Peter D. Mace
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Cell death mechanisms and regulation
- Inflammasome and immune disorders
- Protein Degradation and Inhibitors
- Immunology top 5%
- interferon and immune responses
Papers in
-
- Ubiquitin and proteasome pathways 18
- Cell death mechanisms and regulation 15
- Protein Kinase Regulation and GTPase Signaling 8
- Melanoma and MAPK Pathways 4
- Oncology 15
- Cancer-related Molecular Pathways 8
- Co-authors
- Catherine L. Day (15 shared papers)Stefan J. Riedl (15 shared papers)John Silke (6 shared papers)David L. Vaux (6 shared papers)James M. Murphy (7 shared papers)Bernhard C. Lechtenberg (4 shared papers)Katrin Linke (2 shared papers)Clyde A. Smith (2 shared papers)
- Journals
- Nature Communications (5 papers)Journal of Biological Chemistry (5 papers)Journal of Molecular Biology (4 papers)ACS Chemical Biology (2 papers)Cell Death and Differentiation (2 papers)
- Partner nations
- New ZealandUnited StatesAustralia
In The Last Decade
Peter D. Mace
56 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 2.0k
- Immunology 521
- Cancer Research 345
- Oncology 590
- Cell Biology 326
Countries citing papers authored by Peter D. Mace
This map shows the geographic impact of Peter D. Mace'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 Peter D. Mace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter D. Mace more than expected).
Fields of papers citing papers by Peter D. Mace
This network shows the impact of papers produced by Peter D. Mace. 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 Peter D. Mace. The network helps show where Peter D. Mace may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter D. Mace, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 238 | |
| 2 | 2009 | 199 | |
| 3 | 2012 | 145 | |
| 4 | 2008 | 144 | |
| 5 | 2016 | 144 | |
| 6 | 2011 | 132 | |
| 7 | 2020 | 97 | |
| 8 | 2014 | 93 | |
| 9 | 2015 | 82 | |
| 10 | 2009 | 80 | |
| 11 | 2017 | 76 | |
| 12 | 2013 | 71 | |
| 13 | 2010 | 69 | |
| 14 | 2010 | 68 | |
| 15 | 2010 | 68 | |
| 16 | 2021 | 66 | |
| 17 | 2017 | 66 | |
| 18 | 2015 | 50 | |
| 19 | 2018 | 48 | |
| 20 | 2006 | 44 |
About Peter D. Mace
Peter D. Mace is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Cancer Research, having authored 58 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (18 papers), Cell death mechanisms and regulation (15 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Cancer-related Molecular Pathways (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers), interferon and immune responses (6 papers), NF-κB Signaling Pathways (5 papers) and Melanoma and MAPK Pathways (4 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Immunology (521 citations), Cancer Research (345 citations), Oncology (590 citations) and Cell Biology (326 citations). Peter D. Mace has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Catherine L. Day, Stefan J. Riedl, John Silke, David L. Vaux, James M. Murphy, Bernhard C. Lechtenberg, Katrin Linke, Clyde A. Smith, Rebecca Feltham and Sarah Shirley. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Journal of Molecular Biology, ACS Chemical Biology and Cell Death and Differentiation.
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.