Ali Farrokhi

2.2k total citations · 1 hit paper
44 papers, 1.7k citations indexed

About

Ali Farrokhi is a scholar working on Molecular Biology, Surgery and Artificial Intelligence. According to data from OpenAlex, Ali Farrokhi has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Surgery and 7 papers in Artificial Intelligence. Recurrent topics in Ali Farrokhi's work include Pluripotent Stem Cells Research (12 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Pancreatic function and diabetes (6 papers). Ali Farrokhi is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Pancreatic function and diabetes (6 papers). Ali Farrokhi collaborates with scholars based in Iran, Canada and United States. Ali Farrokhi's co-authors include Hossein Baharvand, Aziz Ghahary, Mohammadreza Pakyari, Mohsen Khosravi‐Maharlooei, S Kazemi Ashtiani, Seyed Mahmoud Hashemi, Mansour Sheikhan, Zahra Jadidi, Poopak Eftekhari‐Yazdi and Reza B. Jalili and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of Bacteriology.

In The Last Decade

Ali Farrokhi

43 papers receiving 1.7k citations

Hit Papers

Critical Role of Transforming Growth Factor Beta in Diffe... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Farrokhi Iran 19 705 407 337 308 176 44 1.7k
Zhuqing Li China 28 753 1.1× 159 0.4× 191 0.6× 247 0.8× 177 1.0× 118 2.7k
Yunchuan Wang China 28 1.0k 1.5× 281 0.7× 196 0.6× 523 1.7× 218 1.2× 83 2.5k
Jinlin Song China 28 870 1.2× 280 0.7× 703 2.1× 223 0.7× 346 2.0× 129 2.7k
Gust Verbruggen Belgium 39 553 0.8× 1.9k 4.6× 315 0.9× 49 0.2× 269 1.5× 149 4.9k
Yijie Zhang China 31 1.5k 2.2× 401 1.0× 374 1.1× 336 1.1× 278 1.6× 120 3.5k
Liren Wang China 25 932 1.3× 219 0.5× 158 0.5× 23 0.1× 115 0.7× 69 1.9k
Shihua Wang China 20 1.2k 1.8× 139 0.3× 157 0.5× 121 0.4× 90 0.5× 87 2.2k
Qiuxia Lin China 23 355 0.5× 647 1.6× 423 1.3× 30 0.1× 578 3.3× 53 1.9k
Tengfei Liu China 30 1.2k 1.8× 124 0.3× 436 1.3× 79 0.3× 102 0.6× 125 2.7k
Hideki Nakamura Japan 35 931 1.3× 208 0.5× 63 0.2× 129 0.4× 137 0.8× 158 4.0k

Countries citing papers authored by Ali Farrokhi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Farrokhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Farrokhi

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Farrokhi. A scholar is included among the top collaborators of Ali Farrokhi 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 Ali Farrokhi. Ali Farrokhi 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.
Farrokhi, Ali, Sumin Jo, Franziska Auer, et al.. (2024). The Eμ-Ret mouse is a novel model of hyperdiploid B-cell acute lymphoblastic leukemia. Leukemia. 38(5). 969–980. 2 indexed citations
2.
Farrokhi, Ali, Maryam Aletaha, Ana Márquez, et al.. (2024). Early-life infection depletes preleukemic cells in a mouse model of hyperdiploid B-cell acute lymphoblastic leukemia. Blood. 144(8). 809–821.
3.
Farrokhi, Ali, et al.. (2023). Age and ligand specificity influence the outcome of pathogen engagement on preleukemic and leukemic B-cell precursor populations. Blood Advances. 7(22). 7087–7099. 1 indexed citations
4.
Farrokhi, Ali, et al.. (2023). Language recognition by convolutional neural networks. Scientia Iranica. 30(1). 116–123. 4 indexed citations
5.
Farrokhi, Ali, Mohammadreza Pakyari, Layla Nabai, et al.. (2018). Evaluation of Detergent-Free and Detergent-Based Methods for Decellularization of Murine Skin. Tissue Engineering Part A. 24(11-12). 955–967. 27 indexed citations
7.
Tahamtani, Yaser, Mahnaz Azarnia, Ali Farrokhi, et al.. (2014). Stauprimide Priming of Human Embryonic Stem Cells toward Definitive Endoderm. SHILAP Revista de lepidopterología. 4 indexed citations
8.
Pakyari, Mohammadreza, Ali Farrokhi, Mohsen Khosravi‐Maharlooei, & Aziz Ghahary. (2013). Critical Role of Transforming Growth Factor Beta in Different Phases of Wound Healing. Advances in Wound Care. 2(5). 215–224. 475 indexed citations breakdown →
9.
Curran, Terry‐Ann, Reza B. Jalili, Ali Farrokhi, & Aziz Ghahary. (2013). IDO expressing fibroblasts promote the expansion of antigen specific regulatory T cells. Immunobiology. 219(1). 17–24. 41 indexed citations
10.
Hassani, Seyedeh‐Nafiseh, Mehdi Totonchi, Ali Sharifi‐Zarchi, et al.. (2013). Inhibition of TGFβ Signaling Promotes Ground State Pluripotency. Stem Cell Reviews and Reports. 10(1). 16–30. 54 indexed citations
11.
Tahamtani, Yaser, Mahnaz Azarnia, Ali Farrokhi, et al.. (2012). Treatment of Human Embryonic Stem Cells with Different Combinations of Priming and Inducing Factors Toward Definitive Endoderm. Stem Cells and Development. 22(9). 1419–1432. 32 indexed citations
12.
Attari, Farnoosh, Abdolhossein Shahverdi, Houri Sepehri, et al.. (2012). Inhibition of glycogen synthase kinase-3 promotes efficient derivation of pluripotent stem cells from neonatal mouse testis. Human Reproduction. 27(8). 2312–2324. 9 indexed citations
13.
Farrokhi, Ali, et al.. (2011). The apoptotic and cytotoxic effects of Polygonum avicular extract on Hela-S cervical cancer cell line. African Journal of Biochemistry Research. 5(14). 373–378. 12 indexed citations
14.
15.
Farrokhi, Ali, et al.. (2010). Automatic detection of epileptic spike using fuzzy ARTMAP neural network. International Conference on Signal Processing. 64–66. 1 indexed citations
16.
Farrokhi, Ali, et al.. (2010). Application of Fuzzy ARTMAP Neural Networks for Epileptic spike detection Using Wavelet Feature Extraction. 1(1). 35–39. 1 indexed citations
17.
Farrokhi, Ali, et al.. (2009). Effect of Extracellular Matrix on Differentiation of Mouse Embryonic Stem Cells into Insulin-Producing Cells. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Ebrahimi, Bita, Mojtaba Rezazadeh Valojerdi, Poopak Eftekhari‐Yazdi, Hossein Baharvand, & Ali Farrokhi. (2009). IVM and gene expression of sheep cumulus–oocyte complexes following different methods of vitrification. Reproductive BioMedicine Online. 20(1). 26–34. 30 indexed citations
19.
Totonchi, Mehdi, Adeleh Taei, Ali Seifinejad, et al.. (2009). Feeder- and serum-free establishment and expansion of human induced pluripotent stem cells. The International Journal of Developmental Biology. 54(5). 877–886. 86 indexed citations
20.

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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