Michael J. Spinella

3.5k total citations
74 papers, 2.6k citations indexed

About

Michael J. Spinella is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Michael J. Spinella has authored 74 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 17 papers in Surgery and 17 papers in Oncology. Recurrent topics in Michael J. Spinella's work include Epigenetics and DNA Methylation (17 papers), Testicular diseases and treatments (16 papers) and Retinoids in leukemia and cellular processes (14 papers). Michael J. Spinella is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Testicular diseases and treatments (16 papers) and Retinoids in leukemia and cellular processes (14 papers). Michael J. Spinella collaborates with scholars based in United States, United Kingdom and South Korea. Michael J. Spinella's co-authors include Sarah J. Freemantle, Ethan Dmitrovsky, Kevin E. Brigle, I. David Goldman, Esteban E. Sierra, Ratnakar Singh, David Sekula, Zeeshan Fazal, Joanna S. Kerley-Hamilton and James DiRenzo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael J. Spinella

71 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Spinella United States 30 1.7k 496 432 346 299 74 2.6k
Ming Fu China 34 1.5k 0.9× 376 0.8× 658 1.5× 214 0.6× 382 1.3× 112 3.2k
Qiwei Yang United States 37 1.3k 0.8× 302 0.6× 255 0.6× 205 0.6× 236 0.8× 117 3.1k
Alan O. Perantoni United States 38 2.8k 1.7× 573 1.2× 375 0.9× 620 1.8× 64 0.2× 91 4.0k
Jean H.M. Feyen United States 34 1.9k 1.2× 1.1k 2.2× 196 0.5× 343 1.0× 303 1.0× 77 3.3k
Ingrid Øra Sweden 28 1.5k 0.9× 537 1.1× 154 0.4× 211 0.6× 74 0.2× 81 2.6k
Susannah Waxman United States 33 2.9k 1.7× 501 1.0× 101 0.2× 621 1.8× 205 0.7× 97 4.0k
Yohei Tominaga Japan 29 2.2k 1.4× 721 1.5× 359 0.8× 633 1.8× 83 0.3× 83 3.6k
Nancy Kerkvliet United States 18 983 0.6× 1.4k 2.8× 186 0.4× 154 0.4× 302 1.0× 30 2.9k
Mohamed Mokhtar Desouki United States 30 1.1k 0.7× 476 1.0× 307 0.7× 113 0.3× 50 0.2× 87 2.8k

Countries citing papers authored by Michael J. Spinella

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Spinella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Spinella. 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 Michael J. Spinella. The network helps show where Michael J. Spinella may publish in the future.

Co-authorship network of co-authors of Michael J. Spinella

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Spinella. A scholar is included among the top collaborators of Michael J. Spinella 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 Michael J. Spinella. Michael J. Spinella 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.
Park, Chan Jin, et al.. (2025). A Dynamic Shift in Estrogen Receptor Expression During Granulosa Cell Differentiation in the Ovary. Endocrinology. 166(2). 1 indexed citations
2.
Fazal, Zeeshan, Sarah J. Freemantle, Michael R. La Frano, et al.. (2024). Perfluorooctanesulfonic Acid Alters Pro-Cancer Phenotypes and Metabolic and Transcriptional Signatures in Testicular Germ Cell Tumors. Toxics. 12(4). 232–232. 9 indexed citations
3.
Zuo, Qianying, Ratnakar Singh, Michael J. Spinella, et al.. (2021). Per- and Polyfluoroalkyl Substance Exposure Combined with High-Fat Diet Supports Prostate Cancer Progression. Nutrients. 13(11). 3902–3902. 34 indexed citations
4.
Fazal, Zeeshan, Ratnakar Singh, Fang Fang, et al.. (2020). Hypermethylation and global remodelling of DNA methylation is associated with acquired cisplatin resistance in testicular germ cell tumours. Epigenetics. 16(10). 1071–1084. 30 indexed citations
5.
6.
Yim, Christina Y., et al.. (2017). G0S2 represses PI3K/mTOR signaling and increases sensitivity to PI3K/mTOR pathway inhibitors in breast cancer. Cell Cycle. 16(21). 2146–2155. 16 indexed citations
7.
Yim, Christina Y., David Sekula, Xi Liu, et al.. (2016). G0S2 Suppresses Oncogenic Transformation by Repressing a MYC-Regulated Transcriptional Program. Cancer Research. 76(5). 1204–1213. 43 indexed citations
8.
Spinella, Michael J., et al.. (2016). Epigenetic Targeting of Platinum Resistant Testicular Cancer. Current Cancer Drug Targets. 16(9). 789–795. 12 indexed citations
9.
Mao, Pingping, Gilbert J. Rahme, Eric C. Yang, et al.. (2013). Serine/Threonine Kinase 17A Is a Novel Candidate for Therapeutic Targeting in Glioblastoma. PLoS ONE. 8(11). e81803–e81803. 26 indexed citations
10.
Freemantle, Sarah J., et al.. (2009). High DNA Methyltransferase 3B Expression Mediates 5-Aza-Deoxycytidine Hypersensitivity in Testicular Germ Cell Tumors. Cancer Research. 69(24). 9360–9366. 88 indexed citations
11.
Schwarz, Elisabeth, Katherine Ewings, Thomas Bee, et al.. (2009). Wnt pathway reprogramming during human embryonal carcinoma differentiation and potential for therapeutic targeting. BMC Cancer. 9(1). 383–383. 26 indexed citations
12.
Kerley-Hamilton, Joanna S., et al.. (2005). A p53-dominant transcriptional response to cisplatin in testicular germ cell tumor-derived human embyronal carcinoma. Oncogene. 24(40). 6090–6100. 81 indexed citations
13.
Yore, Mark M., et al.. (2005). Limiting Effects of RIP140 in Estrogen Signaling. Journal of Biological Chemistry. 280(9). 7829–7835. 25 indexed citations
14.
15.
Kitareewan, Sutisak, Michael J. Spinella, Janet Allopenna, Peter R. Reczek, & Ethan Dmitrovsky. (1999). 4HPR triggers apoptosis but not differentiation in retinoid sensitive and resistant human embryonal carcinoma cells through an RARγ independent pathway. Oncogene. 18(42). 5747–5755. 41 indexed citations
16.
Baselga, José, Victor E. Reuter, Begoña Mellado, et al.. (1998). FGF4 dissociates anti-tumorigenic from differentiation signals of retinoic acid in human embryonal carcinomas. Oncogene. 17(6). 761–767. 26 indexed citations
17.
Sierra, Esteban E., Kevin E. Brigle, Michael J. Spinella, & I. David Goldman. (1995). Comparison of transport properties of the reduced folate carrier and folate receptor in murine L1210 leukemia cells. Biochemical Pharmacology. 50(8). 1287–1294. 30 indexed citations
18.
Spinella, Michael J., Kevin E. Brigle, Esteban E. Sierra, & I. David Goldman. (1995). Distinguishing between Folate Receptor-α-mediated Transport and Reduced Folate Carrier-mediated Transport in L1210 Leukemia Cells. Journal of Biological Chemistry. 270(14). 7842–7849. 107 indexed citations
19.
Brigle, Kevin E., Michael J. Spinella, Eric H. Westin, & I. David Goldman. (1994). Increased expression and characterization of two distinct folate binding proteins in murine erythroleukemia cells. Biochemical Pharmacology. 47(2). 337–345. 65 indexed citations
20.
Spinella, Michael J., et al.. (1993). Endothelin‐receptor interactions. FEBS Letters. 328(1-2). 82–88. 5 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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