David J. Price

10.5k total citations
205 papers, 7.9k citations indexed

About

David J. Price is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, David J. Price has authored 205 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 65 papers in Developmental Neuroscience and 61 papers in Cellular and Molecular Neuroscience. Recurrent topics in David J. Price's work include Neurogenesis and neuroplasticity mechanisms (62 papers), Developmental Biology and Gene Regulation (37 papers) and Axon Guidance and Neuronal Signaling (36 papers). David J. Price is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (62 papers), Developmental Biology and Gene Regulation (37 papers) and Axon Guidance and Neuronal Signaling (36 papers). David J. Price collaborates with scholars based in United Kingdom, United States and France. David J. Price's co-authors include John O. Mason, Thomas Pratt, T. Ian Simpson, Giorgio M. Innocenti, Martine Manuel, Ben Martynoga, J. D. Sleigh, Tania Vitalis, Colin Blakemore and Petrina A. Georgala and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David J. Price

201 papers receiving 7.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Price United Kingdom 51 4.3k 2.5k 2.0k 1.1k 1.0k 205 7.9k
Hans‐Peter Lipp Switzerland 64 4.8k 1.1× 4.2k 1.7× 2.2k 1.1× 972 0.9× 2.5k 2.4× 205 13.5k
Samuel Bernard France 34 4.4k 1.0× 1.3k 0.5× 1.9k 0.9× 791 0.7× 497 0.5× 77 11.4k
Julie R. Korenberg United States 51 5.5k 1.3× 1.4k 0.6× 2.2k 1.1× 2.5k 2.4× 919 0.9× 167 10.5k
Gábor Szabó Hungary 49 3.9k 0.9× 3.8k 1.6× 1.4k 0.7× 566 0.5× 1.6k 1.6× 279 9.8k
Hiroshi Kawasaki Japan 43 5.6k 1.3× 2.3k 0.9× 1.5k 0.7× 616 0.6× 405 0.4× 212 8.8k
André Fischer Germany 47 5.7k 1.3× 2.1k 0.9× 858 0.4× 1.7k 1.6× 919 0.9× 190 10.0k
Michaël Meyer Germany 48 3.7k 0.9× 4.7k 1.9× 1.7k 0.8× 604 0.6× 550 0.5× 206 10.9k
Ed S. Lein United States 30 4.6k 1.1× 3.4k 1.4× 1.1k 0.5× 1.3k 1.2× 2.9k 2.8× 65 10.3k
Michael Hawrylycz United States 32 4.1k 1.0× 2.4k 1.0× 773 0.4× 848 0.8× 1.7k 1.7× 64 8.6k
Laura Clarke United States 33 3.8k 0.9× 2.3k 0.9× 1.6k 0.8× 787 0.7× 449 0.4× 52 8.6k

Countries citing papers authored by David J. Price

Since Specialization
Citations

This map shows the geographic impact of David J. Price'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 J. Price with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Price more than expected).

Fields of papers citing papers by David J. Price

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Price. 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 J. Price. The network helps show where David J. Price may publish in the future.

Co-authorship network of co-authors of David J. Price

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Price. A scholar is included among the top collaborators of David J. Price 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 J. Price. David J. Price is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Manuel, Martine, Michael Molinek, Ross Dobie, et al.. (2022). Pax6 limits the competence of developing cerebral cortical cells to respond to inductive intercellular signals. PLoS Biology. 20(9). e3001563–e3001563. 14 indexed citations
3.
Tian, Tian, et al.. (2022). Pax6 loss alters the morphological and electrophysiological development of mouse prethalamic neurons. Development. 149(6). 4 indexed citations
4.
Hillary, Robert F., et al.. (2021). The neuropathology of autism: A systematic review of post-mortem studies of autism and related disorders. Neuroscience & Biobehavioral Reviews. 129. 35–62. 84 indexed citations
5.
Mason, John O. & David J. Price. (2016). Building brains in a dish: Prospects for growing cerebral organoids from stem cells. Neuroscience. 334. 105–118. 43 indexed citations
6.
Magnani, Dario, et al.. (2015). The molecular and cellular signatures of the mouse eminentia thalami support its role as a signalling centre in the developing forebrain. Brain Structure and Function. 221(7). 3709–3727. 7 indexed citations
7.
Kok, W. Mei, Timothy A. Hill, Rink‐Jan Lohman, et al.. (2015). Cyclic penta- and hexa leucine peptides without N-methylation are orally absorbed. Queensland's institutional digital repository (The University of Queensland). 250. 1 indexed citations
8.
Chen, Yijing, Dario Magnani, Thomas Theil, Thomas Pratt, & David J. Price. (2012). Evidence That Descending Cortical Axons Are Essential for Thalamocortical Axons to Cross the Pallial-Subpallial Boundary in the Embryonic Forebrain. PLoS ONE. 7(3). e33105–e33105. 35 indexed citations
9.
Lee, Frankie H. F., Marc P. Fadel, Sabine P. Cordes, et al.. (2011). Disc1Point Mutations in Mice Affect Development of the Cerebral Cortex. Journal of Neuroscience. 31(9). 3197–3206. 101 indexed citations
10.
Quinn, Jane, Michael Molinek, John O. Mason, & David J. Price. (2008). Gli3 is required autonomously for dorsal telencephalic cells to adopt appropriate fates during embryonic forebrain development. Developmental Biology. 327(1). 204–215. 15 indexed citations
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Martynoga, Ben, Harris Morrison, David J. Price, & John O. Mason. (2005). Foxg1 is required for specification of ventral telencephalon and region-specific regulation of dorsal telencephalic precursor proliferation and apoptosis. Developmental Biology. 283(1). 113–127. 315 indexed citations
13.
Keighren, Margaret, Thomas Pratt, Jean H. Flockhart, et al.. (2005). Evaluation of the mouse TgTP6.3 tauGFP transgene as a lineage marker in chimeras. Journal of Anatomy. 206(1). 79–92. 5 indexed citations
14.
Slaney, John, et al.. (2004). Guiding a theorem prover with soft constraints. ANU Open Research (Australian National University). 221–225. 2 indexed citations
15.
Pratt, Thomas, Jane Quinn, T. Ian Simpson, et al.. (2002). Disruption of Early Events in Thalamocortical Tract Formation in Mice Lacking the Transcription Factors Pax6 or Foxg1. Journal of Neuroscience. 22(19). 8523–8531. 37 indexed citations
16.
Vitalis, Tania, Coralie Fouquet, Chantal Alvarez, et al.. (2002). Developmental expression of monoamine oxidases A and B in the central and peripheral nervous systems of the mouse. The Journal of Comparative Neurology. 442(4). 331–347. 82 indexed citations
17.
Price, David J., Anil Kumar Saxena, & Marek Czosnyka. (1998). The Relationship of Vasogenic Waves to ICP and Cerebral Perfusion Pressure in Head Injured Patients. PubMed. 71. 297–299. 7 indexed citations
18.
Wainwright, H. & David J. Price. (1984). Forcing Dormant, Isolated Buds of Blackcurrant. HortScience. 19(1). 103–105. 3 indexed citations
19.
20.
Price, David J. & R. A. Shooter. (1964). Toxin Production of Faecal Strains of Clostridium Welchii. BMJ. 2(5418). 1176–1177. 5 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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