Matthew W. Snyder

3.7k citations
14 papers · 1.9k indexed · 1 hit paper · h-index 10
Topics
Prenatal Screening and Diagnostics (5 papers)Cancer Genomics and Diagnostics (4 papers)Advanced Combustion Engine Technologies (4 papers)

In The Last Decade

Matthew W. Snyder

13 papers receiving 1.8k citations

Hit Papers

Cell-free DNA Comprises an In Vivo Nucleosome Footprint t...20162026201920222016250500750

Peers

Matthew W. Snyder
Comparison fields: 5 of 102
  • Cancer Research 968
  • Molecular Biology 902
  • Pediatrics, Perinatology and Child Health 426
  • Genetics 418
  • Oncology 284
Replace Nicolás J. Llosa with:
Nicolás J. Llosa United States
Marie Korabečná Czechia
A Iacone Italy
Quang Tri Nguyen United States
M S Mitchell United States
Bo‐Shiun Yan Taiwan
Wanchai Wanachiwanawin Thailand
Maho Nagasawa Netherlands
Tillman Pearce United States
Mauricio Salcedo Mexico
Matthew W. Snyder relative to Nicolás J. Llosa United States Nicolás J. Llosa's profile →
Citations per field
00.5×10.1×
Nicolás J. Llosa · 1×
Citations per year

Countries citing papers authored by Matthew W. Snyder

Since Specialization
Citations

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

Fields of papers citing papers by Matthew W. Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew W. Snyder

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 105
2 117
3 67
4
Cell-free DNA Comprises an In Vivo Nucleosome Footprint that Informs Its Tissues-Of-Originbreakdown →
940
5 114
6 97
7 25
8 127
9 24
10 262
11 1
12 8
13 2
14 2

About Matthew W. Snyder

Matthew W. Snyder is a scholar working on Fluid Flow and Transfer Processes, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 1.9k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (5 papers), Cancer Genomics and Diagnostics (4 papers) and Advanced Combustion Engine Technologies (4 papers). The work is most often cited by research in Cancer Research (968 citations), Pediatrics, Perinatology and Child Health (426 citations) and Molecular Medicine (82 citations). Matthew W. Snyder has collaborated with scholars based in United States, Belgium and Poland. Frequent co-authors include Jay Shendure, Riza M. Daza, Martin Kircher, Andrew J. Hill, Jacob O. Kitzman, Gregory M. Findlay, Hilary S. Gammill, Andrew C. Adey, Evan E. Eichler and Donna A. Santillan. Their work appears in journals such as New England Journal of Medicine, Cell and Nature Communications.

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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