Steven Beasley

999 citations
18 papers · 853 · h-index 13

Impact in

    • Protein Structure and Dynamics
    • Ubiquitin and proteasome pathways
    • Polyamine Metabolism and Applications
    • RNA and protein synthesis mechanisms
  • Biochemistry top 10%

Papers in

    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 3
    • Protein Structure and Dynamics 3
    • RNA modifications and cancer 3
    • Enzyme Structure and Function 7

Steven Beasley

18 papers receiving 848 citations

Peers

Steven Beasley
Comparison fields: 5 of 99
  • Molecular Biology 643
  • Biochemistry 56
  • Neurology 96
  • Materials Chemistry 218
  • Genetics 123
Replace Marco Krämer with:
Marco Krämer Germany
Cesira de Chiara United Kingdom
Joseph Irr United States
Christopher T. Jurgenson United States
Carol L. Ladner-Keay Canada
Karina Kitzing Switzerland
Jad Abdallah Lebanon
Santiago Lima United States
Seong‐Hwan Rho South Korea
Cecilia Emanuelsson Sweden
Steven Beasley relative to Marco Krämer Germany Marco Krämer's profile →
Citations per field
00.5×5.3×
Marco Krämer · 1×
Citations per year

Countries citing papers authored by Steven Beasley

Since Specialization
Citations

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

Fields of papers citing papers by Steven Beasley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2001127
2 2009114
3 200398
4 200198
5 200782
6 200382
7 200366
8 200266
9 200537
10 200520
11 200418
12 200214
13 201512
14 20126
15 20205
16 20024
17 20223
18 20181

About Steven Beasley

Steven Beasley is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Ecology and Epidemiology, having authored 18 papers that have together received 853 indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Protein Structure and Dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers), RNA modifications and cancer (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Molecular Biology (643 citations), Biochemistry (56 citations), Neurology (96 citations), Materials Chemistry (218 citations) and Genetics (123 citations). Steven Beasley has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include A.M. Edwards, Gary S. Shaw, Alexei Savchenko, Ventzislava A. Hristova, T. Skarina, C.H. Arrowsmith, A. Joachimiak, R. Jane Rylett, E. Evdokimova and Sergey Korolev. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Structure and PLoS ONE.

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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