Steven Barrett

2.3k citations
7 papers · 1.8k · 2 hit papers · h-index 6

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Extracellular vesicles in disease

Papers in

Steven Barrett

7 papers receiving 1.8k citations

Steven Barrett's Hit Papers

Circular RNAs: analysis, expression and potential functions 2016 · 673 citations
6730+4+8Years since publication200400600

Peers

Steven Barrett
Comparison fields: 5 of 78
  • Cancer Research 1.2k
  • Molecular Biology 1.6k
  • Geriatrics and Gerontology 41
  • Aging 17
  • Physiology 50
Replace Siyu Xia with:
Siyu Xia China
Hoshang Unwalla United States
Huihui Zhao China
Arash Latifkar United States
Nina Frey Switzerland
Vishruth Girish United States
Tinghe Wu China
Cynthia Aslan Iran
Zili Liu China
Byeongsoo Kang South Korea
Steven Barrett relative to Siyu Xia China Siyu Xia's profile →
Citations per field
00.5×10×15×18.5×
Siyu Xia · 1×
Citations per year

Countries citing papers authored by Steven Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Steven Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Steven Barrett, 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 Barrett Line = papers co-authored together Steven Barrett links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Circular RNAs: analysis, expression and potential functions
Hit paper breakdown →
2016673
2
Circular RNA Is Expressed across the Eukaryotic Tree of Life
Hit paper breakdown →
2014610
3 2015376
4 201364
5 201632
6 201419
7 20195

About Steven Barrett

Steven Barrett is a scholar working on Molecular Biology, Geriatrics and Gerontology, Cancer Research, Physiology and Nutrition and Dietetics, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (3 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (3 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (1 paper), DNA Repair Mechanisms (1 paper), Patient Safety and Medication Errors (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (1.6k citations), Geriatrics and Gerontology (41 citations), Aging (17 citations) and Physiology (50 citations). Steven Barrett has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Julia Salzman, Peter L. Wang, Muh‐Ching Yee, Mari Olsen, Gregory J. Hogan, José R. Dinneny, Yun Bao, Patrick O. Brown, Wasim Baqir and Julian C. Hughes. Their work appears in journals such as PLoS ONE, Development, Genes & Development, eLife and European Journal of Hospital Pharmacy.

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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