Phil Sanders

774 total citations
11 papers, 343 citations indexed

About

Phil Sanders is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Phil Sanders has authored 11 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Developmental Neuroscience. Recurrent topics in Phil Sanders's work include Wnt/β-catenin signaling in development and cancer (4 papers), Developmental Biology and Gene Regulation (4 papers) and Pluripotent Stem Cells Research (3 papers). Phil Sanders is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (4 papers), Developmental Biology and Gene Regulation (4 papers) and Pluripotent Stem Cells Research (3 papers). Phil Sanders collaborates with scholars based in United Kingdom, Spain and United States. Phil Sanders's co-authors include Tina Balayo, Alfonso Martínez Arias, Keith Brennan, Penny Hayward, Norbert Perrimon, Ramanuj DasGupta, Silvia Muñoz‐Descalzo, Penelope Hayward, Frederik Wirtz‐Peitz and Josep M. Canals and has published in prestigious journals such as Development, PLoS Biology and Cellular and Molecular Life Sciences.

In The Last Decade

Phil Sanders

10 papers receiving 342 citations

Peers

Phil Sanders

MB

CMN

CB

CR

GENET

Rajnee Agarwal United States

Ana Faro United Kingdom

Zejuan Sheng United States

Megan Rothstein United States

Cécile Saint Cloment France

Huijuan Feng United States

Heather Main Sweden

Anne Holtermann Germany

Katherine Joubin United States

Penny Hayward United Kingdom

Rajnee Agarwal United States

Phil Sanders

214 ×0.7

MB

52 ×0.8

CMN

34 ×1.1

CB

23 ×0.9

CR

30 ×1.5

GENET

Citations per year, relative to Phil Sanders Phil Sanders (= 1×) peers Rajnee Agarwal

Countries citing papers authored by Phil Sanders

Since Specialization

Citations

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

Fields of papers citing papers by Phil Sanders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Sanders

This figure shows the co-authorship network connecting the top 25 collaborators of Phil Sanders. A scholar is included among the top collaborators of Phil Sanders 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 Phil Sanders. Phil Sanders 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

1.

Sanders, Phil, et al.. (2025). CD200-based cell sorting results in homogeneous transplantable striatal neuroblasts for human cell therapy for Huntington's disease. Neurobiology of Disease. 209. 106905–106905.

2.

Miguez, Andrés, Marta Tortajada, Sara Fernández‐García, et al.. (2023). Soluble mutant huntingtin drives early human pathogenesis in Huntington’s disease. Cellular and Molecular Life Sciences. 80(8). 238–238. 17 indexed citations

3.

Orlandi, Javier G., Andrés Miguez, Marco Straccia, et al.. (2020). Human Pluripotent Stem Cell-Derived Neurons Are Functionally Mature In Vitro and Integrate into the Mouse Striatum Following Transplantation. Molecular Neurobiology. 57(6). 2766–2798. 20 indexed citations

4.

Lu, Chuang, Huib Visser, Phil Sanders, et al.. (2017). An Active Ka-Band Shared-Aperture Antenna With 50 dB Isolation for Satellite Communication. IEEE Antennas and Wireless Propagation Letters. 16. 2042–2045. 3 indexed citations

5.

Martín‐Flores, Núria, Laura Rué, Phil Sanders, et al.. (2015). RTP801 Is Involved in Mutant Huntingtin-Induced Cell Death. Molecular Neurobiology. 53(5). 2857–2868. 19 indexed citations

6.

Straccia, Marco, Gerardo Garcia-Díaz Barriga, Phil Sanders, et al.. (2015). Quantitative high-throughput gene expression profiling of human striatal development to screen stem cell–derived medium spiny neurons. Molecular Therapy — Methods & Clinical Development. 2. 15030–15030. 12 indexed citations

7.

Sanders, Phil, James Cotterell, James Sharpe, & Mark Isalan. (2012). Transfecting RNA quadruplexes results in few transcriptome perturbations. RNA Biology. 10(2). 205–210. 5 indexed citations

8.

Muñoz‐Descalzo, Silvia, et al.. (2010). Wingless modulates the ligand independent traffic of Notch through Dishevelled. Fly. 4(3). 182–193. 25 indexed citations

9.

Sanders, Phil, Silvia Muñoz‐Descalzo, Tina Balayo, et al.. (2009). Ligand-Independent Traffic of Notch Buffers Activated Armadillo in Drosophila. PLoS Biology. 7(8). e1000169–e1000169. 53 indexed citations

10.

Langdon, Tim, Penelope Hayward, Keith Brennan, et al.. (2006). Notch receptor encodes two structurally separable functions in Drosophila: A genetic analysis. Developmental Dynamics. 235(4). 998–1013. 22 indexed citations

11.

Hayward, Penny, Keith Brennan, Phil Sanders, et al.. (2005). Notch modulates Wnt signalling by associating with Armadillo/β-catenin and regulating its transcriptional activity. Development. 132(8). 1819–1830. 167 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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