Maurice Darding
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Phagocytosis and Immune Regulation
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
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- Cell death mechanisms and regulation 7
- Ubiquitin and proteasome pathways 6
- Inflammasome and immune disorders 3
- Retinoids in leukemia and cellular processes 1
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- interferon and immune responses 5
- Co-authors
- Pascal Meier (5 shared papers)Henning Walczak (6 shared papers)Tencho Tenev (4 shared papers)Katiuscia Bianchi (3 shared papers)Nieves Peltzer (4 shared papers)Marion MacFarlane (2 shared papers)Kelvin Cain (2 shared papers)Juanita Lopez (2 shared papers)
- Journals
- Cell Death and Differentiation (2 papers)Molecular Cell (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Maurice Darding
11 papers receiving 2.2k citations
Maurice Darding's Hit Papers
Peers
Comparison fields: 5 of 86
- Immunology 855
- Cancer Research 420
- Molecular Biology 1.7k
- Nephrology 108
- Oncology 332
Countries citing papers authored by Maurice Darding
This map shows the geographic impact of Maurice Darding'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 Maurice Darding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurice Darding more than expected).
Fields of papers citing papers by Maurice Darding
This network shows the impact of papers produced by Maurice Darding. 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 Maurice Darding. The network helps show where Maurice Darding may publish in the future.
Co-authors
The 25 scholars most cited alongside Maurice Darding, 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 | The Ripoptosome, a Signaling Platform that Assembles in Response to Genotoxic Stress and Loss of IAPs Hit paper breakdown → | 2011 | 688 |
| 2 | Two independent pathways of regulated necrosis mediate ischemia–reperfusion injury Hit paper breakdown → | 2013 | 469 |
| 3 | 2008 | 214 | |
| 4 | 2014 | 185 | |
| 5 | 2016 | 147 | |
| 6 | 2016 | 137 | |
| 7 | 2011 | 94 | |
| 8 | 2011 | 86 | |
| 9 | 2018 | 81 | |
| 10 | 2016 | 70 | |
| 11 | 2011 | 18 |
About Maurice Darding
Maurice Darding is a scholar working on Molecular Biology, Immunology, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 11 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), Ubiquitin and proteasome pathways (6 papers), NF-κB Signaling Pathways (6 papers), interferon and immune responses (5 papers), Inflammasome and immune disorders (3 papers), Adipose Tissue and Metabolism (1 paper), Cancer-related Molecular Pathways (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Immunology (855 citations), Cancer Research (420 citations), Molecular Biology (1.7k citations), Nephrology (108 citations) and Oncology (332 citations). Maurice Darding has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Pascal Meier, Henning Walczak, Tencho Tenev, Katiuscia Bianchi, Nieves Peltzer, Marion MacFarlane, Kelvin Cain, Juanita Lopez, Anna Zachariou and Meike Broemer. Their work appears in journals such as Cell Death and Differentiation, Molecular Cell, Nature Communications, Cell Reports and Nature Cell 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.