Marty W. Mayo
- Cancer Research top 0.1%
- NF-κB Signaling Pathways 31
- Geriatrics and Gerontology top 0.1%
- Immunology top 0.5%
- interferon and immune responses 7
- Molecular Biology top 0.5%
- Cell death mechanisms and regulation 11
- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 6
- Mechanisms of cancer metastasis 6
- Oncology top 0.5%
- Cytokine Signaling Pathways and Interactions 7
- Cancer Cells and Metastasis 6
- Co-authors
- Albert S. BaldwinCun-Yu WangLee V. MadridDavid V. GoeddelRobert G. KornelukDavid R. JonesFan YeungDenis C. Guttridge
- Journals
- Science (4 papers)Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Marty W. Mayo
65 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cancer Research 5.6k
- Geriatrics and Gerontology 1.4k
- Immunology 3.8k
- Molecular Biology 8.8k
- Oncology 3.2k
Countries citing papers authored by Marty W. Mayo
This map shows the geographic impact of Marty W. Mayo'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 Marty W. Mayo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marty W. Mayo more than expected).
Fields of papers citing papers by Marty W. Mayo
This network shows the impact of papers produced by Marty W. Mayo. 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 Marty W. Mayo. The network helps show where Marty W. Mayo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marty W. Mayo, 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 | 2025 | 0 | |
| 2 | 2020 | 23 | |
| 3 | 2020 | 56 | |
| 4 | 2020 | 96 | |
| 5 | 2018 | 30 | |
| 6 | 2017 | 56 | |
| 7 | 2016 | 28 | |
| 8 | 2014 | 61 | |
| 9 | 2014 | 9 | |
| 10 | 2012 | 36 | |
| 11 | 2012 | 22 | |
| 12 | 2010 | 10 | |
| 13 | 2007 | 81 | |
| 14 | 2005 | 212 | |
| 15 | 2004 | 184 | |
| 16 | 2002 | 107 | |
| 17 | 2001 | 67 | |
| 18 | Akt Stimulates the Transactivation Potential of the RelA/p65 Subunit of NF-κB through Utilization of the IκB Kinase and Activation of the Mitogen-activated Protein Kinase p38breakdown → | 2001 | 686 |
| 19 | 2000 | 280 | |
| 20 | 1999 | 202 |
About Marty W. Mayo
Marty W. Mayo is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 70 papers that have together received 14.5k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (31 papers), Cell death mechanisms and regulation (11 papers), interferon and immune responses (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), Cancer Cells and Metastasis (6 papers), Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (6 papers) and Mechanisms of cancer metastasis (6 papers). The work is most often cited by research in Cancer Research (5.6k citations), Geriatrics and Gerontology (1.4k citations) and Immunology (3.8k citations). Marty W. Mayo has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Albert S. Baldwin, Cun-Yu Wang, Lee V. Madrid, David V. Goeddel, Robert G. Korneluk, David R. Jones, Fan Yeung, Denis C. Guttridge, Michael D. Keller and Roy A. Frye. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.