gao, Marzieh Naseri, et al.. (2025). Increased expression of PDGFA and RAF1 in Tumor-derived exosomes in humancolorectal cancer. Cellular and Molecular Biology. 71(3). 1–13.
4.
Yang, Qiwei, Somayeh Vafaei, María Victoria Bariani, et al.. (2024). Bromodomain-Containing Protein 9 Regulates Signaling Pathways and Reprograms the Epigenome in Immortalized Human Uterine Fibroid Cells. International Journal of Molecular Sciences. 25(2). 905–905. 5 indexed citations
5.
Ghasroldasht, Mohammad Mousaei, et al.. (2024). A Comparative Analysis of Naïve Exosomes and Enhanced Exosomes with a Focus on the Treatment Potential in Ovarian Disorders. Journal of Personalized Medicine. 14(5). 482–482. 7 indexed citations
6.
Ciebiera, Michał, Mohamed Ali, Qiwei Yang, et al.. (2024). Uterine fibroids: current research on novel drug targets and innovative therapeutic strategies. Expert Opinion on Therapeutic Targets. 28(8). 669–687. 8 indexed citations
7.
Ali, Mohamed, María Victoria Bariani, Somayeh Vafaei, et al.. (2023). Prevention of uterine fibroids: Molecular mechanisms and potential clinical application. PubMed. 1. 100018–100018. 11 indexed citations
8.
Ali, Mohamed, Michał Ciebiera, Somayeh Vafaei, et al.. (2023). Progesterone Signaling and Uterine Fibroid Pathogenesis; Molecular Mechanisms and Potential Therapeutics. Cells. 12(8). 1117–1117. 25 indexed citations
10.
Vafaei, Somayeh, et al.. (2023). The potential use of mesenchymal stem cells-derived exosomes as microRNAs delivery systems in different diseases. Cell Communication and Signaling. 21(1). 20–20. 81 indexed citations
11.
Yang, Qiwei, Mohamed Ali, María Victoria Bariani, Somayeh Vafaei, & Ayman Al‐Hendy. (2023). Endocrine-disrupting chemicals and epigenetic reprogramming in developmental origin of uterine fibroids. Science Progress. 106(4). 332186097–332186097. 3 indexed citations
13.
Zanjani, Leili Saeednejad, Somayeh Vafaei, Maryam Abolhasani, Fahimeh Fattahi, & Zahra Madjd. (2022). Prognostic value of Talin-1 in renal cell carcinoma and its association with B7-H3. Cancer Biomarkers. 35(3). 269–292. 10 indexed citations
14.
Vafaei, Somayeh, et al.. (2022). Combination therapy with immune checkpoint inhibitors (ICIs); a new frontier. Cancer Cell International. 22(1). 2–2. 177 indexed citations breakdown →
15.
Fattahi, Fahimeh, Leili Saeednejad Zanjani, Somayeh Vafaei, et al.. (2021). Expressions of TWIST1 and CD105 markers in colorectal cancer patients and their association with metastatic potential and prognosis. Diagnostic Pathology. 16(1). 26–26. 9 indexed citations
16.
Wang, Hao, et al.. (2021). A chemoresistance lncRNA signature for recurrence risk stratification of colon cancer patients with chemotherapy. Molecular Therapy — Nucleic Acids. 27. 427–438. 14 indexed citations
17.
Vafaei, Somayeh, Leili Saeednejad Zanjani, Marzieh Naseri, et al.. (2020). Low expression of Talin1 is associated with advanced pathological features in colorectal cancer patients. Scientific Reports. 10(1). 17786–17786. 22 indexed citations
18.
Vafaei, Somayeh, Raheleh Roudi, Zahra Madjd, Amir Reza Aref, & Marzieh Ebrahimi. (2020). Potential theranostics of circulating tumor cells and tumor-derived exosomes application in colorectal cancer. Cancer Cell International. 20(1). 25 indexed citations
19.
Wan, Ye, et al.. (2020). Effect of the Novel Coronavirus Pneumonia Pandemic on Medical Students’ Psychological Stress and Its Influencing Factors. Frontiers in Psychology. 11. 548506–548506. 39 indexed citations
20.
Vafaei, Somayeh, et al.. (2015). Designing Novel and Simple Competitive Internal Amplification Control for Reliable PCR Diagnosis of Herpes Simplex Virus. Jundishapur Journal of Microbiology. 8(2). e16260–e16260. 6 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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