Matthew G. Stanton

2.2k citations
19 papers · 1.4k indexed · 1 hit paper · h-index 15

Matthew G. Stanton

19 papers receiving 1.4k citations

Hit Papers

A Novel Amino Lipid Series for mRNA Delivery: Improved En...6032018202620202023200400600

Peers

Matthew G. Stanton
Comparison fields: 5 of 100
  • Molecular Biology 988
  • Process Chemistry and Technology 32
  • Immunology 216
  • Infectious Diseases 167
  • Organic Chemistry 221
Replace Martin McLaughlin with:
Martin McLaughlin United Kingdom
Huanzhen Ni Singapore
Suman Alishetty United States
Akiko Yamazaki Japan
Jinwoo Lee United States
Sandra Ward United States
Anoma Somasunderam United States
Josh Zaifman Canada
Narendra K. Vaish Germany
John F. Domsic United States
Matthew G. Stanton relative to Martin McLaughlin United Kingdom Martin McLaughlin's profile →
Citations per field
00.5×5.3×
Martin McLaughlin · 1×
Citations per year

Countries citing papers authored by Matthew G. Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Matthew G. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 202133
2 202037
3 202021
4 2020218
5 20192
6
A Novel Amino Lipid Series for mRNA Delivery: Improved Endosomal Escape and Sustained Pharmacology and Safety in Non-human Primatesbreakdown →
2018603
7 201820
8 20169
9 20168
10 2016105
11 201053
12 200836
13 20077
14 200637
15 200321
16 200261
17 199845
18 199744
19 199743

About Matthew G. Stanton

Matthew G. Stanton is a scholar working on Organic Chemistry, Molecular Biology and Rehabilitation, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Asymmetric Synthesis and Catalysis (4 papers), Telemedicine and Telehealth Implementation (4 papers), Chemical Synthesis and Analysis (3 papers), Patient Satisfaction in Healthcare (2 papers), MicroRNA in disease regulation (2 papers) and Synthetic Organic Chemistry Methods (2 papers). The work is most often cited by research in Molecular Biology (988 citations), Process Chemistry and Technology (32 citations) and Immunology (216 citations). Matthew G. Stanton has collaborated with scholars based in United States. Frequent co-authors include Michel R. Gagné, Iain J. McFadyen, Cosmin Mihai, Tatiana Ketova, Joyce Chan, Staci Sabnis, Alex Bulychev, Joseph J. Senn, Kerry E. Benenato and Timothy Salerno. Their work appears in journals such as Journal of the American Chemical Society, Neurology and Journal of Medicinal Chemistry.

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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