David Tree

1.3k total citations
11 papers, 993 citations indexed

About

David Tree is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Tree has authored 11 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in David Tree's work include Hippo pathway signaling and YAP/TAZ (4 papers), Developmental Biology and Gene Regulation (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). David Tree is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (4 papers), Developmental Biology and Gene Regulation (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). David Tree collaborates with scholars based in United Kingdom, United States and Germany. David Tree's co-authors include Jeffrey D. Axelrod, David Gubb, Matthew P. Scott, Raphaël Rousset, Joshua Shulman, Dali Ma, Claire J. Tomlin, Keith Amonlirdviman, Colin Green and Sarah A. Collier and has published in prestigious journals such as Science, Cell and Genes & Development.

In The Last Decade

David Tree

9 papers receiving 983 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Tree United Kingdom	8	865	511	98	93	90	11	993
Carole Seum Switzerland	14	769 0.9×	296 0.6×	203 2.1×	120 1.3×	82 0.9×	21	913
Fern P. Finger United States	12	780 0.9×	595 1.2×	98 1.0×	60 0.6×	84 0.9×	16	999
Jan R. De Mey France	10	578 0.7×	545 1.1×	62 0.6×	69 0.7×	37 0.4×	11	777
Charlotte Martin France	12	575 0.7×	477 0.9×	66 0.7×	71 0.8×	66 0.7×	13	807
António J. Pereira Portugal	19	793 0.9×	733 1.4×	252 2.6×	95 1.0×	46 0.5×	26	989
Yunrui Du United States	8	521 0.6×	456 0.9×	44 0.4×	79 0.8×	158 1.8×	8	771
Sofia B. Lizarraga United States	13	653 0.8×	441 0.9×	41 0.4×	144 1.5×	106 1.2×	21	866
Gregory T. Reeves United States	13	637 0.7×	219 0.4×	68 0.7×	89 1.0×	148 1.6×	32	775
Vincent Mirouse France	11	369 0.4×	392 0.8×	55 0.6×	34 0.4×	68 0.8×	19	596
Yu‐Chiun Wang Japan	11	473 0.5×	385 0.8×	34 0.3×	52 0.6×	72 0.8×	18	710

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 of co-authors of David Tree

This figure shows the co-authorship network connecting the top 25 collaborators of David Tree. A scholar is included among the top collaborators of David Tree based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Tree. David Tree is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Otermans, Pauldy, et al.. (2024). Measuring and mapping authentic assessment with a novel quantitative typology. Teaching in Higher Education. 30(3). 663–682. 1 indexed citations

Harvey, Amanda & David Tree. (2024). From silos to synthesis: ensuring interdisciplinary education through synoptic assessment. The Biochemist. 47(1). 27–34.

Clements, Craig S., Christopher H. Eskiw, David Tree, et al.. (2019). Presence and distribution of progerin in HGPS cells is ameliorated by drugs that impact on the mevalonate and mTOR pathways. Biogerontology. 20(3). 337–358. 12 indexed citations

Gao, Qian, et al.. (2012). Multiscale Modeling and Analysis of Planar Cell Polarity in the Drosophila Wing. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(2). 337–351. 28 indexed citations

Bridger, Joanna M., Christopher H. Eskiw, Evgeny M. Makarov, David Tree, & Ian R. Kill. (2011). Progeria Research Day at Brunel University. Nucleus. 2(6). 517–522.

Gao, Qian, Fei Liu, David Gilbert, Monika Heiner, & David Tree. (2011). A multiscale approach to modelling planar cell polarity in Drosophila wing using hierarchically coloured Petri nets. 209–218. 13 indexed citations

Bridger, Joanna M., et al.. (2008). Towards a Drosophila model of Hutchinson–Gilford progeria syndrome. Biochemical Society Transactions. 36(6). 1389–1392. 8 indexed citations

Amonlirdviman, Keith, et al.. (2005). Mathematical Modeling of Planar Cell Polarity to Understand Domineering Nonautonomy. Science. 307(5708). 423–426. 224 indexed citations

Tree, David, Dali Ma, & Jeffrey D. Axelrod. (2002). A three-tiered mechanism for regulation of planar cell polarity. Seminars in Cell and Developmental Biology. 13(3). 217–224. 131 indexed citations

10.

Tree, David, Joshua Shulman, Raphaël Rousset, et al.. (2002). Prickle Mediates Feedback Amplification to Generate Asymmetric Planar Cell Polarity Signaling. Cell. 109(3). 371–381. 355 indexed citations

11.

Gubb, David, Colin Green, David Huen, et al.. (1999). The balance between isoforms of the Prickle LIM domain protein is critical for planar polarity in Drosophila imaginal discs. Genes & Development. 13(17). 2315–2327. 221 indexed citations

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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