Matthew Rabinowitz

8.2k total citations
76 papers, 2.9k citations indexed

About

Matthew Rabinowitz is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Cancer Research. According to data from OpenAlex, Matthew Rabinowitz has authored 76 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Pediatrics, Perinatology and Child Health, 32 papers in Genetics and 12 papers in Cancer Research. Recurrent topics in Matthew Rabinowitz's work include Prenatal Screening and Diagnostics (44 papers), Genomic variations and chromosomal abnormalities (22 papers) and Cancer Genomics and Diagnostics (12 papers). Matthew Rabinowitz is often cited by papers focused on Prenatal Screening and Diagnostics (44 papers), Genomic variations and chromosomal abnormalities (22 papers) and Cancer Genomics and Diagnostics (12 papers). Matthew Rabinowitz collaborates with scholars based in United States, Paraguay and Japan. Matthew Rabinowitz's co-authors include Zachary Demko, Allison Ryan, Styrmir Sigurjonsson, Matthew D. Hill, Milena Banjevic, Bernhard Zimmermann, Megan P. Hall, Dmitri A. Petrov, J. J. Spilker and G. Gemelos and has published in prestigious journals such as Science, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Matthew Rabinowitz

73 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Rabinowitz United States 25 2.1k 943 587 559 474 76 2.9k
Styrmir Sigurjonsson United States 21 1.6k 0.8× 643 0.7× 379 0.6× 490 0.9× 434 0.9× 34 2.3k
Nancy B. Y. Tsui Hong Kong 21 2.0k 1.0× 578 0.6× 126 0.2× 1.6k 2.8× 701 1.5× 35 3.6k
Reid F. Thompson United States 30 298 0.1× 373 0.4× 99 0.2× 1.4k 2.4× 331 0.7× 72 2.9k
Sebastian Giebel Poland 32 361 0.2× 127 0.1× 1.5k 2.5× 343 0.6× 52 0.1× 213 4.1k
Hanna Rennert United States 19 104 0.0× 458 0.5× 30 0.1× 504 0.9× 150 0.3× 61 1.1k
Yuri Fedoriw United States 23 98 0.0× 118 0.1× 244 0.4× 555 1.0× 160 0.3× 110 1.9k
Dong‐Zhi Li China 21 910 0.4× 496 0.5× 32 0.1× 427 0.8× 256 0.5× 270 1.9k
Sharyn I. Katz United States 20 60 0.0× 617 0.7× 72 0.1× 651 1.2× 145 0.3× 81 3.3k
C Leutner Germany 22 53 0.0× 464 0.5× 56 0.1× 157 0.3× 228 0.5× 46 4.5k
Odile Fenneteau France 20 212 0.1× 383 0.4× 303 0.5× 310 0.6× 98 0.2× 79 1.8k

Countries citing papers authored by Matthew Rabinowitz

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Rabinowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Rabinowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Rabinowitz. A scholar is included among the top collaborators of Matthew Rabinowitz 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 Matthew Rabinowitz. Matthew Rabinowitz 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.
Ratman, Dariusz, Michael G. Levin, Jiayi Sun, et al.. (2025). Polygenic risk scores improve CAD risk prediction in individuals at borderline and intermediate clinical risk. PubMed. 2(1). 2 indexed citations
2.
Shen, John Paul, Johannes G. Reiter, Joshua Babiarz, et al.. (2025). Development of a methylation-based, tissue-agnostic test for the detection of molecular residual disease by circulating tumor DNA.. Journal of Clinical Oncology. 43(4_suppl). 266–266. 1 indexed citations
3.
Norton, Mary E., Cora MacPherson, Zachary Demko, et al.. (2024). Obstetrical, Perinatal, and Genetic Outcomes Associated With Nonreportable Prenatal Cell-Free DNA Screening Results. Obstetrical & Gynecological Survey. 79(3). 146–148.
4.
Levy, Brynn, et al.. (2023). Integration of a Cross-Ancestry Polygenic Model With Clinical Risk Factors Improves Breast Cancer Risk Stratification. JCO Precision Oncology. 7(7). e2200447–e2200447. 5 indexed citations
5.
Norton, Mary E., Cora MacPherson, Zachary Demko, et al.. (2023). Obstetrical, perinatal, and genetic outcomes associated with nonreportable prenatal cell-free DNA screening results. American Journal of Obstetrics and Gynecology. 229(3). 300.e1–300.e9. 9 indexed citations
6.
7.
Taniguchi, Hiroya, Yoshiaki Nakamura, Daisuke Kotani, et al.. (2021). CIRCULATE‐Japan: Circulating tumor DNA–guided adaptive platform trials to refine adjuvant therapy for colorectal cancer. Cancer Science. 112(7). 2915–2920. 92 indexed citations
8.
Rabinowitz, Matthew, et al.. (2021). Y-Chromosome Microdeletions: A Review of Prevalence, Screening, and Clinical Considerations. The Application of Clinical Genetics. Volume 14. 51–59. 24 indexed citations
9.
Saucier, Jennifer, Sarah A. Prins, Meenakshi Malhotra, et al.. (2020). Clinical experience with carrier screening in a general population: support for a comprehensive pan-ethnic approach. Genetics in Medicine. 22(8). 1320–1328. 63 indexed citations
10.
Demko, Zachary, Alexander L. Simon, Rajiv C. McCoy, Dmitri A. Petrov, & Matthew Rabinowitz. (2016). Effects of maternal age on euploidy rates in a large cohort of embryos analyzed with 24-chromosome single-nucleotide polymorphism–based preimplantation genetic screening. Fertility and Sterility. 105(5). 1307–1313. 140 indexed citations
11.
Benn, Peter, et al.. (2015). An Economic Analysis of Cell-Free DNA Non-Invasive Prenatal Testing in the US General Pregnancy Population. PLoS ONE. 10(7). e0132313–e0132313. 38 indexed citations
12.
Wapner, Ronald J., Joshua Babiarz, Brynn Levy, et al.. (2014). Expanding the scope of noninvasive prenatal testing: detection of fetal microdeletion syndromes. American Journal of Obstetrics and Gynecology. 212(3). 332.e1–332.e9. 224 indexed citations
13.
Lathi, Ruth B., Megan Loring, Zachary Demko, et al.. (2012). Informatics Enhanced SNP Microarray Analysis of 30 Miscarriage Samples Compared to Routine Cytogenetics. PLoS ONE. 7(3). e31282–e31282. 35 indexed citations
14.
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16.
Ryan, Allison, Johan Banér, Zachary Demko, et al.. (2012). Informatics-based, highly accurate, noninvasive prenatal paternity testing. Genetics in Medicine. 15(6). 473–477. 28 indexed citations
17.
Rabinowitz, Matthew, et al.. (2000). Some Capabilities of a Joint GPS-LEO Navigation System. 255–265. 2 indexed citations
18.
Rabinowitz, Matthew, et al.. (2000). Architectures for Joint GPS/LEO Satellite Carrier Phase Receivers Designed for Rapid Robust Resolution of Carrier Cycle Ambiguities on Mobile Platforms. 881–890. 4 indexed citations
19.
Rabinowitz, Matthew, et al.. (1999). An adaptive newton-like training algorithm for nonlinear filters which have embedded memory.. 533–538.
20.
Rabinowitz, Matthew, Bradford W. Parkinson, & Clark E. Cohen. (1997). The application of LEOS to Cycle Ambiguity Resolution on Navstar Transmissions for Kinematic Carrier-Phase Positioning. 867–881. 3 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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