Soudeh Ghafouri‐Fard

17.9k total citations · 2 hit papers
817 papers, 13.1k citations indexed

About

Soudeh Ghafouri‐Fard is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Soudeh Ghafouri‐Fard has authored 817 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 553 papers in Molecular Biology, 459 papers in Cancer Research and 88 papers in Immunology. Recurrent topics in Soudeh Ghafouri‐Fard's work include Cancer-related molecular mechanisms research (386 papers), Circular RNAs in diseases (216 papers) and MicroRNA in disease regulation (209 papers). Soudeh Ghafouri‐Fard is often cited by papers focused on Cancer-related molecular mechanisms research (386 papers), Circular RNAs in diseases (216 papers) and MicroRNA in disease regulation (209 papers). Soudeh Ghafouri‐Fard collaborates with scholars based in Iran, Iraq and Germany. Soudeh Ghafouri‐Fard's co-authors include Mohammad Taheri, Bashdar Mahmud Hussen, Hamed Shoorei, Mir Davood Omrani, Atefe Abak, Arezou Sayad, Rezvan Noroozi, Mohammad Hossein Modarressi, Shahram Arsang‐Jang and Tayyebeh Khoshbakht and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

In The Last Decade

Soudeh Ghafouri‐Fard

780 papers receiving 12.9k citations

Hit Papers

MicroRNA: A signature for cancer progression 2021 2026 2022 2024 2021 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soudeh Ghafouri‐Fard Iran 51 8.8k 7.2k 1.4k 1.1k 891 817 13.1k
Mohammad Taheri Iran 45 7.4k 0.8× 6.4k 0.9× 980 0.7× 920 0.8× 829 0.9× 700 11.3k
Fang Liu China 60 8.6k 1.0× 3.4k 0.5× 829 0.6× 1.4k 1.2× 873 1.0× 386 12.9k
Wei Wang China 51 6.9k 0.8× 4.4k 0.6× 1.4k 1.0× 1.8k 1.6× 681 0.8× 521 11.5k
Jing Zhang China 50 7.5k 0.8× 3.3k 0.5× 894 0.7× 1.2k 1.1× 1.0k 1.2× 511 11.1k
Li Li China 57 8.9k 1.0× 2.8k 0.4× 1.6k 1.2× 1.9k 1.7× 1.1k 1.2× 493 13.6k
Lu Zhang China 47 6.0k 0.7× 2.8k 0.4× 898 0.7× 1.2k 1.1× 647 0.7× 383 9.5k
Yongzhan Nie China 66 9.2k 1.0× 4.6k 0.6× 1.3k 1.0× 2.3k 2.0× 1.6k 1.7× 306 14.1k
Li Wang China 61 9.5k 1.1× 5.0k 0.7× 1.3k 1.0× 2.2k 2.0× 1.2k 1.3× 717 15.3k
Ke Zen China 78 12.6k 1.4× 10.1k 1.4× 3.5k 2.5× 1.3k 1.2× 1.5k 1.7× 254 19.3k
Qi Wang China 52 6.0k 0.7× 3.4k 0.5× 2.5k 1.8× 2.1k 1.8× 902 1.0× 540 12.0k

Countries citing papers authored by Soudeh Ghafouri‐Fard

Since Specialization
Citations

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

Fields of papers citing papers by Soudeh Ghafouri‐Fard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soudeh Ghafouri‐Fard. 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 Soudeh Ghafouri‐Fard. The network helps show where Soudeh Ghafouri‐Fard may publish in the future.

Co-authorship network of co-authors of Soudeh Ghafouri‐Fard

This figure shows the co-authorship network connecting the top 25 collaborators of Soudeh Ghafouri‐Fard. A scholar is included among the top collaborators of Soudeh Ghafouri‐Fard 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 Soudeh Ghafouri‐Fard. Soudeh Ghafouri‐Fard 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.
Gharesouran, Jalal, et al.. (2025). Compound heterozygous mutations in ADSL gene in a patient with autism spectrum disorder and epilepsy. Gene Reports. 38. 102132–102132. 1 indexed citations
3.
Jamali, Elena, et al.. (2024). Impact of GRM7 gene variations on glioblastoma risk in the Iranian population. Molecular and Cellular Probes. 78. 101996–101996.
4.
Raftar, Shahrbanoo Keshavarz Azizi, et al.. (2024). Association Between RORA Polymorphisms and Obesity. Biochemical Genetics. 63(2). 1448–1458. 2 indexed citations
5.
Asadi, Mohammad Reza, et al.. (2024). Clinical, molecular, physiologic, and therapeutic feature of patients with CHRNA4 and CHRNB2 deficiency: A systematic review. Journal of Neurochemistry. 169(1). e16200–e16200. 1 indexed citations
6.
Hussen, Bashdar Mahmud, et al.. (2023). Expression analysis of Rho GTPase-related lncRNAs in breast cancer. Pathology - Research and Practice. 244. 154429–154429. 6 indexed citations
7.
Sadoughi, Mohammad Mehdi, et al.. (2023). The impact of non-coding RNAs in the pathobiology of eye disorders. International Journal of Biological Macromolecules. 239. 124245–124245. 6 indexed citations
8.
Ghafouri‐Fard, Soudeh, et al.. (2023). A review on the importance of LINC-ROR in human disorders. Pathology - Research and Practice. 244. 154420–154420. 6 indexed citations
9.
Taheri, Mohammad, et al.. (2023). A review on the role of NCK1 Antisense RNA 1 (NCK1-AS1) in diverse disorders. Pathology - Research and Practice. 245. 154451–154451. 1 indexed citations
10.
Hantoushzadeh, Sedigheh, et al.. (2023). Impact of COVID-19 and vaccination on first and second trimester screening results. Cytokine. 168. 156228–156228.
11.
Khayamzadeh, Maryam, Vahid Niazi, Bashdar Mahmud Hussen, et al.. (2022). Emerging role of extracellular vesicles in the pathogenesis of glioblastoma. Metabolic Brain Disease. 38(1). 177–184. 10 indexed citations
12.
Ghafouri‐Fard, Soudeh, Atefe Abak, Hamed Shoorei, et al.. (2021). Role of Long Non-Coding RNAs in Conferring Resistance in Tumors of the Nervous System. Frontiers in Oncology. 11. 670917–670917. 13 indexed citations
13.
Omrani, Mir Davood, Hossein Mohammad‐Rahimi, Abbas Basiri, et al.. (2021). Discrimination of Patients with Prostate Cancer from Healthy Persons Using a Set of Single Nucleotide Polymorphisms.. Homo Politicus (Academy of Humanities and Economics in Lodz). 18(6). 639–645. 3 indexed citations
14.
Ghafouri‐Fard, Soudeh, Mohammadhosein Esmaeili, Mohammad Taheri, & Majid Samsami. (2020). Highly upregulated in liver cancer (HULC): An update on its role in carcinogenesis. Journal of Cellular Physiology. 235(12). 9071–9079. 28 indexed citations
15.
Sayad, Arezou, et al.. (2020). Association Analysis Between the rs1899663 Polymorphism of HOTAIR and Risk of Psychiatric Conditions in an Iranian Population. Journal of Molecular Neuroscience. 70(6). 953–958. 15 indexed citations
16.
Hussen, Bashdar Mahmud, et al.. (2020). Opposite trends of GAS6 and GAS6-AS expressions in breast cancer tissues. Experimental and Molecular Pathology. 118. 104600–104600. 3 indexed citations
17.
Taheri, Mohammad, et al.. (2019). Long noncoding RNAs expression in gastric cancer. Journal of Cellular Biochemistry. 120(8). 13802–13809. 14 indexed citations
18.
Ghafouri‐Fard, Soudeh, et al.. (2019). Associations Between Two Single-Nucleotide Polymorphisms in NINJ2 Gene and Risk of Psychiatric Disorders. Journal of Molecular Neuroscience. 70(2). 236–245. 5 indexed citations
19.
Oskooei, Vahid Kholghi & Soudeh Ghafouri‐Fard. (2018). Are long non-coding RNAs involved in the interaction circuit between estrogen receptor and vitamin D receptor?. Meta Gene. 19. 1–9. 4 indexed citations
20.
Ghafouri‐Fard, Soudeh, et al.. (2017). Comparative evaluation of probiotics effects on plasma glucose, lipid, and insulin levels in streptozotocin‐induced diabetic rats. Diabetes/Metabolism Research and Reviews. 33(7). 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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