Matthew N. Bainbridge

52.7k citations
62 papers · 3.8k indexed · 2 hit papers · h-index 30
Topics
Genomics and Rare Diseases (17 papers)Genomic variations and chromosomal abnormalities (8 papers)RNA and protein synthesis mechanisms (7 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Matthew N. Bainbridge

62 papers receiving 3.8k citations

Hit Papers

Genome-wide profiles of STAT1 DNA association using chrom...2007202620132019200720182505007501000

Peers

Matthew N. Bainbridge
Comparison fields: 5 of 130
  • Molecular Biology 2.4k
  • Genetics 1.3k
  • Cancer Research 595
  • Oncology 279
  • Immunology 228
Replace Jennifer M. Lee with:
Jennifer M. Lee United States
Anja Thormann United Kingdom
Matt W. Wright United Kingdom
Adam Ameur Sweden
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Silvia Cereghini France
Kenneth Katz United States
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Matthew N. Bainbridge relative to Jennifer M. Lee United States Jennifer M. Lee's profile →
Citations per field
00.5×1.5×
Jennifer M. Lee · 1×
Citations per year

Countries citing papers authored by Matthew N. Bainbridge

Since Specialization
Citations

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

Fields of papers citing papers by Matthew N. Bainbridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew N. Bainbridge

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew N. Bainbridge. A scholar is included among the top collaborators of Matthew N. Bainbridge 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 N. Bainbridge. Matthew N. Bainbridge 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
#WorkIndexed citations
1 2
2 10
3 22
4 4
5 13
6 8
7 28
8 10
9 8
10 57
11
Rapid whole-genome sequencing decreases infant morbidity and cost of hospitalizationbreakdown →
280
12 50
13 47
14 7
15 49
16 76
17 16
18 102
19 29
20 40

About Matthew N. Bainbridge

Matthew N. Bainbridge is a scholar working on Aging, Genetics and Clinical Biochemistry, having authored 62 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (17 papers), Genomic variations and chromosomal abnormalities (8 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Genetics (1.3k citations), Cancer Research (595 citations) and Molecular Biology (2.4k citations). Matthew N. Bainbridge has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Steven J.M. Jones, Richard Varhol, Martin Hirst, Marco A. Marra, Gordon Robertson, Richard A. Gibbs, Allen Delaney, Thomas Zeng, Misha Bilenky and Nina Thiessen. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

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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