David Healey
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 3
- Genomics and Phylogenetic Studies 1
- Genetics 3
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Rick White (1 shared paper)Sonia Kim (1 shared paper)Randall T. Peterson (1 shared paper)Rita Mateus (1 shared paper)Andreas A. Werdich (1 shared paper)Stephen J. Haggarty (1 shared paper)Jennifer Bryan (1 shared paper)Chung Yan Cheung (1 shared paper)
- Journals
- Molecular Systems Biology (1 paper)Nature Chemical Biology (1 paper)Clinical Gastroenterology and Hepatology (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Biology (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
David Healey
10 papers receiving 749 citations
Peers
Comparison fields: 5 of 86
- Cell Biology 324
- Hepatology 85
- Molecular Biology 391
- Health, Toxicology and Mutagenesis 75
- Aging 9
Countries citing papers authored by David Healey
This map shows the geographic impact of David Healey'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 David Healey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Healey more than expected).
Fields of papers citing papers by David Healey
This network shows the impact of papers produced by David Healey. 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 David Healey. The network helps show where David Healey may publish in the future.
Co-authors
The 25 scholars most cited alongside David Healey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 447 | |
| 2 | 2013 | 130 | |
| 3 | 2010 | 74 | |
| 4 | 2010 | 31 | |
| 5 | 2016 | 27 | |
| 6 | 2009 | 26 | |
| 7 | 2008 | 24 | |
| 8 | 2023 | 3 | |
| 9 | 2008 | 2 | |
| 10 | 2011 | 1 |
About David Healey
David Healey is a scholar working on Molecular Biology, Genetics, Hepatology, Pharmacology and Virology, having authored 10 papers that have together received 765 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (3 papers), Bacterial Genetics and Biotechnology (2 papers), Hepatitis C virus research (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Cell Biology (324 citations), Hepatology (85 citations), Molecular Biology (391 citations), Health, Toxicology and Mutagenesis (75 citations) and Aging (9 citations). David Healey has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Rick White, Sonia Kim, Randall T. Peterson, Rita Mateus, Andreas A. Werdich, Stephen J. Haggarty, Jennifer Bryan, Chung Yan Cheung, David Kokel and Christian Laggner. Their work appears in journals such as Molecular Systems Biology, Nature Chemical Biology, Clinical Gastroenterology and Hepatology, Proceedings of the National Academy of Sciences and BMC Biology.
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.