David Tree

1.3k citations
11 papers · 993 indexed · h-index 8
    • Hippo pathway signaling and YAP/TAZ 4
  • Aging top 10%
    • Developmental Biology and Gene Regulation 4
    • Wnt/β-catenin signaling in development and cancer 3
    • Nuclear Structure and Function 3
    • Single-cell and spatial transcriptomics 2
    • Gene Regulatory Network Analysis 2
    • RNA Research and Splicing 2
    • Virus-based gene therapy research 1

David Tree

9 papers receiving 983 citations

Peers

David Tree
Comparison fields: 5 of 80
  • Cell Biology 511
  • Aging 23
  • Molecular Biology 865
  • Cellular and Molecular Neuroscience 90
  • Genetics 93
Replace Jana Krauß with:
Jana Krauß Germany
Yasushi Saka United Kingdom
Charlotte Martin France
Carole Seum Switzerland
Guillaume Valentin Germany
Gregory T. Reeves United States
Arish N Shah United States
Dalia Rosin Israel
Claudia Mieko Mizutani United States
Manuela Melchionda United Kingdom
David Tree relative to Jana Krauß Germany Jana Krauß's profile →
Citations per field
00.5×1.5×
Jana Krauß · 1×
Citations per year

Countries citing papers authored by David Tree

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with David Tree Line = papers co-authored together David Tree links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20241
2 20240
3 201912
4 201228
5 20110
6 201113
7 20088
8 2005224
9 2002131
10 2002355
11 1999221

About David Tree

David Tree is a scholar working on Cell Biology, Information Systems and Management, Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 11 papers that have together received 993 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), Developmental Biology and Gene Regulation (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Nuclear Structure and Function (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 (511 citations), Aging (23 citations), Molecular Biology (865 citations), Cellular and Molecular Neuroscience (90 citations) and Genetics (93 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, Keith Amonlirdviman, Claire J. Tomlin, Colin Green and David Huen. Their work appears in journals such as Biogerontology, Teaching in Higher Education, Genes & Development, Science and Seminars in Cell and Developmental Biology.

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.

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