Matt Fish
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Hepatology top 2%
- Liver physiology and pathology
Papers in
-
- Liver physiology and pathology 4
-
- Wnt/β-catenin signaling in development and cancer 7
- Cancer-related gene regulation 3
- Single-cell and spatial transcriptomics 3
- Epigenetics and DNA Methylation 3
- Co-authors
- Roel Nusse (10 shared papers)Catriona Y. Logan (4 shared papers)Bruce Wang (3 shared papers)Ludan Zhao (2 shared papers)Christophe Fuerer (2 shared papers)Derk ten Berge (1 shared paper)Elif Şahin Eroğlu (1 shared paper)Wouter Koole (1 shared paper)
- Journals
- Nature (4 papers)Genetics (2 papers)Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Lancet (1 paper)
- Partner nations
- United StatesNorwayJapan
In The Last Decade
Matt Fish
18 papers receiving 3.0k citations
Matt Fish's Hit Papers
Peers
Comparison fields: 5 of 127
- Aging 227
- Hepatology 524
- Molecular Biology 1.7k
- Neurology 139
- Physiology 397
Countries citing papers authored by Matt Fish
This map shows the geographic impact of Matt Fish'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 Matt Fish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Fish more than expected).
Fields of papers citing papers by Matt Fish
This network shows the impact of papers produced by Matt Fish. 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 Matt Fish. The network helps show where Matt Fish may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Fish, 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 | A single-cell transcriptomic atlas characterizes ageing tissues in the mouse Hit paper breakdown → | 2020 | 799 |
| 2 | Self-renewing diploid Axin2+ cells fuel homeostatic renewal of the liver Hit paper breakdown → | 2015 | 568 |
| 3 | Ageing hallmarks exhibit organ-specific temporal signatures Hit paper breakdown → | 2020 | 462 |
| 4 | 2008 | 384 | |
| 5 | Inflammatory Cytokine TNFα Promotes the Long-Term Expansion of Primary Hepatocytes in 3D Culture Hit paper breakdown → | 2018 | 268 |
| 6 | 2011 | 142 | |
| 7 | 2022 | 109 | |
| 8 | 1999 | 103 | |
| 9 | 2019 | 91 | |
| 10 | 2005 | 28 | |
| 11 | 2024 | 26 | |
| 12 | 2004 | 23 | |
| 13 | 2022 | 22 | |
| 14 | 2006 | 18 | |
| 15 | 2002 | 5 | |
| 16 | How the World Wide Web works | 1996 | 5 |
| 17 | 2009 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2018 | 0 | |
| 20 | 2025 | 0 |
About Matt Fish
Matt Fish is a scholar working on Hepatology, Molecular Biology, Condensed Matter Physics, Cell Biology and Developmental Neuroscience, having authored 20 papers that have together received 3.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (7 papers), Liver physiology and pathology (4 papers), Cancer-related gene regulation (3 papers), Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (3 papers), Pancreatic function and diabetes (3 papers), Modular Robots and Swarm Intelligence (2 papers) and Micro and Nano Robotics (2 papers). The work is most often cited by research in Aging (227 citations), Hepatology (524 citations), Molecular Biology (1.7k citations), Neurology (139 citations) and Physiology (397 citations). Matt Fish has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include Roel Nusse, Catriona Y. Logan, Bruce Wang, Ludan Zhao, Christophe Fuerer, Derk ten Berge, Elif Şahin Eroğlu, Wouter Koole, Karl Willert and Yinhua Jin. Their work appears in journals such as Nature, Genetics, Nature Communications, Proceedings of the National Academy of Sciences and The Lancet.
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.