Samuel Usher

462 citations
7 papers · 326 · h-index 5

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Ion channel regulation and function
    • RNA Research and Splicing

Papers in

Samuel Usher

6 papers receiving 324 citations

Peers

Samuel Usher
Comparison fields: 5 of 47
  • Cancer Research 60
  • Molecular Biology 233
  • Pathology and Forensic Medicine 48
  • Developmental Neuroscience 8
  • Endocrinology, Diabetes and Metabolism 31
Replace Penglong Wu with:
Penglong Wu China
Silvia Magalhaes Novais Portugal
Tetsuro Marunouchi Japan
Chifei Kang United States
Simon T. Bond Australia
Alejandro Orlowski Argentina
Corinna Dickel Germany
Eugeny Yu. Talanov Russia
Kristin E. Follman United States
Sebastian Rogatti United Kingdom
Samuel Usher relative to Penglong Wu China Penglong Wu's profile →
Citations per field
00.5×5.3×
Penglong Wu · 1×
Citations per year

Countries citing papers authored by Samuel Usher

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Usher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Samuel Usher, 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 Samuel Usher Line = papers co-authored together Samuel Usher links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2015194
2 202078
3 201925
4 202018
5 20229
6 20242
7 20250

About Samuel Usher

Samuel Usher is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Surgery and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 326 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (4 papers), Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Pancreatic function and diabetes (1 paper), Signaling Pathways in Disease (1 paper), Mechanical Circulatory Support Devices (1 paper), Lipid Membrane Structure and Behavior (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (60 citations), Molecular Biology (233 citations), Pathology and Forensic Medicine (48 citations), Developmental Neuroscience (8 citations) and Endocrinology, Diabetes and Metabolism (31 citations). Samuel Usher has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Frances M. Ashcroft, Phillip J. Stansfeld, Mengdi Li, Samantha Laber, G. Sachse, Dyan Sellayah, Roger Cox, Myrte Merkestein, Jeremy Sanderson and Fiona McMurray. Their work appears in journals such as eLife, Science Advances, Proceedings of the National Academy of Sciences, Nature Communications and Nature Reviews Endocrinology.

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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