David Heard
Impact in
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- Estrogen and related hormone effects
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- RNA modifications and cancer 2
- RNA Research and Splicing 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Peder Lisby Nørby (1 shared paper)Henrik Vissing (1 shared paper)Jim Holloway (1 shared paper)Pierre Chambon (2 shared papers)Robert Fraser (2 shared papers)Jean‐Marc Egly (1 shared paper)Mireille Rossignol (1 shared paper)Witold Filipowicz (2 shared papers)
- Journals
- Expert Opinion on Drug Metabolism & Toxicology (2 papers)Journal of Biological Chemistry (2 papers)The EMBO Journal (1 paper)Brain Research (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
David Heard
9 papers receiving 464 citations
Peers
Comparison fields: 5 of 87
- Genetics 164
- Developmental Neuroscience 24
- Molecular Biology 275
- Computational Theory and Mathematics 55
- Cellular and Molecular Neuroscience 59
Countries citing papers authored by David Heard
This map shows the geographic impact of David Heard'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 Heard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Heard more than expected).
Fields of papers citing papers by David Heard
This network shows the impact of papers produced by David Heard. 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 Heard. The network helps show where David Heard may publish in the future.
Co-authors
The 25 scholars most cited alongside David Heard, 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 | 2000 | 171 | |
| 2 | 1997 | 73 | |
| 3 | 2008 | 73 | |
| 4 | 1998 | 45 | |
| 5 | 2012 | 36 | |
| 6 | 1993 | 30 | |
| 7 | 1995 | 19 | |
| 8 | 2011 | 16 | |
| 9 | 2012 | 13 | |
| 10 | Equipment Lifecycle Management: The Solution for Yesterday's, Today's, and Tomorrow's Networks | 2005 | 0 |
About David Heard
David Heard is a scholar working on Molecular Biology, Computational Theory and Mathematics, Small Animals, Genetics and Immunology, having authored 10 papers that have together received 476 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Animal testing and alternatives (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Estrogen and related hormone effects (2 papers), Plant Molecular Biology Research (1 paper), Alzheimer's disease research and treatments (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Genetics (164 citations), Developmental Neuroscience (24 citations), Molecular Biology (275 citations), Computational Theory and Mathematics (55 citations) and Cellular and Molecular Neuroscience (59 citations). David Heard has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Peder Lisby Nørby, Henrik Vissing, Jim Holloway, Pierre Chambon, Robert Fraser, Jean‐Marc Egly, Mireille Rossignol, Witold Filipowicz, Zbigniew Binienda and Larry Schmued. Their work appears in journals such as Expert Opinion on Drug Metabolism & Toxicology, Journal of Biological Chemistry, The EMBO Journal, Brain Research and International Journal of Molecular Sciences.
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.