Farah Shahjin

788 total citations · 1 hit paper
10 papers, 503 citations indexed

About

Farah Shahjin is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Farah Shahjin has authored 10 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Infectious Diseases. Recurrent topics in Farah Shahjin's work include MicroRNA in disease regulation (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Extracellular vesicles in disease (3 papers). Farah Shahjin is often cited by papers focused on MicroRNA in disease regulation (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Extracellular vesicles in disease (3 papers). Farah Shahjin collaborates with scholars based in United States, Egypt and India. Farah Shahjin's co-authors include Sowmya V. Yelamanchili, Subhash Chand, Katherine E. Odegaard, Austin Gowen, Jatin Machhi, Howard E. Gendelman, R. Lee Mosley, Gurudutt Pendyala, Mai Mohamed Abdelmoaty and Mahmudul Hasan and has published in prestigious journals such as FEMS Microbiology Reviews, Frontiers in Immunology and Acta Biomaterialia.

In The Last Decade

Farah Shahjin

10 papers receiving 497 citations

Hit Papers

Mesenchymal Stem Cell-Der... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farah Shahjin United States 9 363 168 103 55 54 10 503
Subhash Chand United States 13 434 1.2× 201 1.2× 105 1.0× 66 1.2× 60 1.1× 28 612
Austin Gowen United States 9 340 0.9× 159 0.9× 101 1.0× 35 0.6× 54 1.0× 12 483
Kan Yin China 6 272 0.7× 142 0.8× 108 1.0× 32 0.6× 47 0.9× 8 450
Leanne C. Duke United States 9 306 0.8× 139 0.8× 49 0.5× 47 0.9× 37 0.7× 10 410
Rosaria Tinnirello Italy 6 391 1.1× 210 1.3× 61 0.6× 48 0.9× 34 0.6× 11 467
Tudor Emanuel Fertig Romania 10 462 1.3× 187 1.1× 30 0.3× 49 0.9× 159 2.9× 17 666
Jiachen Peng China 10 198 0.5× 116 0.7× 65 0.6× 45 0.8× 116 2.1× 23 460
Rachael Miller United States 9 580 1.6× 301 1.8× 62 0.6× 32 0.6× 47 0.9× 15 653
Ilaria Gatto Italy 12 289 0.8× 80 0.5× 40 0.4× 24 0.4× 44 0.8× 17 461
Sergia Bortolanza Spain 11 547 1.5× 44 0.3× 73 0.7× 63 1.1× 38 0.7× 12 725

Countries citing papers authored by Farah Shahjin

Since Specialization
Citations

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

Fields of papers citing papers by Farah Shahjin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farah Shahjin

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

All Works

10 of 10 papers shown
1.
Shahjin, Farah, Milankumar Patel, Jatin Machhi, et al.. (2022). Multipolymer microsphere delivery of SARS-CoV-2 antigens. Acta Biomaterialia. 158. 493–509. 9 indexed citations
2.
Abdelmoaty, Mai Mohamed, Jatin Machhi, Pravin Yeapuri, et al.. (2022). Monocyte biomarkers define sargramostim treatment outcomes for Parkinson's disease. Clinical and Translational Medicine. 12(7). e958–e958. 15 indexed citations
3.
Patel, Milankumar, Farah Shahjin, Mahmudul Hasan, et al.. (2021). The Immunopathobiology of SARS-CoV-2 Infection. FEMS Microbiology Reviews. 45(6). 9 indexed citations
4.
Herskovitz, Jonathan, Mahmudul Hasan, Milankumar Patel, et al.. (2021). CRISPR-Cas9 Mediated Exonic Disruption for HIV-1 Elimination. EBioMedicine. 73. 103678–103678. 39 indexed citations
5.
Abdelmoaty, Mai Mohamed, Pravin Yeapuri, Jatin Machhi, et al.. (2021). Defining the Innate Immune Responses for SARS-CoV-2-Human Macrophage Interactions. Frontiers in Immunology. 12. 741502–741502. 30 indexed citations
6.
Gowen, Austin, Farah Shahjin, Subhash Chand, Katherine E. Odegaard, & Sowmya V. Yelamanchili. (2020). Mesenchymal Stem Cell-Derived Extracellular Vesicles: Challenges in Clinical Applications. Frontiers in Cell and Developmental Biology. 8. 149–149. 265 indexed citations breakdown →
7.
Shahjin, Farah, Subhash Chand, Meng Niu, et al.. (2019). Downregulation of an Evolutionary Young miR-1290 in an iPSC-Derived Neural Stem Cell Model of Autism Spectrum Disorder. Stem Cells International. 2019. 1–15. 23 indexed citations
8.
Shahjin, Farah, Subhash Chand, & Sowmya V. Yelamanchili. (2019). Extracellular Vesicles as Drug Delivery Vehicles to the Central Nervous System. Journal of Neuroimmune Pharmacology. 15(3). 443–458. 70 indexed citations
9.
Shahjin, Farah, Katherine E. Odegaard, Austin Gowen, et al.. (2019). Brain-Derived Extracellular Vesicle microRNA Signatures Associated with In Utero and Postnatal Oxycodone Exposure. Cells. 9(1). 21–21. 41 indexed citations
10.
Shahjin, Farah, Farhana Akter, Mohammad Safiqul Islam, et al.. (2017). Effect of VKORC1 and CYP2C9 polymorphisms on warfarin dose requirement in Bangladeshi population.. PubMed. 30(2). 341–346. 2 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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