Matt Fish
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Pluripotent Stem Cells Research
- Cancer-related gene regulation
Papers in
-
- Wnt/β-catenin signaling in development and cancer 7
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 3
- Developmental Biology and Gene Regulation 2
-
- Liver physiology and pathology 4
- Co-authors
- Roel Nusse (9 shared papers)Catriona Y. Logan (4 shared papers)Bruce Wang (3 shared papers)Ludan Zhao (2 shared papers)Christophe Fuerer (2 shared papers)Wouter Koole (1 shared paper)Elif Eroğlu (1 shared paper)Derk ten Berge (1 shared paper)
- Journals
- Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)Cell stem cell (1 paper)Development (1 paper)
- Partner nations
- United StatesNorwayJapan
In The Last Decade
Matt Fish
14 papers receiving 1.6k citations
Matt Fish's Hit Papers
Peers
Comparison fields: 5 of 109
- Hepatology 475
- Molecular Biology 974
- Cell Biology 195
- Aging 20
- Surgery 415
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 | Self-renewing diploid Axin2+ cells fuel homeostatic renewal of the liver Hit paper breakdown → | 2015 | 517 |
| 2 | 2008 | 383 | |
| 3 | Inflammatory Cytokine TNFα Promotes the Long-Term Expansion of Primary Hepatocytes in 3D Culture Hit paper breakdown → | 2018 | 254 |
| 4 | 2011 | 145 | |
| 5 | 1999 | 111 | |
| 6 | 2019 | 86 | |
| 7 | 2005 | 27 | |
| 8 | 2004 | 23 | |
| 9 | 2022 | 21 | |
| 10 | 2006 | 18 | |
| 11 | 2002 | 5 | |
| 12 | How the World Wide Web works | 1996 | 5 |
| 13 | 2009 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 0 | |
| 16 | 2018 | 0 |
About Matt Fish
Matt Fish is a scholar working on Molecular Biology, Hepatology, Surgery, Condensed Matter Physics and Cell Biology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (7 papers), Liver physiology and pathology (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (3 papers), Pancreatic function and diabetes (3 papers), Micro and Nano Robotics (2 papers), Modular Robots and Swarm Intelligence (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Hepatology (475 citations), Molecular Biology (974 citations), Cell Biology (195 citations), Aging (20 citations) and Surgery (415 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, Wouter Koole, Elif Eroğlu, Derk ten Berge, Karl Willert and Yinhua Jin. Their work appears in journals such as Genetics, Proceedings of the National Academy of Sciences, Nature Communications, Cell stem cell and Development.
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.