Articles published in Journal of Stem Cell Research & Therapy have been cited by esteemed scholars and scientists all around the world. Journal of Stem Cell Research & Therapy has got h-index 33, which means every article in Journal of Stem Cell Research & Therapy has got 33 average citations.

Following are the list of articles that have cited the articles published in Journal of Stem Cell Research & Therapy.

  2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011

Total published articles

22 58 59 65 23 13 36 34 49 63 101 62 44 26

Research, Review articles and Editorials

2 4 1 2 12 12 29 28 44 56 80 48 12 19

Research communications, Review communications, Editorial communications, Case reports and Commentary

20 54 58 63 11 1 7 6 5 7 21 14 32 6

Conference proceedings

0 40 12 37 0 0 145 138 95 63 154 72 54 0

Citations received as per Google Scholar, other indexing platforms and portals

522 678 761 838 697 626 613 599 538 478 262 142 31 69
Journal total citations count 6793
Journal impact factor 1.64
Journal 5 years impact factor 1.70
Journal cite score 11.56
Journal h-index 33
Important citations

Ostrovidov S, Shi X, Sadeghian RB, Salehi S, Fujie T, et al. (2015) Stem cell differentiation toward the myogenic lineage for muscle tissue regeneration: a focus on muscular dystrophy. Stem Cell Reviews and Reports 11: 866-884.

Ostrovidov S, Hosseini V, Ahadian S, Fujie T, Parthiban SP, et al. (2014) Skeletal muscle tissue engineering: methods to form skeletal myotubes and their applications. Tissue Engineering Part B: Reviews. 20: 403-436.

Farkas I. ÁtfedÅ‘ modulok molekuláris biológiai kölcsönhatási hálózatokban (Doctoral dissertation, MTA-ELTE Statisztikus és Biológiai Fizika Kutatócsoport).

Pelosi G, Scarpa A, Forest F, Sonzogni A (2016) The impact of immunohistochemistry on the classification of lung tumors. Expert Review of Respiratory Medicine 10: 1105-1121.

McDonald AC. Sox17 Regulates Dynamic Gene Regulatory Networks to Specify Cell Fates in Pluripotent Stem Cells (Doctoral dissertation, University of Toronto).

Long Y. Transcription factor movement and tissue patterning in Arabidopsis root meristem (Doctoral dissertation, Utrecht University).

Kurmyshkina OV, Belova LL, Kovchur PI, Volkova TO (2016) Remodeling of angiogenesis and lymphangiogenesis in cervical cancer development. Biochemistry (Moscow) Supplement Series B. Biomedical Chemistry 10:191-211.

Bourdon-Lacombe JA, Moffat ID, Deveau M, Husain M, Auerbach S, et al. (2015) Technical guide for applications of gene expression profiling in human. mental 2: 9.

Kondratyeva LG, Vinogradova TV, Chernov IP, Sverdlov ED (2015) Master transcription regulators specifying cell-lineage fates in development as possible therapeutic targets in oncology. Russian Journal of Genetics 51:1049-1059.

Caxaria SM. Induced pluripotent stem cells (iPSCs) for research and therapy: induction of hepatic differentiation in iPSCs and evaluation of their quality as a model of in vivo development in the context of coagulation (Doctoral dissertation, UCL (University College London)).

Tarrés i Freixas F, Ibáñez de Sans ME. Shortcut across cells' fate.

Koestler SA, Alaybeyoglu B, Weichenberger CX, Celik A (2015)  FlyOde-a platform for community curation and interactive visualization of dynamic gene regulatory networks in Drosophila eye development. F1000Research 4.

Davis TL, Rebay I (2016) Master regulators in development: views from the Drosophila retinal determination and mammalian pluripotency gene networks. Developmental Biology. 

Nazarieh M, Wiese A, Will T, Hamed M, Helms V (2016) Identification of key player genes in gene regulatory networks. BMC Systems Biology. 10: 88.

Geistlinger L. Network-based analysis of gene expression data (Doctoral dissertation, lmu).

Sikdar S, Datta S (2017) A novel statistical approach for identification of the master regulator transcription factor. BMC bioinformatics 18: 79.

Salas EN, Shu J, Cserhati MF, Weeks DP, Ladunga I (2016) Pluralistic and stochastic gene regulation: examples, models and consistent theory. Nucleic acids research gkw042.

Chiang YT. Identification of metastasis-driving genes as potential therapeutic targets/biomarkers for metastatic prostate cancer (Doctoral dissertation, University of British Columbia).

Zhong J. Computational Inference of Genome-Wide Protein-DNA Interactions Using High-Throughput Genomic Data (Doctoral dissertation, Duke University).

Li W, Espinal-Enríquez J, Simpfendorfer KR, Hernández-Lemus E (2015) A survey of disease connections for CD4+ T cell master genes and their directly linked genes. Computational biology and chemistry 59: 78-90.