Matthew A. Deardorff

11.1k citations
109 papers · 3.6k indexed · h-index 32

Matthew A. Deardorff

102 papers receiving 3.5k citations

Peers

Matthew A. Deardorff
Comparison fields: 5 of 132
  • Genetics 1.4k
  • Molecular Biology 2.7k
  • Developmental Biology 69
  • Pediatrics, Perinatology and Child Health 442
  • Cell Biology 289
Replace Andreas Winterpacht with:
Andreas Winterpacht Germany
Hirofumi Ohashi Japan
Michele D’Urso Italy
Marco Seri Italy
Claudia Ruivenkamp Netherlands
Bernd Wollnik Germany
Jeffrey E. Ming United States
Laura K. Conlin United States
Anita Farhi United States
G.J.B. van Ommen Netherlands
Matthew A. Deardorff relative to Andreas Winterpacht Germany Andreas Winterpacht's profile →
Citations per field
00.5×
Andreas Winterpacht · 1×
Citations per year

Countries citing papers authored by Matthew A. Deardorff

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Deardorff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Matthew A. Deardorff, 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 Matthew A. Deardorff Line = papers co-authored together Matthew A. Deardorff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20230
4 20219
5 202014
6 201910
7 201854
8 201713
9 201511
10 201359
11 201315
12 201319
13 20138
14 201218
15 201222
16 201173
17 200918
18 200968
19 200915
20 199843

About Matthew A. Deardorff

Matthew A. Deardorff is a scholar working on Genetics, Developmental Biology and Molecular Biology, having authored 109 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (24 papers), Genomic variations and chromosomal abnormalities (16 papers), Genetic Syndromes and Imprinting (15 papers), Prenatal Screening and Diagnostics (13 papers), Cancer-related gene regulation (11 papers), Epigenetics and DNA Methylation (11 papers), Genomics and Rare Diseases (9 papers) and Wnt/β-catenin signaling in development and cancer (9 papers). The work is most often cited by research in Genetics (1.4k citations), Molecular Biology (2.7k citations) and Developmental Biology (69 citations). Matthew A. Deardorff has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Peter S. Klein, Ian D. Krantz, Change Tan, Elaine H. Zackai, Nancy B. Spinner, Laura K. Conlin, Håkon Håkonarson, Maninder Kaur, Dinah Clark and Brian Thiel. Their work appears in journals such as American Journal of Medical Genetics Part C Seminars in Medical Genetics, American Journal of Medical Genetics Part A, Human Molecular Genetics, Genetics in Medicine and The American Journal of Human Genetics.

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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