David Hau
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Metabolomics and Mass Spectrometry Studies
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
- Genetics top 10%
- BRCA gene mutations in cancer
Papers in
-
- Ubiquitin and proteasome pathways 3
- DNA Repair Mechanisms 2
- Metabolomics and Mass Spectrometry Studies 2
- CRISPR and Genetic Engineering 2
- Glycosylation and Glycoproteins Research 1
- Gene expression and cancer classification 1
- Genetics 3
- BRCA gene mutations in cancer 2
- Co-authors
- J. N. Mark Glover (3 shared papers)R. Scott Williams (3 shared papers)Megan S. Lee (2 shared papers)David S. Wishart (4 shared papers)Jianguo Xia (2 shared papers)An Chi Guo (1 shared paper)Vivian Law (1 shared paper)Emilia L. Lim (1 shared paper)
- Journals
- Journal of Biomolecular NMR (1 paper)Metabolomics (1 paper)Journal of Cardiac Failure (1 paper)Nature Structural & Molecular Biology (1 paper)FEBS Journal (1 paper)
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
David Hau
10 papers receiving 889 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 685
- Genetics 252
- Cancer Research 73
- Oncology 107
- Computational Theory and Mathematics 63
Countries citing papers authored by David Hau
This map shows the geographic impact of David Hau'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 Hau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Hau more than expected).
Fields of papers citing papers by David Hau
This network shows the impact of papers produced by David Hau. 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 Hau. The network helps show where David Hau may publish in the future.
Co-authors
The 25 scholars most cited alongside David Hau, 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 | 2009 | 288 | |
| 2 | 2004 | 191 | |
| 3 | 2010 | 131 | |
| 4 | 2003 | 106 | |
| 5 | 2010 | 51 | |
| 6 | 2006 | 44 | |
| 7 | 2011 | 27 | |
| 8 | 2007 | 26 | |
| 9 | 2011 | 26 | |
| 10 | 2006 | 15 |
About David Hau
David Hau is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Neurology and Oncology, having authored 10 papers that have together received 905 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), DNA Repair Mechanisms (2 papers), BRCA gene mutations in cancer (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Diet and metabolism studies (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Biology (685 citations), Genetics (252 citations), Cancer Research (73 citations), Oncology (107 citations) and Computational Theory and Mathematics (63 citations). David Hau has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include J. N. Mark Glover, R. Scott Williams, Megan S. Lee, David S. Wishart, Jianguo Xia, An Chi Guo, Vivian Law, Emilia L. Lim, Timothy Jewison and Yongjie Liang. Their work appears in journals such as Journal of Biomolecular NMR, Metabolomics, Journal of Cardiac Failure, Nature Structural & Molecular Biology and FEBS Journal.
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.