Devon Murphy

6 papers receiving 214 citations

Peers

Devon Murphy
Comparison fields: 5 of 77
  • Internal Medicine 12
  • Biophysics 21
  • Molecular Biology 116
  • Biomedical Engineering 74
  • Structural Biology 2
Replace Deborah Huber with:
Deborah Huber Switzerland
Haowei Wang China
Neftali Flores‐Rodriguez United Kingdom
A. Sina Booeshaghi United States
Ryan D. Johnson United States
André Gross Germany
Efraim Feinstein United States
Agathe Chaigne France
Hannah Farquar United States
Nadav Ben‐Dov Israel
Devon Murphy relative to Deborah Huber Switzerland Deborah Huber's profile →
Citations per field
00.5×6.5×
Deborah Huber · 1×
Citations per year

Countries citing papers authored by Devon Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Devon Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Devon Murphy, 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 Devon Murphy Line = papers co-authored together Devon Murphy links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2008176
2 200624
3 201216
4 19646
5
Knowledge Organization Systems and Information Ethics for Visual Resources
20202
6 20091
7 20231

About Devon Murphy

Devon Murphy is a scholar working on Internal Medicine, Surgery, Molecular Biology, Political Science and International Relations and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 226 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (2 papers), Copyright and Intellectual Property (1 paper), Intellectual Property Rights and Media (1 paper), Neurobiology and Insect Physiology Research (1 paper), Plant and Biological Electrophysiology Studies (1 paper), Diagnosis and Treatment of Venous Diseases (1 paper), Photonic and Optical Devices (1 paper) and Atrial Fibrillation Management and Outcomes (1 paper). The work is most often cited by research in Internal Medicine (12 citations), Biophysics (21 citations), Molecular Biology (116 citations), Biomedical Engineering (74 citations) and Structural Biology (2 citations). Devon Murphy has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Mathieu Foquet, Stephen Turner, Ronald L. Cicero, Jonas Korlach, Daniel B. Roitman, Thang Pham, Jeremy Gray, Patrick Marks, Geoff Otto and Elisabeth M. Battinelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, European Journal of Endocrinology, Hematology/Oncology Clinics of North America, Journal of Neuroscience Methods and Proceedings of the Association for Information Science and Technology.

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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