Timothy D. Martin
- Aging top 2%
- Cancer Research top 10%
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling 8
- PI3K/AKT/mTOR signaling in cancer 6
- Cell death mechanisms and regulation 4
- Melanoma and MAPK Pathways 3
- Cell Biology top 5%
- Cellular transport and secretion 2
- Physiology top 5%
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- Cancer Immunotherapy and Biomarkers 2
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- Chronic Myeloid Leukemia Treatments 2
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- Ferroptosis and cancer prognosis 2
- Co-authors
- Channing J. DerStephen J. ElledgeMamie Z. LiQikai XuMarco DemariaTao LuChanhee KangJudith Campisi
- Partner nations
- United StatesJapanGermany
In The Last Decade
Timothy D. Martin
24 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Aging 92
- Cancer Research 281
- Molecular Biology 1.2k
- Cell Biology 278
- Physiology 379
Countries citing papers authored by Timothy D. Martin
This map shows the geographic impact of Timothy D. Martin'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 Timothy D. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy D. Martin more than expected).
Fields of papers citing papers by Timothy D. Martin
This network shows the impact of papers produced by Timothy D. Martin. 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 Timothy D. Martin. The network helps show where Timothy D. Martin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Timothy D. Martin, 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 | 2024 | 12 | |
| 2 | 2021 | 106 | |
| 3 | 2021 | 8 | |
| 4 | 2020 | 0 | |
| 5 | 2020 | 0 | |
| 6 | 2018 | 133 | |
| 7 | 2017 | 62 | |
| 8 | The DNA damage response induces inflammation and senescence by inhibiting autophagy of GATA4breakdown → | 2015 | 737 |
| 9 | 2015 | 31 | |
| 10 | 2014 | 77 | |
| 11 | 2014 | 97 | |
| 12 | 2013 | 14 | |
| 13 | 2012 | 28 | |
| 14 | 2012 | 28 | |
| 15 | 2011 | 70 | |
| 16 | 2011 | 89 | |
| 17 | New Horizons in Standardized Work: Techniques for Manufacturing and Business Process Improvement | 2011 | 11 |
| 18 | 2010 | 19 | |
| 19 | 2010 | 49 | |
| 20 | Mike Kelley and Paul McCarthy: Collaborative Works | 2000 | 1 |
About Timothy D. Martin
Timothy D. Martin is a scholar working on Aging, Cell Biology and Cancer Research, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Cell death mechanisms and regulation (4 papers), Melanoma and MAPK Pathways (3 papers), Cellular transport and secretion (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Aging (92 citations), Cancer Research (281 citations) and Molecular Biology (1.2k citations). Timothy D. Martin has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Channing J. Der, Stephen J. Elledge, Mamie Z. Li, Qikai Xu, Marco Demaria, Tao Lu, Chanhee Kang, Judith Campisi, Liviu Aron and Bruce A. Yankner. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.