Martin J. Walsh
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research 10
- Molecular Biology top 1%
- Epigenetics and DNA Methylation 32
- Cancer-related gene regulation 23
- RNA modifications and cancer 18
- Genomics and Chromatin Dynamics 10
- RNA Research and Splicing 9
- Histone Deacetylase Inhibitors Research 8
- Biochemical and Molecular Research 7
- Aging top 5%
- Geriatrics and Gerontology top 5%
- Oncology top 5%
- Co-authors
- Ming‐Ming ZhouSiDe LiLei ZengJesús GilFrancesca AguilóShiraz MujtabaKyoko L. YapSelina Raguz
- Journals
- Journal of Biological Chemistry (11 papers)Proceedings of the National Academy of Sciences (6 papers)Cancer Research (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Martin J. Walsh
100 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cancer Research 1.8k
- Molecular Biology 5.1k
- Aging 70
- Geriatrics and Gerontology 114
- Oncology 639
Countries citing papers authored by Martin J. Walsh
This map shows the geographic impact of Martin J. Walsh'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 Martin J. Walsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin J. Walsh more than expected).
Fields of papers citing papers by Martin J. Walsh
This network shows the impact of papers produced by Martin J. Walsh. 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 Martin J. Walsh. The network helps show where Martin J. Walsh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin J. Walsh, 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 | 7 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2019 | 33 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 7 | |
| 12 | 2018 | 0 | |
| 13 | 2016 | 21 | |
| 14 | 2015 | 93 | |
| 15 | 2012 | 18 | |
| 16 | 2012 | 36 | |
| 17 | Molecular Interplay of the Noncoding RNA ANRIL and Methylated Histone H3 Lysine 27 by Polycomb CBX7 in Transcriptional Silencing of INK4abreakdown → | 2010 | 1122 |
| 18 | 2009 | 31 | |
| 19 | 2009 | 62 | |
| 20 | 2005 | 144 |
About Martin J. Walsh
Martin J. Walsh is a scholar working on Cancer Research, Molecular Biology and Hematology, having authored 105 papers that have together received 6.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (32 papers), Cancer-related gene regulation (23 papers), RNA modifications and cancer (18 papers), Genomics and Chromatin Dynamics (10 papers), Cancer-related molecular mechanisms research (10 papers), RNA Research and Splicing (9 papers), Histone Deacetylase Inhibitors Research (8 papers) and Biochemical and Molecular Research (7 papers). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (5.1k citations) and Aging (70 citations). Martin J. Walsh has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ming‐Ming Zhou, SiDe Li, Lei Zeng, Jesús Gil, Francesca Aguiló, Shiraz Mujtaba, Kyoko L. Yap, Selina Raguz, Ana M. Muñoz-Cabello and Neal S. LeLeiko. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Cancer Research, Bioorganic & Medicinal Chemistry Letters and iScience.
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.