Michael Datto

8.7k total citations · 2 hit papers
69 papers, 6.4k citations indexed

About

Michael Datto is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Michael Datto has authored 69 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 29 papers in Oncology and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Michael Datto's work include TGF-β signaling in diseases (14 papers), Cancer Genomics and Diagnostics (13 papers) and Genetic factors in colorectal cancer (11 papers). Michael Datto is often cited by papers focused on TGF-β signaling in diseases (14 papers), Cancer Genomics and Diagnostics (13 papers) and Genetic factors in colorectal cancer (11 papers). Michael Datto collaborates with scholars based in United States, France and Finland. Michael Datto's co-authors include Joshua P. Frederick, Xiao‐Fan Wang, Xiao‐Fan Wang, Nicole T. Liberati, Y Li, Joanne Fanelli Panus, Denise Howe, Yin Xiong, Yong Yu and Carolyn Wong and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael Datto

66 papers receiving 6.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancer

2016 1.2k citations Marilyn M. Li, Michael Datto et al. Journal of Molecular Diagnostics profile →
Transforming growth factor beta induces the cyclin-dependent kinase inhibitor p21 through a p53-independent mechanism.

1995 816 citations Michael Datto et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Datto United States	34	4.1k	2.2k	1.4k	875	844	69	6.4k
Tae‐Min Kim South Korea	43	2.6k 0.6×	1.4k 0.7×	1.8k 1.3×	938 1.1×	947 1.1×	166	5.5k
Ralf Bützow Finland	53	3.0k 0.7×	1.8k 0.8×	1.6k 1.1×	1.3k 1.5×	770 0.9×	188	7.4k
Javier Benı́tez Spain	51	3.9k 1.0×	2.2k 1.0×	2.1k 1.5×	1.5k 1.7×	619 0.7×	243	7.6k
Svetlana Pack United States	47	3.1k 0.8×	1.5k 0.7×	1.1k 0.7×	690 0.8×	1.4k 1.6×	130	6.5k
David W. Yandell United States	38	3.9k 1.0×	3.1k 1.4×	1.2k 0.8×	749 0.9×	751 0.9×	67	7.0k
Dennis K. Watson United States	41	3.6k 0.9×	1.3k 0.6×	1.0k 0.7×	742 0.8×	776 0.9×	106	5.8k
Vundavalli V. Murty United States	40	4.4k 1.1×	1.9k 0.9×	1.3k 0.9×	1.2k 1.4×	687 0.8×	109	7.2k
Manuel R. Teixeira Portugal	43	3.4k 0.8×	1.7k 0.8×	1.9k 1.4×	1.3k 1.5×	1.9k 2.2×	225	6.4k
Roberta Maestro Italy	42	4.9k 1.2×	2.9k 1.3×	1.5k 1.0×	833 1.0×	1.8k 2.1×	121	8.5k
Jonathan D. Oliner United States	21	4.2k 1.0×	3.3k 1.5×	1.1k 0.8×	419 0.5×	687 0.8×	28	6.0k

Countries citing papers authored by Michael Datto

Since Specialization

Citations

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

Fields of papers citing papers by Michael Datto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Datto

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Datto. A scholar is included among the top collaborators of Michael Datto 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 Datto. Michael Datto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Huang, Richard S.P., Michelle Green, Andrej Savol, et al.. (2025). Analytical validation (accuracy, reproducibility, limit of detection) and gene expression analysis of FoundationOneRNA assay for fusion detection in 189 clinical tumor specimens. PLoS ONE. 20(9). e0329697–e0329697.

Maynard, Elizabeth, Matthew McKinney, Linda Sutton, et al.. (2024). Expansion of an Academic Molecular Tumor Board to Enhance Access to Biomarker-Driven Trials and Therapies in the Rural Southeastern United States. Current Oncology. 31(11). 7244–7257. 1 indexed citations

Green, Michelle, Shannon J. McCall, Matthew McKinney, et al.. (2021). Implementation of a Molecular Tumor Registry to Support the Adoption of Precision Oncology Within an Academic Medical Center: The Duke University Experience. JCO Precision Oncology. 5(5). 1493–1506. 13 indexed citations

Deak, Kristen, Jennifer Jackson, Laurel A. Keefer, et al.. (2021). Next-Generation Sequencing Concordance Analysis of Comprehensive Solid Tumor Profiling between a Centralized Specialty Laboratory and the Decentralized Personal Genome Diagnostics elio Tissue Complete Kitted Solution. Journal of Molecular Diagnostics. 23(10). 1324–1333. 11 indexed citations

Geisinger, Kim R., et al.. (2021). Donor-Derived Neuroendocrine Carcinoma Transmission to Two Kidney Transplant Recipients Demonstrated by Short Tandem Repeat Analysis: A Case Report. Transplantation Proceedings. 53(4). 1337–1341. 2 indexed citations

Li, Marilyn M., Michael Datto, Eric J. Duncavage, et al.. (2016). Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancer. Journal of Molecular Diagnostics. 19(1). 4–23. 1205 indexed citations breakdown →

Tafe, Laura J., Michael Datto, Glenn E. Palomaki, & Felicitas Lacbawan. (2014). Molecular testing for the BRCA1 and BRCA2 Ashkenazi Jewish founder mutations: a report on the College of American Pathologists proficiency testing surveys. Genetics in Medicine. 17(1). 58–62. 13 indexed citations

McCall, Chad M., Stacy Mosier, Marija Debeljak, et al.. (2014). False Positives in Multiplex PCR-Based Next-Generation Sequencing Have Unique Signatures. Journal of Molecular Diagnostics. 16(5). 541–549. 35 indexed citations

Osada, Takuya, William T. Barry, Xiao Yang, et al.. (2012). Characterization of an Oxaliplatin Sensitivity Predictor in a Preclinical Murine Model of Colorectal Cancer. Molecular Cancer Therapeutics. 11(7). 1500–1509. 31 indexed citations

10.

Gatza, Catherine E., Alisha Holtzhausen, Kellye C. Kirkbride, et al.. (2011). Type III TGF-β Receptor Enhances Colon Cancer Cell Migration and Anchorage-Independent Growth. Neoplasia. 13(8). 758–IN28. 52 indexed citations

11.

Lanasa, Mark C., Patricia H. Davis, Michael Datto, et al.. (2011). Phase II study of cenersen, an antisense inhibitor of p53, in combination with fludarabine, cyclophosphamide and rituximab for high-risk chronic lymphocytic leukemia. Leukemia & lymphoma. 53(2). 218–224. 11 indexed citations

12.

Pan, Hongjie, Enyu Ding, Mai Hu, et al.. (2010). SMAD4 Is Required for Development of Maximal Endotoxin Tolerance. The Journal of Immunology. 184(10). 5502–5509. 33 indexed citations

13.

Barry, William T., Dawn Kernagis, Holly K. Dressman, et al.. (2010). Intratumor Heterogeneity and Precision of Microarray-Based Predictors of Breast Cancer Biology and Clinical Outcome. Journal of Clinical Oncology. 28(13). 2198–2206. 84 indexed citations

14.

Wang, Endi, Charles Blake Hutchinson, Qin Huang, et al.. (2010). Histiocytic sarcoma arising in indolent small B-cell lymphoma: report of two cases with molecular/genetic evidence suggestive of a ‘transdifferentiation’ during the clonal evolution. Leukemia & lymphoma. 51(5). 802–812. 63 indexed citations

15.

Schilling, Stephen H., Anita B. Hjelmeland, Daniel R. Radiloff, et al.. (2009). NDRG4 Is Required for Cell Cycle Progression and Survival in Glioblastoma Cells. Journal of Biological Chemistry. 284(37). 25160–25169. 47 indexed citations

16.

Wooldridge, Anne A., Christopher N. Fortner, Beáta Lontay, et al.. (2008). Deletion of the Protein Kinase A/Protein Kinase G Target SMTNL1 Promotes an Exercise-adapted Phenotype in Vascular Smooth Muscle. Journal of Biological Chemistry. 283(17). 11850–11859. 35 indexed citations

17.

Radiloff, Daniel R., Michael Datto, Barbara A. Centeno, et al.. (2008). Extracellular matrix protein βig-h3/TGFBI promotes metastasis of colon cancer by enhancing cell extravasation. Genes & Development. 22(3). 308–321. 188 indexed citations

18.

Schilling, Stephen H., Michael Datto, & Xiao‐Fan Wang. (2006). A Phosphatase Controls the Fate of Receptor-Regulated Smads. Cell. 125(5). 838–840. 15 indexed citations

19.

Kivinen, Laura, et al.. (1999). UV Radiation Is a Transcriptional Inducer of p21Cip1/Waf1Cyclin-Kinase Inhibitor in a p53-Independent Manner. Experimental Cell Research. 248(1). 272–279. 52 indexed citations

20.

Datto, Michael, et al.. (1997). The Viral Oncoprotein E1A Blocks Transforming Growth Factor β-Mediated Induction of p21/WAF1/Cip1 and p15/INK4B. Molecular and Cellular Biology. 17(4). 2030–2037. 85 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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