David Marriott
Impact in
- Oncology top 2%
- Chemokine receptors and signaling
- Peptidase Inhibition and Analysis
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Ubiquitin and proteasome pathways 3
- Angiogenesis and VEGF in Cancer 1
- Muscle Physiology and Disorders 1
- Co-authors
- Vincent Chau (3 shared papers)David J. Ecker (1 shared paper)Andreas Bachmair (1 shared paper)John W. Tobias (1 shared paper)David K. Gonda (1 shared paper)Alexander Varshavsky (1 shared paper)James Kasper (1 shared paper)Alfred Walz (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Neurobiology of Learning and Memory (1 paper)Journal of Medical Genetics (1 paper)Science (1 paper)Protein Science (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David Marriott
9 papers receiving 2.5k citations
David Marriott's Hit Papers
Peers
Comparison fields: 5 of 103
- Oncology 1.1k
- Immunology and Allergy 228
- Immunology 670
- Molecular Biology 1.6k
- Cell Biology 317
Countries citing papers authored by David Marriott
This map shows the geographic impact of David Marriott'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 Marriott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Marriott more than expected).
Fields of papers citing papers by David Marriott
This network shows the impact of papers produced by David Marriott. 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 Marriott. The network helps show where David Marriott may publish in the future.
Co-authors
The 25 scholars most cited alongside David Marriott, 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 | A Multiubiquitin Chain Is Confined to Specific Lysine in a Targeted Short-Lived Protein Hit paper breakdown → | 1989 | 1272 |
| 2 | The Functional Role of the ELR Motif in CXC Chemokine-mediated Angiogenesis Hit paper breakdown → | 1995 | 1074 |
| 3 | 1997 | 106 | |
| 4 | 1985 | 67 | |
| 5 | 1987 | 33 | |
| 6 | 2018 | 27 | |
| 7 | 1980 | 8 | |
| 8 | 1982 | 6 | |
| 9 | 2021 | 1 |
About David Marriott
David Marriott is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Sociology and Political Science and Anthropology, having authored 9 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Ubiquitin and proteasome pathways (3 papers), Angiogenesis and VEGF in Cancer (1 paper), Microbial Metabolites in Food Biotechnology (1 paper), African history and culture studies (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Muscle Physiology and Disorders (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Oncology (1.1k citations), Immunology and Allergy (228 citations), Immunology (670 citations), Molecular Biology (1.6k citations) and Cell Biology (317 citations). David Marriott has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Vincent Chau, David J. Ecker, Andreas Bachmair, John W. Tobias, David K. Gonda, Alexander Varshavsky, James Kasper, Alfred Walz, Steven Roczniak and Jo Van Damme. Their work appears in journals such as Journal of Biological Chemistry, Neurobiology of Learning and Memory, Journal of Medical Genetics, Science and Protein Science.
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.