James Briscoe

26.0k total citations · 7 hit papers
169 papers, 18.5k citations indexed

About

James Briscoe is a scholar working on Molecular Biology, Cell Biology and Developmental Neuroscience. According to data from OpenAlex, James Briscoe has authored 169 papers receiving a total of 18.5k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Molecular Biology, 26 papers in Cell Biology and 26 papers in Developmental Neuroscience. Recurrent topics in James Briscoe's work include Developmental Biology and Gene Regulation (86 papers), Hedgehog Signaling Pathway Studies (51 papers) and Pluripotent Stem Cells Research (29 papers). James Briscoe is often cited by papers focused on Developmental Biology and Gene Regulation (86 papers), Hedgehog Signaling Pathway Studies (51 papers) and Pluripotent Stem Cells Research (29 papers). James Briscoe collaborates with scholars based in United Kingdom, United States and Germany. James Briscoe's co-authors include Johan Ericson, Pascal P. Thérond, Thomas M. Jessell, Éric Dessaud, Martin Cheung, Fausto Ulloa, Alessandra Pierani, Andreas Sagner, Hilary L. Ashe and Andrew P. McMahon and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

James Briscoe

162 papers receiving 18.2k citations

Hit Papers

The mechanisms of Hedgehog signal... 1993 2026 2004 2015 2013 2000 1997 1993 1999 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Briscoe United Kingdom 69 14.8k 3.2k 2.9k 2.4k 2.3k 169 18.5k
Spyros Artavanis‐Tsakonas United States 70 18.1k 1.2× 2.5k 0.8× 1.4k 0.5× 3.2k 1.3× 2.1k 0.9× 121 22.4k
Heiner Westphal United States 73 14.9k 1.0× 5.8k 1.8× 1.8k 0.6× 1.7k 0.7× 1.7k 0.7× 153 22.5k
Shinichi Aizawa Japan 71 13.0k 0.9× 2.6k 0.8× 1.2k 0.4× 3.2k 1.3× 1.9k 0.8× 193 19.5k
Ryoichiro Kageyama Japan 95 20.8k 1.4× 4.0k 1.2× 6.0k 2.1× 2.9k 1.2× 2.1k 0.9× 277 28.3k
Juergen A. Knoblich Austria 74 19.3k 1.3× 2.0k 0.6× 2.8k 1.0× 7.0k 2.9× 3.3k 1.4× 149 27.3k
Michael Wegner Germany 78 12.5k 0.8× 4.5k 1.4× 4.4k 1.5× 1.8k 0.7× 1.2k 0.5× 265 19.9k
Gerry Weinmaster United States 59 10.6k 0.7× 1.7k 0.5× 2.1k 0.7× 1.6k 0.7× 1.0k 0.5× 86 14.4k
Philippe Soriano United States 82 18.1k 1.2× 4.6k 1.4× 1.7k 0.6× 4.5k 1.9× 3.1k 1.4× 150 26.7k
Alexandra L. Joyner United States 87 21.0k 1.4× 6.5k 2.0× 4.1k 1.4× 2.4k 1.0× 1.2k 0.5× 194 27.2k
Marianne Bronner‐Fraser United States 94 22.8k 1.5× 5.8k 1.8× 2.7k 0.9× 4.2k 1.7× 2.3k 1.0× 430 29.5k

Countries citing papers authored by James Briscoe

Since Specialization
Citations

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

Fields of papers citing papers by James Briscoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Briscoe. 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 James Briscoe. The network helps show where James Briscoe may publish in the future.

Co-authorship network of co-authors of James Briscoe

This figure shows the co-authorship network connecting the top 25 collaborators of James Briscoe. A scholar is included among the top collaborators of James Briscoe 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 James Briscoe. James Briscoe 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
1.
Briscoe, James, Craig E. Franklin, Daniel A. Gorelick, E. Elizabeth Patton, & Michael Way. (2025). Science under siege: protecting scientific progress in turbulent times. Biology Open. 14(3).
2.
Briscoe, James, Craig E. Franklin, Daniel A. Gorelick, E. Elizabeth Patton, & Michael Way. (2025). Science under siege: protecting scientific progress in turbulent times. Disease Models & Mechanisms. 18(3). 1 indexed citations
5.
Rayón, Teresa, Rory J. Maizels, Christopher Barrington, & James Briscoe. (2021). Single-cell transcriptome profiling of the human developing spinal cord reveals a conserved genetic programme with human-specific features. Development. 148(15). 70 indexed citations
6.
Exelby, Katherine, Rubén Perez‐Carrasco, Andreas Sagner, et al.. (2021). Precision of tissue patterning is controlled by dynamical properties of gene regulatory networks. Development. 148(4). 40 indexed citations
7.
Vartanian, Audrey Der, Nabila Elarouci, Frédéric Causeret, et al.. (2020). The PAX-FOXO1s trigger fast trans-differentiation of chick embryonic neural cells into alveolar rhabdomyosarcoma with tissue invasive properties limited by S phase entry inhibition. PLoS Genetics. 16(11). e1009164–e1009164. 11 indexed citations
8.
Rayón, Teresa, Despina Stamataki, Rubén Perez‐Carrasco, et al.. (2020). Species-specific pace of development is associated with differences in protein stability. Science. 369(6510). 151 indexed citations
9.
Comai, Glenda, Markéta Tesařová, Valérie Dupé, et al.. (2020). Local retinoic acid signaling directs emergence of the extraocular muscle functional unit. PLoS Biology. 18(11). e3000902–e3000902. 22 indexed citations
10.
Arber, Silvia & James Briscoe. (2019). Thomas M. Jessell (1951-2019). Development. 146(10). 1 indexed citations
11.
Perez‐Carrasco, Rubén, et al.. (2018). Memory functions reveal structural properties of gene regulatory networks. PLoS Computational Biology. 14(2). e1006003–e1006003. 24 indexed citations
12.
Zagórski, Marcin, Yoji Tabata, Nathalie Brandenberg, et al.. (2017). Decoding of position in the developing neural tube from antiparallel morphogen gradients. Science. 356(6345). 1379–1383. 115 indexed citations
13.
Kutějová, Eva, et al.. (2016). Neural Progenitors Adopt Specific Identities by Directly Repressing All Alternative Progenitor Transcriptional Programs. Developmental Cell. 36(6). 639–653. 62 indexed citations
14.
Jacob, John, Jennifer H. Kong, Steven Moore, et al.. (2013). Retinoid Acid Specifies Neuronal Identity through Graded Expression of Ascl1. Current Biology. 23(5). 412–418. 26 indexed citations
15.
Jacob, John R., Vanessa Ribes, Steven Moore, et al.. (2013). Valproic Acid silencing ofascl1b/ascl1results in the failure of serotonergic differentiation in a zebrafish model of Fetal Valproate Syndrome. Disease Models & Mechanisms. 7(1). 107–17. 31 indexed citations
16.
Matheu, Ander, Manuel Collado, Clare Wise, et al.. (2012). Oncogenicity of the Developmental Transcription Factor Sox9. Cancer Research. 72(5). 1301–1315. 168 indexed citations
17.
Balaskas, Nikolaos, Ana Ribeiro, Jasmina Panovska‐Griffiths, et al.. (2012). Gene Regulatory Logic for Reading the Sonic Hedgehog Signaling Gradient in the Vertebrate Neural Tube. Cell. 148(1-2). 273–284. 328 indexed citations
18.
Briscoe, James, Peter A. Lawrence, & Jean‐Paul Vincent. (2010). Generation and interpretation of morphogen gradients : a subject collection from Cold Spring Harbor perspectives in biology. 6 indexed citations
19.
Zhang, Xiaoyun, Ana Ribeiro, Rong Mo, et al.. (2009). The Kinesin Protein Kif7 Is a Critical Regulator of Gli Transcription Factors in Mammalian Hedgehog Signaling. Science Signaling. 2(76). ra29–ra29. 179 indexed citations
20.
Briscoe, James. (2004). Hedgehog Signaling: Measuring Ligand Concentrations with Receptor Ratios. Current Biology. 14(20). R889–R891. 3 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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