Maryam Feghhi

903 total citations · 1 hit paper
6 papers, 698 citations indexed

About

Maryam Feghhi is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Maryam Feghhi has authored 6 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Epidemiology. Recurrent topics in Maryam Feghhi's work include Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (3 papers) and RNA Interference and Gene Delivery (2 papers). Maryam Feghhi is often cited by papers focused on Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (3 papers) and RNA Interference and Gene Delivery (2 papers). Maryam Feghhi collaborates with scholars based in Iran, United States and Poland. Maryam Feghhi's co-authors include Jafar Rezaie, Tahereh Etemadi, Nasrollah Jabbari, Rahim Asghari, Mahmoud Mahmoudi, Reza Rahbarghazi‬, Leila Salimi, Elinaz Akbariazar, Ali Akbari and Farzad Seidi and has published in prestigious journals such as European Journal of Pharmacology, Materials & Design and Breast Cancer Research and Treatment.

In The Last Decade

Maryam Feghhi

6 papers receiving 690 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review on exosomes application in clinical trials: perspective, questions, and challenges

2022 424 citations Jafar Rezaie, Maryam Feghhi et al. Cell Communication and Signaling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maryam Feghhi Iran	6	606	358	81	75	40	6	698
Tahereh Etemadi Iran	8	669 1.1×	406 1.1×	88 1.1×	83 1.1×	42 1.1×	12	792
Ola A. Elgamal United States	9	662 1.1×	407 1.1×	71 0.9×	63 0.8×	57 1.4×	15	751
Ning Ran China	10	517 0.9×	206 0.6×	52 0.6×	79 1.1×	46 1.1×	15	600
Katie Gilligan Ireland	7	553 0.9×	409 1.1×	60 0.7×	73 1.0×	22 0.6×	9	613
M. Franquesa Spain	2	580 1.0×	337 0.9×	56 0.7×	73 1.0×	39 1.0×	3	608
Omnia M. Elsharkasy Netherlands	3	795 1.3×	351 1.0×	117 1.4×	171 2.3×	38 0.9×	4	895
Susan M. van Dommelen Netherlands	5	542 0.9×	278 0.8×	44 0.5×	94 1.3×	50 1.3×	7	623
Alice Baek United States	4	451 0.7×	246 0.7×	55 0.7×	55 0.7×	35 0.9×	5	484
Simone-Franziska Glaser Germany	12	410 0.7×	234 0.7×	73 0.9×	72 1.0×	58 1.4×	15	637
Sierra A. Walker United States	11	604 1.0×	349 1.0×	137 1.7×	136 1.8×	22 0.6×	13	767

Countries citing papers authored by Maryam Feghhi

Since Specialization

Citations

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

Fields of papers citing papers by Maryam Feghhi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Feghhi

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

All Works

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6 of 6 papers shown

1.

Rezaie, Jafar, Tahereh Etemadi, & Maryam Feghhi. (2022). The distinct roles of exosomes in innate immune responses and therapeutic applications in cancer. European Journal of Pharmacology. 933. 175292–175292. 36 indexed citations

2.

Rezaie, Jafar, Maryam Feghhi, & Tahereh Etemadi. (2022). A review on exosomes application in clinical trials: perspective, questions, and challenges. Cell Communication and Signaling. 20(1). 145–145. 424 indexed citations breakdown →

3.

Jabbari, Nasrollah, et al.. (2022). Inhibitory effects of gallic acid on the activity of exosomal secretory pathway in breast cancer cell lines: A possible anticancer impact. Bioimpacts. 12(6). 549–559. 14 indexed citations

4.

Feghhi, Maryam, et al.. (2021). Bystander effects induced by electron beam-irradiated MCF-7 cells: a potential mechanism of therapy resistance. Breast Cancer Research and Treatment. 187(3). 657–671. 5 indexed citations

5.

Feghhi, Maryam, Jafar Rezaie, Ali Akbari, et al.. (2020). Effect of multi-functional polyhydroxylated polyhedral oligomeric silsesquioxane (POSS) nanoparticles on the angiogenesis and exosome biogenesis in human umbilical vein endothelial cells (HUVECs). Materials & Design. 197. 109227–109227. 52 indexed citations

6.

Rahbarghazi‬, Reza, Nasrollah Jabbari, Rahim Asghari, et al.. (2019). Tumor-derived extracellular vesicles: reliable tools for Cancer diagnosis and clinical applications. Cell Communication and Signaling. 17(1). 73–73. 167 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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