David Tree
Impact in
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Aging top 10%
Papers in
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- Developmental Biology and Gene Regulation 4
- Nuclear Structure and Function 3
- Wnt/β-catenin signaling in development and cancer 3
- Single-cell and spatial transcriptomics 2
- Gene Regulatory Network Analysis 2
- RNA Research and Splicing 2
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- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Jeffrey D. Axelrod (3 shared papers)David Gubb (2 shared papers)Matthew P. Scott (1 shared paper)Joshua Shulman (1 shared paper)Raphaël Rousset (1 shared paper)Dali Ma (1 shared paper)Claire J. Tomlin (1 shared paper)Keith Amonlirdviman (1 shared paper)
- Journals
- Biogerontology (1 paper)Biochemical Society Transactions (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Cell (1 paper)Teaching in Higher Education (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David Tree
10 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Cell Biology 514
- Aging 24
- Molecular Biology 887
- Cellular and Molecular Neuroscience 97
- Sensory Systems 17
Countries citing papers authored by David Tree
This map shows the geographic impact of David Tree'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 David Tree with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tree more than expected).
Fields of papers citing papers by David Tree
This network shows the impact of papers produced by David Tree. 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 David Tree. The network helps show where David Tree may publish in the future.
Co-authors
The 24 scholars most cited alongside David Tree, 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 | 2002 | 368 | |
| 2 | 2005 | 241 | |
| 3 | 1999 | 229 | |
| 4 | 2002 | 138 | |
| 5 | 2012 | 35 | |
| 6 | 2011 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2008 | 8 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2026 | 0 | |
| 12 | 2011 | 0 |
About David Tree
David Tree is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Information Systems and Management and Genetics, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), Developmental Biology and Gene Regulation (4 papers), Nuclear Structure and Function (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Single-cell and spatial transcriptomics (2 papers), Gene Regulatory Network Analysis (2 papers), RNA Research and Splicing (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Cell Biology (514 citations), Aging (24 citations), Molecular Biology (887 citations), Cellular and Molecular Neuroscience (97 citations) and Sensory Systems (17 citations). David Tree has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jeffrey D. Axelrod, David Gubb, Matthew P. Scott, Joshua Shulman, Raphaël Rousset, Dali Ma, Claire J. Tomlin, Keith Amonlirdviman, Sarah A. Collier and Colin Green. Their work appears in journals such as Biogerontology, Biochemical Society Transactions, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Cell and Teaching in Higher Education.
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.