Thomas Masi

960 total citations
30 papers, 760 citations indexed

About

Thomas Masi is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Thomas Masi has authored 30 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Biomedical Engineering and 6 papers in Genetics. Recurrent topics in Thomas Masi's work include Graphene and Nanomaterials Applications (6 papers), Developmental Biology and Gene Regulation (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Thomas Masi is often cited by papers focused on Graphene and Nanomaterials Applications (6 papers), Developmental Biology and Gene Regulation (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Thomas Masi collaborates with scholars based in United States, United Kingdom and Yemen. Thomas Masi's co-authors include Andrew D. Johnson, Rosemary F. Bachvarova, Tim E. Sparer, Maria Cekanova, Mary E. White, Brian I. Crother, Michael D. Karlstad, Hildegard M. Schuller, Danhong Lu and J. Jason Collier and has published in prestigious journals such as The Journal of Immunology, Cancer and Journal of Virology.

In The Last Decade

Thomas Masi

29 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Masi United States 15 407 222 94 91 85 30 760
Barry Lubarsky United States 5 639 1.6× 73 0.3× 96 1.0× 65 0.7× 50 0.6× 8 1.4k
Shayne C. Barlow United States 16 242 0.6× 97 0.4× 141 1.5× 34 0.4× 96 1.1× 32 746
Valéria Valente Brazil 17 651 1.6× 127 0.6× 43 0.5× 44 0.5× 90 1.1× 35 977
Marc Thiry Belgium 17 707 1.7× 169 0.8× 74 0.8× 24 0.3× 212 2.5× 32 1.2k
Daniel Trcka Canada 10 350 0.9× 119 0.5× 61 0.6× 80 0.9× 179 2.1× 11 659
Heidi Anderson United States 15 373 0.9× 266 1.2× 56 0.6× 24 0.3× 60 0.7× 41 777
Ashley Wilson United States 17 330 0.8× 288 1.3× 123 1.3× 73 0.8× 260 3.1× 54 820
Ninette Cohen United States 15 352 0.9× 229 1.0× 30 0.3× 16 0.2× 55 0.6× 29 691
Jumpei Enami Japan 18 464 1.1× 349 1.6× 101 1.1× 97 1.1× 325 3.8× 41 1.2k
Anna Sahakyan United States 13 1.2k 2.9× 308 1.4× 64 0.7× 118 1.3× 65 0.8× 14 1.4k

Countries citing papers authored by Thomas Masi

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Masi

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Masi. A scholar is included among the top collaborators of Thomas Masi 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 Thomas Masi. Thomas Masi 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.
Stephenson, Stacy M., et al.. (2025). 3D-Printed Poly (Lactic-Co-Glycolic Acid) and Graphene Oxide Nerve Guidance Conduit with Mesenchymal Stem Cells for Effective Axon Regeneration in a Rat Sciatic Nerve Defect Model. International Journal of Nanomedicine. Volume 20. 3201–3217. 1 indexed citations
2.
Adebesin, Adeniyi Michael, John R. Falck, Xinyun Xu, et al.. (2024). Effects of 17,18-EEQ analog (TZ-1) on brown adipogenesis and browning of human adipose-derived stromal cells. Biochemical and Biophysical Research Communications. 734. 150660–150660. 1 indexed citations
3.
Steiner, Richard C., Thomas Masi, Dustin L. Crouch, et al.. (2024). Electrospun PCL Nerve Wrap Coated with Graphene Oxide Supports Axonal Growth in a Rat Sciatic Nerve Injury Model. Pharmaceutics. 16(10). 1254–1254. 3 indexed citations
4.
King, William J., et al.. (2021). Genetic profiling of human bone marrow and adipose tissue-derived mesenchymal stem cells reveals differences in osteogenic signaling mediated by graphene. Journal of Nanobiotechnology. 19(1). 285–285. 14 indexed citations
6.
Masi, Thomas, William J. King, Stacy M. Stephenson, et al.. (2020). <p>Functionalized Graphene Nanoparticles Induce Human Mesenchymal Stem Cells to Express Distinct Extracellular Matrix Proteins Mediating Osteogenesis</p>. International Journal of Nanomedicine. Volume 15. 2501–2513. 40 indexed citations
7.
Dhar, Madhu, et al.. (2016). Expansion, characterization, differentiation, and visualization of MC 3T3-E1 preosteoblast cells: an in vitro model to study bone healing and stem cell-mediated regeneration. 1 indexed citations
8.
Masi, Thomas, et al.. (2010). Screening for Novel Constitutively Active CXCR2 Mutants and Their Cellular Effects. Methods in enzymology on CD-ROM/Methods in enzymology. 485. 481–497. 4 indexed citations
9.
Al-Wadei, Hussein A.N., Mohammed H. Al-Wadei, Thomas Masi, & Hildegard M. Schuller. (2009). Chronic exposure to estrogen and the tobacco carcinogen NNK cooperatively modulates nicotinic receptors in small airway epithelial cells. Lung Cancer. 69(1). 33–39. 36 indexed citations
11.
Cekanova, Maria, Thomas Masi, Howard K. Plummer, et al.. (2006). Pulmonary fibroblasts stimulate the proliferation of cell lines from human lung adenocarcinomas. Anti-Cancer Drugs. 17(7). 771–781. 17 indexed citations
13.
Bachvarova, Rosemary F., et al.. (2004). Gene expression in the axolotl germ line: Axdazl, Axvh, Axoct‐4, and Axkit. Developmental Dynamics. 231(4). 871–880. 47 indexed citations
14.
Masi, Thomas & Andrew D. Johnson. (2003). Read-through histone transcripts containing 3′ adenylate tails are zygotically expressed in Xenopus embryos and undergo processing to mature transcripts when introduced into oocyte nuclei. Biochemical and Biophysical Research Communications. 304(4). 612–618. 3 indexed citations
15.
Johnson, Andrew D., et al.. (2003). Evolution of predetermined germ cells in vertebrate embryos: implications for macroevolution. Evolution & Development. 5(4). 414–431. 80 indexed citations
16.
Johnson, Andrew D., Brian I. Crother, Mary E. White, et al.. (2003). Regulative germ cell specification in axolotl embryos: a primitive trait conserved in the mammalian lineage. Philosophical Transactions of the Royal Society B Biological Sciences. 358(1436). 1371–1379. 66 indexed citations
17.
Masi, Thomas & Andrew D. Johnson. (2001). Axbrn-1: a maternal transcript encodes a POU transcription factor that is later expressed in the developing central nervous system of axolotl embryos. Development Genes and Evolution. 211(8). 449–452. 3 indexed citations
18.
Johnson, Andrew D., et al.. (2001). Expression of Axolotl DAZL RNA, a Marker of Germ Plasm: Widespread Maternal RNA and Onset of Expression in Germ Cells Approaching the Gonad. Developmental Biology. 234(2). 402–415. 76 indexed citations
19.
Bachvarova, Rosemary F., et al.. (2001). Expression of Axwnt-8 and Axszl in the urodele, axolotl: comparison with Xenopus. Development Genes and Evolution. 211(10). 501–505. 8 indexed citations
20.
Masi, Thomas, et al.. (2000). Expression of the cardiac actin gene in axolotl embryos. The International Journal of Developmental Biology. 44(5). 479–484. 6 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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