Debra Urwin

655 citations
8 papers · 451 · h-index 6

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Chromatin Remodeling and Cancer
    • Genomics and Rare Diseases

Papers in

Debra Urwin

8 papers receiving 443 citations

Peers

Debra Urwin
Comparison fields: 5 of 67
  • Molecular Biology 309
  • Genetics 108
  • Plant Science 64
  • Structural Biology 2
  • Genetics 14
Replace Mohammad Reza Miri with:
Mohammad Reza Miri Iran
Weiniu Gan United States
Sharon Fischman Israel
Devin Close United States
Linda Barton United Kingdom
Maria João Silva Australia
Mahmut Selman Yıldırım Türkiye
Changfu Lu China
Uwe Schwartz Germany
A Kikuchi Japan
Debra Urwin relative to Mohammad Reza Miri Iran Mohammad Reza Miri's profile →
Citations per field
00.5×1.5×
Mohammad Reza Miri · 1×
Citations per year

Countries citing papers authored by Debra Urwin

Since Specialization
Citations

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

Fields of papers citing papers by Debra Urwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Debra Urwin, 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 Debra Urwin Line = papers co-authored together Debra Urwin links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2005226
2 2016107
3 201164
4 200025
5
Interleukin-5: a drug target for allergic diseases.
200011
6 202110
7 20045
8 20253

About Debra Urwin

Debra Urwin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Immunology and Anesthesiology and Pain Medicine, having authored 8 papers that have together received 451 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (2 papers), Asthma and respiratory diseases (2 papers), Cystic Fibrosis Research Advances (1 paper), Airway Management and Intubation Techniques (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Pleural and Pulmonary Diseases (1 paper) and Voice and Speech Disorders (1 paper). The work is most often cited by research in Molecular Biology (309 citations), Genetics (108 citations), Plant Science (64 citations), Structural Biology (2 citations) and Genetics (14 citations). Debra Urwin has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include James T. Kadonaga, Alexandra Lusser, Caron Molster, Hugh Dawkins, Douglas E. Smith, Sharon E. Torigoe, Richard Lake, Haruhiko Ishii, David Groth and Jan Hansel. Their work appears in journals such as RSC Chemical Biology, Molecular Cell, British Journal of Anaesthesia, Orphanet Journal of Rare Diseases and European Journal of Immunology.

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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