Peter D. Mace
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Cell death mechanisms and regulation
- Protein Kinase Regulation and GTPase Signaling
- Inflammasome and immune disorders
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
-
- Ubiquitin and proteasome pathways 14
- Cell death mechanisms and regulation 11
- Protein Kinase Regulation and GTPase Signaling 10
- Protein Structure and Dynamics 6
- Genomics and Chromatin Dynamics 4
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- NF-κB Signaling Pathways 7
- Co-authors
- Catherine L. Day (16 shared papers)Stefan J. Riedl (15 shared papers)David Lawrence Vaux (7 shared papers)John Silke (7 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
- Journal of Biological Chemistry (6 papers)Nature Communications (5 papers)Journal of Molecular Biology (4 papers)Structure (3 papers)ACS Chemical Biology (2 papers)
- Partner nations
- New ZealandUnited StatesAustralia
In The Last Decade
Peter D. Mace
61 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.8k
- Cancer Research 241
- Oncology 255
- Immunology 126
- Cell Biology 70
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 241 | |
| 2 | 2009 | 201 | |
| 3 | 2016 | 154 | |
| 4 | 2012 | 147 | |
| 5 | 2008 | 144 | |
| 6 | 2011 | 140 | |
| 7 | 2020 | 109 | |
| 8 | 2014 | 95 | |
| 9 | 2015 | 94 | |
| 10 | 2009 | 80 | |
| 11 | 2017 | 80 | |
| 12 | 2021 | 73 | |
| 13 | 2013 | 72 | |
| 14 | 2010 | 70 | |
| 15 | 2017 | 70 | |
| 16 | 2010 | 67 | |
| 17 | 2010 | 67 | |
| 18 | 2018 | 53 | |
| 19 | 2015 | 49 | |
| 20 | 2006 | 43 |
About Peter D. Mace
Peter D. Mace is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Materials Chemistry, having authored 64 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (14 papers), Cell death mechanisms and regulation (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Enzyme Structure and Function (8 papers), NF-κB Signaling Pathways (7 papers), Protein Structure and Dynamics (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (241 citations), Oncology (255 citations), Immunology (126 citations) and Cell Biology (70 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, David Lawrence Vaux, John Silke, James M. Murphy, Bernhard C. Lechtenberg, Katrin Linke, Clyde A. Smith, Rebecca Feltham and Sarah Shirley. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Journal of Molecular Biology, Structure and ACS Chemical 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.