Mehmet E. Yalvaç

1.8k total citations
48 papers, 1.4k citations indexed

About

Mehmet E. Yalvaç is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Mehmet E. Yalvaç has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 18 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Mehmet E. Yalvaç's work include Mesenchymal stem cell research (17 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Hereditary Neurological Disorders (5 papers). Mehmet E. Yalvaç is often cited by papers focused on Mesenchymal stem cell research (17 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Hereditary Neurological Disorders (5 papers). Mehmet E. Yalvaç collaborates with scholars based in Türkiye, United States and Russia. Mehmet E. Yalvaç's co-authors include Fikrettin Şahιn, Albert A. Rizvanov, András Palotás, Pakize Neslihan Taşlı, Ömer Faruk Bayrak, Lokman Alpsoy, Zarife Sahenk, Gündüz Bayırlı, Mehmet Baybora Kayahan and Syed-Rehan A. Hussain and has published in prestigious journals such as Neurology, Journal of neurosurgery and eLife.

In The Last Decade

Mehmet E. Yalvaç

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mehmet E. Yalvaç Türkiye 23 528 354 270 212 142 48 1.4k
Hyung-Jun Choi South Korea 17 509 1.0× 452 1.3× 435 1.6× 271 1.3× 94 0.7× 117 1.5k
Jinlong Chen China 21 702 1.3× 173 0.5× 180 0.7× 235 1.1× 86 0.6× 68 1.7k
Andy M. Scutt United Kingdom 16 511 1.0× 568 1.6× 186 0.7× 414 2.0× 193 1.4× 22 1.8k
Soo‐Kyung Kang South Korea 23 808 1.5× 661 1.9× 113 0.4× 264 1.2× 147 1.0× 54 1.8k
Laura Bertoni Italy 23 396 0.8× 315 0.9× 56 0.2× 304 1.4× 105 0.7× 70 1.5k
Yoshiko Masuda Japan 18 685 1.3× 133 0.4× 130 0.5× 196 0.9× 103 0.7× 64 1.5k
Xue Yuan United States 27 939 1.8× 166 0.5× 242 0.9× 225 1.1× 31 0.2× 65 2.0k
Tarou Irié Japan 20 498 0.9× 76 0.2× 196 0.7× 133 0.6× 49 0.3× 52 1.3k
Katsuhiro Takeda Japan 27 465 0.9× 452 1.3× 136 0.5× 228 1.1× 260 1.8× 77 1.6k
Monia Orciani Italy 27 567 1.1× 565 1.6× 55 0.2× 376 1.8× 99 0.7× 85 1.9k

Countries citing papers authored by Mehmet E. Yalvaç

Since Specialization
Citations

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

Fields of papers citing papers by Mehmet E. Yalvaç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mehmet E. Yalvaç. 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 Mehmet E. Yalvaç. The network helps show where Mehmet E. Yalvaç may publish in the future.

Co-authorship network of co-authors of Mehmet E. Yalvaç

This figure shows the co-authorship network connecting the top 25 collaborators of Mehmet E. Yalvaç. A scholar is included among the top collaborators of Mehmet E. Yalvaç 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 Mehmet E. Yalvaç. Mehmet E. Yalvaç 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.
Sahenk, Zarife, Burçak Özeş, Darren Murrey, et al.. (2021). Systemic delivery of AAVrh74.tMCK.hCAPN3 rescues the phenotype in a mouse model for LGMD2A/R1. Molecular Therapy — Methods & Clinical Development. 22. 401–414. 10 indexed citations
2.
Rich, Kelly, Sarah Heintzman, Mehmet E. Yalvaç, et al.. (2021). Neurofilament Levels in CSF and Serum in an Adult SMA Cohort treated with Nusinersen (4544). Neurology. 96(15_supplement). 2 indexed citations
3.
Hussain, Syed-Rehan A., et al.. (2021). Adapting CRISPR/Cas9 System for Targeting Mitochondrial Genome. Frontiers in Genetics. 12. 627050–627050. 74 indexed citations
4.
Kopp, Florian, Mahmoud Elguindy, Mehmet E. Yalvaç, et al.. (2019). PUMILIO hyperactivity drives premature aging of Norad-deficient mice. eLife. 8. 70 indexed citations
5.
Sahenk, Zarife, Mehmet E. Yalvaç, W. David Arnold, et al.. (2018). Efficacy of exogenous pyruvate in TremblerJ mouse model of Charcot‐Marie‐Tooth neuropathy. Brain and Behavior. 8(10). e01118–e01118. 12 indexed citations
6.
Mendell, Jerry R., Zarife Sahenk, Samiah Al-Zaidy, et al.. (2017). Follistatin Gene Therapy for Sporadic Inclusion Body Myositis Improves Functional Outcomes. Molecular Therapy. 25(4). 870–879. 80 indexed citations
7.
Aydın, Safa, et al.. (2016). Pluronic PF68 increases transfection efficiency in electroporationof mesenchymal stem cells. TURKISH JOURNAL OF BIOLOGY. 40. 747–754. 4 indexed citations
8.
Yalvaç, Mehmet E., et al.. (2016). Tooth replantation with adipose tissue stem cells and fibrin sealant: microscopic analysis of rat’s teeth. SpringerPlus. 5(1). 656–656. 9 indexed citations
9.
Solovyeva, Valeriya V., Nataliya L. Blatt, Daria Guseva, et al.. (2015). Expression of pluripotency transcription factors in human third molar tooth germ derived multipotent mesenchymal stromal cells transfected by plasmid pBud-Sox2-Oct4. Genes and Cells. 10(2). 65–70. 1 indexed citations
10.
Yalvaç, Mehmet E., et al.. (2015). AAV1.NT-3 gene therapy attenuates spontaneous autoimmune peripheral polyneuropathy. Gene Therapy. 23(1). 95–102. 21 indexed citations
11.
Taşlı, Pakize Neslihan, et al.. (2013). Effect of F68, F127, and P85 Pluronic Block Copolymers on Odontogenic Differentiation of Human Tooth Germ Stem Cells. Journal of Endodontics. 39(10). 1265–1271. 19 indexed citations
12.
Yalvaç, Mehmet E., et al.. (2013). Characterization of the secretome of human tooth germ stem cells (hTGSCs) reveals neuro-protection by fine-tuning micro-environment. Brain Behavior and Immunity. 32. 122–130. 27 indexed citations
13.
Doğan, Ayşegül, et al.. (2013). Effect of F68 on Cryopreservation of Mesenchymal Stem Cells Derived from Human Tooth Germ. Applied Biochemistry and Biotechnology. 171(7). 1819–1831. 23 indexed citations
14.
Palotás, András, et al.. (2012). Differentiation of human stem cells is promoted by amphiphilic pluronic block copolymers. International Journal of Nanomedicine. 7. 4849–4849. 52 indexed citations
15.
Doğan, Ayşegül, Mehmet E. Yalvaç, Albert A. Rizvanov, & Fikrettin Şahιn. (2012). Effect of F68 on cryopreservation of mesenchymal stem cells derived from human tooth germ. New Biotechnology. 29. S16–S16. 1 indexed citations
16.
Alpsoy, Lokman & Mehmet E. Yalvaç. (2011). Key Roles of Vitamins A, C, and E in Aflatoxin B1-Induced Oxidative Stress. Vitamins and hormones. 86. 287–305. 57 indexed citations
17.
Yalvaç, Mehmet E., Murat Tekgüç, Ömer Faruk Bayrak, et al.. (2010). Human Tooth Germ Stem Cells Preserve Neuro-Protective Effects after Long-Term Cryo-Preservation. Current Neurovascular Research. 7(1). 49–58. 43 indexed citations
18.
Rizvanov, Albert A., Mehmet E. Yalvaç, А. К. Шафигуллина, et al.. (2010). Interaction and self-organization of human mesenchymal stem cells and neuro-blastoma SH-SY5Y cells under co-culture conditions: A novel system for modeling cancer cell micro-environment. European Journal of Pharmaceutics and Biopharmaceutics. 76(2). 253–259. 19 indexed citations
19.
Салафутдинов, И. И., А. К. Шафигуллина, Maria A. Lagarkova, et al.. (2010). Effect of simultaneous expression of various usoforms of vascular endothelial growth factor VEGF and fibroblast growth factor FGF2 on proliferation of human umbilical cord blood cells HUVEC. Genes and Cells. 5(2). 62–67. 2 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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