Nikos Tapinos

1.8k total citations
43 papers, 1.3k citations indexed

About

Nikos Tapinos is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Nikos Tapinos has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Nikos Tapinos's work include Glioma Diagnosis and Treatment (6 papers), Cancer-related molecular mechanisms research (5 papers) and Epigenetics and DNA Methylation (5 papers). Nikos Tapinos is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Cancer-related molecular mechanisms research (5 papers) and Epigenetics and DNA Methylation (5 papers). Nikos Tapinos collaborates with scholars based in United States, Greece and Germany. Nikos Tapinos's co-authors include Anura Rambukkana, Haralampos Μ. Moutsopoulos, James L. Salzer, George Zanazzi, Makoto Ohnishi, Antigoni Triantafyllopoulou, András Fiser, Kristin M. Snyder, Tadepalli Adilakshmi and Jennifer K. Ness and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Nikos Tapinos

39 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikos Tapinos United States 20 447 266 243 203 176 43 1.3k
Dirk Mielenz Germany 26 750 1.7× 158 0.6× 702 2.9× 71 0.3× 187 1.1× 63 1.8k
Julie H. Huang United States 12 631 1.4× 121 0.5× 530 2.2× 138 0.7× 163 0.9× 15 1.8k
Tomoyuki Nishikawa Japan 17 562 1.3× 120 0.5× 221 0.9× 77 0.4× 95 0.5× 51 1.4k
Andrea Santeford United States 19 550 1.2× 81 0.3× 258 1.1× 160 0.8× 53 0.3× 35 1.5k
Ruth Huizinga Netherlands 21 335 0.7× 106 0.4× 427 1.8× 137 0.7× 220 1.3× 47 1.5k
Olivier Preynat‐Seauve Switzerland 20 655 1.5× 135 0.5× 335 1.4× 48 0.2× 102 0.6× 46 1.4k
Tristan R. McKay United Kingdom 25 1.1k 2.5× 218 0.8× 132 0.5× 86 0.4× 68 0.4× 60 1.8k
Stacy Porvasnik United States 21 505 1.1× 171 0.6× 135 0.6× 45 0.2× 87 0.5× 47 1.3k
Rozen Le Panse France 33 586 1.3× 99 0.4× 590 2.4× 479 2.4× 76 0.4× 72 2.9k
Linda Desender Belgium 18 508 1.1× 101 0.4× 353 1.5× 135 0.7× 72 0.4× 25 1.4k

Countries citing papers authored by Nikos Tapinos

Since Specialization
Citations

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

Fields of papers citing papers by Nikos Tapinos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikos Tapinos

This figure shows the co-authorship network connecting the top 25 collaborators of Nikos Tapinos. A scholar is included among the top collaborators of Nikos Tapinos 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 Nikos Tapinos. Nikos Tapinos 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.
Pizzagalli, Mattia D., Owen P. Leary, Daniel J. Lee, et al.. (2025). Inhibition of HDAC7 reprograms the histone H3.3 landscape to induce heterochromatin spreading and DNA replication defects in cancer cells. Journal of Biological Chemistry. 301(10). 110732–110732. 1 indexed citations
2.
Welch, E. Celeste, et al.. (2025). Innovative Method for Fully Automated, Enzyme-Free Tissue Dissociation and Preparation for Single-Cell Analysis. Cellular and Molecular Bioengineering. 18(3-4). 251–269. 1 indexed citations
3.
4.
Leary, Owen P., Shaolei Lu, Grayson L. Baird, et al.. (2025). Large language model-based multi-source integration pipeline for automated diagnostic classification and zero-shot prognoses for brain tumor. SHILAP Revista de lepidopterología. 3(2). 100150–100150.
5.
Leary, Owen P., Mattia D. Pizzagalli, Steven A. Toms, et al.. (2024). Tumor-Associated Tractography Derived from High-Angular-Resolution Q-Space MRI May Predict Patterns of Cellular Invasion in Glioblastoma. Cancers. 16(21). 3669–3669.
6.
Hwang, Hye‐Yeon, et al.. (2024). Role of the Egr2 Promoter Antisense RNA in Modulating the Schwann Cell Chromatin Landscape. Biomedicines. 12(11). 2594–2594.
7.
Akosman, Bedia, Jia‐Shu Chen, Suchitra Kamle, et al.. (2023). Chi3l1 Is a Modulator of Glioma Stem Cell States and a Therapeutic Target in Glioblastoma. Cancer Research. 83(12). 1984–1999. 29 indexed citations
8.
Kitajima, Shunsuke, Fengkai Li, Nagib Ahsan, et al.. (2023). The germline factor DDX4 contributes to the chemoresistance of small cell lung cancer cells. Communications Biology. 6(1). 65–65. 7 indexed citations
9.
Velloso, Fernando Janczur, Kristin M. Snyder, András Fiser, et al.. (2022). Subventricular zone adult mouse neural stem cells require insulin receptor for self-renewal. Stem Cell Reports. 17(6). 1411–1427. 4 indexed citations
10.
11.
Fajardo, J. Eduardo, Kristin M. Snyder, Oliver Y. Tang, et al.. (2021). miRNA-mediated loss of m6A increases nascent translation in glioblastoma. PLoS Genetics. 17(3). e1009086–e1009086. 25 indexed citations
12.
Snyder, Kristin M., András Fiser, Jennifer K. Ness, et al.. (2018). Regulation of human glioma cell migration, tumor growth, and stemness gene expression using a Lck targeted inhibitor. Oncogene. 38(10). 1734–1750. 57 indexed citations
13.
O’Shea, Timothy M., et al.. (2017). Regulation of Peripheral Myelination through Transcriptional Buffering of Egr2 by an Antisense Long Non-coding RNA. Cell Reports. 20(8). 1950–1963. 30 indexed citations
14.
Slotkin, Jonathan R., Jennifer K. Ness, Kristin M. Snyder, et al.. (2015). Sustained Local Release of Methylprednisolone From a Thiol-Acrylate Poly(Ethylene Glycol) Hydrogel for Treating Chronic Compressive Radicular Pain. Spine. 41(8). E441–E448. 13 indexed citations
15.
Averick, Saadyah, Eduardo Paredes, Sourav Dey, et al.. (2013). Autotransfecting Short Interfering RNA through Facile Covalent Polymer Escorts. Journal of the American Chemical Society. 135(34). 12508–12511. 43 indexed citations
16.
Ness, Jennifer K., Kristin M. Snyder, & Nikos Tapinos. (2013). Lck tyrosine kinase mediates β1-integrin signalling to regulate Schwann cell migration and myelination. Nature Communications. 4(1). 1912–1912. 28 indexed citations
17.
Adilakshmi, Tadepalli, et al.. (2012). Combinatorial Action of miRNAs Regulates Transcriptional and Post-Transcriptional Gene Silencing following in vivo PNS Injury. PLoS ONE. 7(7). e39674–e39674. 57 indexed citations
18.
Adilakshmi, Tadepalli, et al.. (2011). A Nuclear Variant of ErbB3 Receptor Tyrosine Kinase Regulates Ezrin Distribution and Schwann Cell Myelination. Journal of Neuroscience. 31(13). 5106–5119. 34 indexed citations
19.
Triantafyllopoulou, Antigoni, Nikos Tapinos, & Haralampos Μ. Moutsopoulos. (2004). Evidence for coxsackievirus infection in primary Sjögren's syndrome. Arthritis & Rheumatism. 50(9). 2897–2902. 101 indexed citations
20.
Rambukkana, Anura, George Zanazzi, Nikos Tapinos, & James L. Salzer. (2002). Contact-Dependent Demyelination by Mycobacterium leprae in the Absence of Immune Cells. Science. 296(5569). 927–931. 141 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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