David Arnott
- Developmental Neuroscience top 0.5%
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways 13
- Epigenetics and DNA Methylation 8
- Glycosylation and Glycoproteins Research 4
- Immunology top 2%
- interferon and immune responses 5
- Cancer Research top 2%
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- Advanced Proteomics Techniques and Applications 16
- Mass Spectrometry Techniques and Applications 12
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- Monoclonal and Polyclonal Antibodies Research 6
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- Cancer-related Molecular Pathways 4
- Co-authors
- Vishva M. DixitWilliam J. HenzelKuan Hong WangThomas KiddKatja BroseCorey S. GoodmanMarc Tessier‐LavigneIngrid E. Wertz
- Journals
- Molecular & Cellular Proteomics (7 papers)Journal of Biological Chemistry (4 papers)Nature (3 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
David Arnott
64 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Developmental Neuroscience 593
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 5.1k
- Immunology 1.4k
- Cancer Research 847
Countries citing papers authored by David Arnott
This map shows the geographic impact of David Arnott'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 Arnott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Arnott more than expected).
Fields of papers citing papers by David Arnott
This network shows the impact of papers produced by David Arnott. 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 Arnott. The network helps show where David Arnott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Arnott, 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 | 2020 | 16 | |
| 2 | 2018 | 223 | |
| 3 | 2017 | 37 | |
| 4 | 2016 | 85 | |
| 5 | 2015 | 77 | |
| 6 | 2014 | 98 | |
| 7 | 2014 | 100 | |
| 8 | 2013 | 35 | |
| 9 | 2011 | 72 | |
| 10 | 2010 | 38 | |
| 11 | 2010 | 27 | |
| 12 | 2010 | 154 | |
| 13 | 2009 | 95 | |
| 14 | 2007 | 380 | |
| 15 | 2006 | 22 | |
| 16 | 2004 | 301 | |
| 17 | 2001 | 424 | |
| 18 | 2000 | 13 | |
| 19 | 1999 | 38 | |
| 20 | 1999 | 87 |
About David Arnott
David Arnott is a scholar working on Spectroscopy, Molecular Biology, Cancer Research, Immunology and Developmental Neuroscience, having authored 64 papers that have together received 7.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (16 papers), Ubiquitin and proteasome pathways (13 papers), Mass Spectrometry Techniques and Applications (12 papers), Epigenetics and DNA Methylation (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), interferon and immune responses (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Developmental Neuroscience (593 citations), Cellular and Molecular Neuroscience (1.4k citations), Molecular Biology (5.1k citations), Immunology (1.4k citations) and Cancer Research (847 citations). David Arnott has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Vishva M. Dixit, William J. Henzel, Kuan Hong Wang, Thomas Kidd, Katja Brose, Corey S. Goodman, Marc Tessier‐Lavigne, Ingrid E. Wertz, K Bland and David Dornan. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Biological Chemistry, Nature, Cell and PROTEOMICS.
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.