Michael A. Newton

16.0k citations

208 papers · 10.6k indexed · 3 hit papers · h-index 47

Impact in

Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Cancer Research top 1%
- Cancer-related molecular mechanisms research

Papers in

Statistics and Probability 17
- Statistical Methods and Inference 13
Cancer Research 26
- Cancer Genomics and Diagnostics 17

Co-authors: Adrian E. Raftery Christina Kendziorski Bob Mau John H. Laragh Paul Ahlquist Bret Larget Johan A. den Boon Craig S. Richmond
Journals: Journal of the American Statistical Association (11 papers)Proceedings of the National Academy of Sciences (10 papers)Biometrics (7 papers)PLoS ONE (5 papers)Journal of Computational and Graphical Statistics (4 papers)
Partner nations: United States Switzerland United Kingdom

In The Last Decade

Michael A. Newton

193 papers receiving 10.0k citations

Hit Papers

align trajectories log scale

On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data 2001 · 539 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2001 Journal of Computational Biology
1994 Journal of the Royal Statistical Society Series B (Statistical Methodology)
1972 New England Journal of Medicine

Peers

Countries citing papers authored by Michael A. Newton

Since Specialization

Citations

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

Fields of papers citing papers by Michael A. Newton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael A. Newton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael A. Newton Line = papers co-authored together Michael A. Newton links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Natural History of Colorectal Polyps Undergoing Longitudinal in Vivo CT Colonography Surveillance Radiology ·B. Dustin Pooler, David H. Kim, Kristina A. Matkowskyj, Michael A. Newton, Richard B. Halberg, William M. Grady, Cesare Hassan, Perry J. Pickhardt	2024	8
2	Limited Biomarker Potential for IgG Autoantibodies Reactive to Linear Epitopes in Systemic Lupus Erythematosus or Spondyloarthropathy Antibodies ·S. Janna Bashar, Zihao Zheng, Aisha M. Mergaert, Ryan R. Adyniec, Srishti Gupta, Maya F. Amjadi, Sara S. McCoy, Michael A. Newton, Miriam A. Shelef	2024	0
3	Administration of intratumoral GD2-directed interleukin-2 immunocytokine and local radiation therapy to activate immune rejection of spontaneous canine melanoma Melanoma Research ·Mark R. Albertini, Cindy Zuleger, Erik A. Ranheim, Oyewale Shiyanbola, Paul M. Sondel, Zachary S. Morris, Jens C. Eickhoff, Michael A. Newton, Irene M. Ong, Rene Welch, Rubi Hayim, Ilene D. Kurzman, Michelle Turek, David M. Vail	2024	3
4	Novel autoantibodies help diagnose anti-SSA antibody negative Sjögren disease and predict abnormal labial salivary gland pathology Annals of the Rheumatic Diseases ·Maxwell Parker, Zihao Zheng, Michael Lasarev, Michele Campaigne Larsen, Addie Vande Loo, Roxana Alexandridis, Michael A. Newton, Miriam A. Shelef, Sara S. McCoy	2024	4
5	Growth rates and histopathological outcomes of small (6–9 mm) colorectal polyps based on CT colonography surveillance and endoscopic removal Gut ·B. Dustin Pooler, David H. Kim, Kristina A. Matkowskyj, Michael A. Newton, Richard B. Halberg, William M. Grady, Cesare Hassan, Perry J. Pickhardt	2023	9
6	A compositional model to assess expression changes from single-cell RNA-seq data The Annals of Applied Statistics ·Xiuyu Ma, Keegan Korthauer, Christina Kendziorski, Michael A. Newton	2021	2
7	Validation of genetic classifiers derived from mouse and human tumors to identify molecular subtypes of colorectal cancer Human Pathology ·Santina M. Snow, Kristina A. Matkowskyj, Morgan E. Maresh, Linda Clipson, Tien Vo, Katherine A. Johnson, Dustin A. Deming, Michael A. Newton, William M. Grady, Perry J. Pickhardt, Richard B. Halberg	2021	1
8	Dual PI3K/mTOR Inhibition in Colorectal Cancers with APC and PIK3CA Mutations Molecular Cancer Research ·Tyler M. Foley, Susan N. Payne, Cheri A. Pasch, Alex E. Yueh, Dana R. Van De Hey, Demetra P. Korkos, Linda Clipson, Molly E. Maher, Kristina A. Matkowskyj, Michael A. Newton, Dustin A. Deming	2017	46
9	Further support for aneuploidy tolerance in wild yeast and effects of dosage compensation on gene copy-number evolution eLife ·Audrey P. Gasch, James Hose, Michael A. Newton, Maria Sardi, Mun Yong, Zhishi Wang	2016	37
10	Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling Proceedings of the National Academy of Sciences ·Johan A. den Boon, Dohun Pyeon, Sophia Wang, Mark Horswill, Mark Schiffman, Mark E. Sherman, Rosemary E. Zuna, Zhishi Wang, Stephen M. Hewitt, Rachel Pearson, Meghan Schott, Lisa Chung, Qiuling He, Paul F. Lambert, Joan L. Walker, Michael A. Newton, Nicolas Wentzensen, Paul Ahlquist	2015	222
11	Dynamic Tumor Growth Patterns in a Novel Murine Model of Colorectal Cancer Cancer Prevention Research ·Terrah J. Paul Olson, Jamie N. Hadac, Chelsie K. Sievers, Alyssa A. Leystra, Dustin A. Deming, Christopher D. Zahm, Dawn M. Albrecht, Alice Nomura, Laura A. Nettekoven, Lauren K. Plesh, Linda Clipson, Ruth Sullivan, Michael A. Newton, William R. Schelman, Richard B. Halberg	2013	13
12	A Model-Based Analysis to Infer the Functional Content of a Gene List Statistical Applications in Genetics and Molecular Biology ·Michael A. Newton, Qiuling He, Christina Kendziorski	2012	11
13	Exploring the Essence of an Object-Relational Impedance Mismatch - A novel technique based on Equivalence in the context of a Framework Open Research Online (The Open University) ·Chris Ireland, David Bowers, Michael A. Newton, Kevin Waugh	2011	2
14	Why Criminal Culpability Should Follow the Critical Path: Reframing the Theory of "Effective Control" Discover Archive (Vanderbilt University) ·Michael A. Newton, Casey Kuhlman	2010	1
15	Drosophila RNAi screen identifies host genes important for influenza virus replication Nature ·Linhui Hao, Akira Sakurai, Tokiko Watanabe, Ericka M. Sorensen, Chairul A. Nidom, Michael A. Newton, Paul Ahlquist, Yoshihiro Kawaoka	2008	356
16	Fundamental Differences in Cell Cycle Deregulation in Human Papillomavirus–Positive and Human Papillomavirus–Negative Head/Neck and Cervical Cancers Cancer Research ·Dohun Pyeon, Michael A. Newton, Paul F. Lambert, Johan A. den Boon, Srikumar Sengupta, Carmen J. Marsit, Craig D. Woodworth, Joseph P. Connor, Thomas H. Haugen, Elaine Smith, Karl T. Kelsey, Lubomír P. Turek, Paul Ahlquist	2007	382
17	Modern Military Necessity: The Role and Relevance of Military Lawyers SSRN Electronic Journal ·Michael A. Newton	2007	2
18	Genome-Wide Expression Profiling Reveals EBV-Associated Inhibition of MHC Class I Expression in Nasopharyngeal Carcinoma Cancer Research ·Srikumar Sengupta, Johan A. den Boon, I‐How Chen, Michael A. Newton, David B. Dahl, Meng Chen, Yu-Juen Cheng, William H. Westra, Chien‐Jen Chen, Allan Hildesheim, Bill Sugden, Paul Ahlquist	2006	194
19	Science as polite culture Cheryce Kramer, Trea Martyn, Michael A. Newton, Judith Hawley	2003	0
20	A distinctive fraction of alkaline phosphatase in health and disease Journal of Clinical Pathology ·Michael A. Newton	1966	15

About Michael A. Newton

Michael A. Newton is a scholar working on Statistics and Probability, Cancer Research, Oncology, Pathology and Forensic Medicine and Aging, having authored 208 papers that have together received 10.6k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (23 papers), Cancer Genomics and Diagnostics (17 papers), International Law and Human Rights (17 papers), Bayesian Methods and Mixture Models (15 papers), Gene expression and cancer classification (14 papers), Statistical Methods and Inference (13 papers), Immunotherapy and Immune Responses (11 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). The work is most often cited by research in Statistics and Probability (965 citations), Cancer Research (1.4k citations), Molecular Biology (4.8k citations), Genetics (1.8k citations) and Oncology (1.2k citations). Michael A. Newton has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Adrian E. Raftery, Christina Kendziorski, Bob Mau, John H. Laragh, Paul Ahlquist, Bret Larget, Johan A. den Boon, Craig S. Richmond, F. R. Blattner and Kam‐Wah Tsui. Their work appears in journals such as Journal of the American Statistical Association, Proceedings of the National Academy of Sciences, Biometrics, PLoS ONE and Journal of Computational and Graphical Statistics.

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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