Thea D. Tlsty

27.5k total citations · 5 hit papers
109 papers, 10.6k citations indexed

About

Thea D. Tlsty is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Thea D. Tlsty has authored 109 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 54 papers in Oncology and 25 papers in Cancer Research. Recurrent topics in Thea D. Tlsty's work include Cancer-related Molecular Pathways (30 papers), Cancer Cells and Metastasis (21 papers) and Epigenetics and DNA Methylation (16 papers). Thea D. Tlsty is often cited by papers focused on Cancer-related Molecular Pathways (30 papers), Cancer Cells and Metastasis (21 papers) and Epigenetics and DNA Methylation (16 papers). Thea D. Tlsty collaborates with scholars based in United States, Canada and United Kingdom. Thea D. Tlsty's co-authors include Lisa M. Coussens, Philippe Gascard, Elizabeth Livanos, Alicia White, Laura R. Livingstone, Tyler Jacks, Patrick W. Hein, Charles R. Holst, Robert Schimke and Peter C. Brown and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Thea D. Tlsty

107 papers receiving 10.3k citations

Hit Papers

Altered cell cycle arrest and gene amplification potentia... 1992 2026 2003 2014 1992 2006 2005 2016 1999 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thea D. Tlsty United States 50 5.7k 4.9k 2.8k 1.4k 1.1k 109 10.6k
Michael A. Tainsky United States 47 7.8k 1.4× 5.2k 1.1× 2.5k 0.9× 1.9k 1.3× 1.1k 1.0× 156 12.5k
Tim Crook United Kingdom 54 6.5k 1.1× 5.2k 1.1× 2.3k 0.8× 1.2k 0.9× 1.1k 1.0× 120 11.1k
Jiřina Bártková Denmark 62 10.5k 1.8× 7.8k 1.6× 2.8k 1.0× 1.8k 1.3× 1.3k 1.2× 136 15.4k
James DeGregori United States 59 8.2k 1.4× 5.1k 1.0× 2.2k 0.8× 1.4k 1.0× 480 0.4× 172 12.0k
Klas G. Wiman Sweden 67 9.3k 1.6× 7.0k 1.4× 2.3k 0.8× 1.0k 0.7× 995 0.9× 179 14.1k
Per Guldberg Denmark 53 7.3k 1.3× 3.2k 0.7× 1.5k 0.5× 1.1k 0.7× 1.0k 0.9× 195 10.9k
Gerard P. Zambetti United States 58 10.6k 1.8× 8.0k 1.7× 3.2k 1.1× 1.2k 0.8× 851 0.8× 133 15.7k
Martha R. Stampfer United States 54 6.0k 1.1× 3.7k 0.8× 1.8k 0.6× 1.5k 1.1× 330 0.3× 132 9.4k
Peter M. Siegel Canada 53 9.0k 1.6× 7.0k 1.4× 3.6k 1.3× 821 0.6× 783 0.7× 148 14.7k
Raffaella Giavazzi Italy 57 6.2k 1.1× 4.0k 0.8× 3.4k 1.2× 616 0.4× 527 0.5× 232 11.4k

Countries citing papers authored by Thea D. Tlsty

Since Specialization
Citations

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

Fields of papers citing papers by Thea D. Tlsty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thea D. Tlsty. 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 Thea D. Tlsty. The network helps show where Thea D. Tlsty may publish in the future.

Co-authorship network of co-authors of Thea D. Tlsty

This figure shows the co-authorship network connecting the top 25 collaborators of Thea D. Tlsty. A scholar is included among the top collaborators of Thea D. Tlsty 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 Thea D. Tlsty. Thea D. Tlsty 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.
Bons, Joanna, Filipe C. Lourenço, Samah Shah, et al.. (2024). Extracellular Matrix Orchestration of Tissue Remodeling in the Chronically Inflamed Mouse Colon. Cellular and Molecular Gastroenterology and Hepatology. 17(4). 639–656. 3 indexed citations
2.
Faupel‐Badger, Jessica M., Indu Kohaar, Manisha Bahl, et al.. (2024). Defining precancer: a grand challenge for the cancer community. Nature reviews. Cancer. 24(11). 792–809. 13 indexed citations
3.
Shin, Jaehoon, Matthew F.L. Parker, Iowis Zhu, et al.. (2022). Antigen-Dependent Inducible T-Cell Reporter System for PET Imaging of Breast Cancer and Glioblastoma. Journal of Nuclear Medicine. 64(1). 137–144. 7 indexed citations
4.
Murrow, Lyndsay M., Robert J. Weber, Christopher S. McGinnis, et al.. (2022). Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution. Cell Systems. 13(8). 644–664.e8. 16 indexed citations
5.
Fuhrmann, Alexander, et al.. (2017). Metastatic State of Cancer Cells May Be Indicated by Adhesion Strength. Biophysical Journal. 112(4). 736–745. 61 indexed citations
6.
Keating, Mark, et al.. (2015). Novel insights from 3D models: the pivotal role of physical symmetry in epithelial organization. Scientific Reports. 5(1). 15153–15153. 9 indexed citations
7.
Gascard, Philippe, Nancy Dumont, Jian‐xin Zhao, et al.. (2013). Rare somatic cells from human breast tissue exhibit extensive lineage plasticity. Proceedings of the National Academy of Sciences. 110(12). 4598–4603. 71 indexed citations
8.
DeFilippis, Rosa Anna, Hang Chang, Nancy Dumont, et al.. (2012). CD36 Repression Activates a Multicellular Stromal Program Shared by High Mammographic Density and Tumor Tissues. Cancer Discovery. 2(9). 826–839. 152 indexed citations
9.
Liao, David, et al.. (2012). Generalized principles of stochasticity can be used to control dynamic heterogeneity. Physical Biology. 9(6). 65006–65006. 9 indexed citations
10.
Liao, David, et al.. (2012). Conceptualizing a tool to optimize therapy based on dynamic heterogeneity. Physical Biology. 9(6). 65005–65005. 17 indexed citations
11.
Radisky, Derek C., Marta Santisteban, Hal K. Berman, et al.. (2011). p16INK4a Expression and Breast Cancer Risk in Women with Atypical Hyperplasia. Cancer Prevention Research. 4(12). 1953–1960. 23 indexed citations
12.
Dvorak, Harold F., Valerie M. Weaver, Thea D. Tlsty, & Gabriele Bergers. (2011). Tumor microenvironment and progression. Journal of Surgical Oncology. 103(6). 468–474. 146 indexed citations
13.
Kerlikowske, Karla, Annette M. Molinaro, Hal K. Berman, et al.. (2010). Biomarker Expression and Risk of Subsequent Tumors After Initial Ductal Carcinoma In Situ Diagnosis. JNCI Journal of the National Cancer Institute. 102(9). 627–637. 253 indexed citations
14.
Fordyce, Colleen, Tim Fessenden, Curtis R. Pickering, et al.. (2009). DNA Damage Drives an Activin A–Dependent Induction of Cyclooxygenase-2 in Premalignant Cells and Lesions. Cancer Prevention Research. 3(2). 190–201. 33 indexed citations
15.
Crawford, Yongping, et al.. (2004). Histologically normal human mammary epithelia with silenced p16INK4a overexpress COX-2, promoting a premalignant program. Cancer Cell. 5(3). 263–273. 108 indexed citations
16.
Tlsty, Thea D., et al.. (2001). Loss of Chromosomal Integrity in Human Mammary Epithelial Cells Subsequent to Escape from enescence. Griffith Research Online (Griffith University, Queensland, Australia). 37 indexed citations
17.
Tlsty, Thea D. & Patrick W. Hein. (2001). Know thy neighbor: stromal cells can contribute oncogenic signals. Current Opinion in Genetics & Development. 11(1). 54–59. 321 indexed citations
18.
Tlsty, Thea D.. (1997). Genomic Instability and Its Role in Neoplasia. Current topics in microbiology and immunology. 221. 37–46. 44 indexed citations
19.
Tlsty, Thea D., et al.. (1990). Replication of the dihydrofolate reductase genes on double minute chromosomes in a murine cell line. Experimental Cell Research. 188(1). 164–168. 5 indexed citations
20.
Tlsty, Thea D., et al.. (1984). Rapid emergence of methotrexate resistance in cultured mouse cells.. PubMed. 44(8). 3303–6. 33 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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