David Shorthouse

1.2k total citations
30 papers, 731 citations indexed

About

David Shorthouse is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, David Shorthouse has authored 30 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Biomedical Engineering. Recurrent topics in David Shorthouse's work include Protein Structure and Dynamics (3 papers), 3D Printing in Biomedical Research (3 papers) and Epigenetics and DNA Methylation (3 papers). David Shorthouse is often cited by papers focused on Protein Structure and Dynamics (3 papers), 3D Printing in Biomedical Research (3 papers) and Epigenetics and DNA Methylation (3 papers). David Shorthouse collaborates with scholars based in United Kingdom, United States and France. David Shorthouse's co-authors include Mark S.P. Sansom, Heidi Koldsø, Benjamin A. Hall, Jean Hélie, Jacqueline D. Shields, Angela Riedel, Lisa Haas, George Hedger, Elizabeth E. Jefferys and Matthieu Chavent and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

David Shorthouse

27 papers receiving 727 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 Shorthouse United Kingdom 13 480 153 103 92 73 30 731
Zhe Zhou China 12 761 1.6× 125 0.8× 53 0.5× 49 0.5× 146 2.0× 19 1.0k
Makoto Nakakido Japan 19 876 1.8× 118 0.8× 126 1.2× 87 0.9× 65 0.9× 81 1.2k
Sheila S. Teves United States 12 1.3k 2.6× 180 1.2× 53 0.5× 91 1.0× 81 1.1× 20 1.6k
Qingshan Fu China 16 569 1.2× 86 0.6× 174 1.7× 40 0.4× 60 0.8× 32 868
A.H. Aguda Canada 11 374 0.8× 74 0.5× 38 0.4× 86 0.9× 237 3.2× 18 665
Glen B. Legge United States 15 661 1.4× 98 0.6× 244 2.4× 79 0.9× 118 1.6× 19 1.0k
Henry E. Pelish United States 10 594 1.2× 130 0.8× 84 0.8× 44 0.5× 208 2.8× 22 913
De‐Min Zhu United States 16 425 0.9× 82 0.5× 235 2.3× 38 0.4× 95 1.3× 22 813
Mark J. Demma United States 13 778 1.6× 261 1.7× 39 0.4× 64 0.7× 242 3.3× 15 1.0k
Andreas Maiser Germany 19 1.2k 2.5× 117 0.8× 392 3.8× 90 1.0× 99 1.4× 24 1.5k

Countries citing papers authored by David Shorthouse

Since Specialization
Citations

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

Fields of papers citing papers by David Shorthouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Shorthouse

This figure shows the co-authorship network connecting the top 25 collaborators of David Shorthouse. A scholar is included among the top collaborators of David Shorthouse 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 Shorthouse. David Shorthouse 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.
Cook, Michael T., et al.. (2026). Artificial intelligence and machine learning guided optimization in drug delivery. Advanced Drug Delivery Reviews. 232. 115781–115781.
2.
Abdalla, Youssef, et al.. (2025). Efficient discovery of new medicine formulations using a semi-self-driven robotic formulator. Digital Discovery. 4(8). 2263–2272. 1 indexed citations
3.
Bradshaw, Tracey D., Weng C. Chan, Felicity de Cogan, et al.. (2025). Drug delivery strategies for paediatric diffuse midline gliomas. Advanced Drug Delivery Reviews. 226. 115695–115695.
4.
Abdalla, Youssef, Martin Ferianc, Atheer Awad, et al.. (2025). A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations. Advanced Intelligent Systems. 7(11). 2 indexed citations
5.
Lewis, Andrew R., et al.. (2025). Convection-enhanced delivery for brain malignancies: Technical parameters, formulation strategies and clinical perspectives. Advanced Drug Delivery Reviews. 224. 115657–115657. 2 indexed citations
6.
Abdalla, Youssef, et al.. (2024). Optimising the production of PLGA nanoparticles by combining design of experiment and machine learning. International Journal of Pharmaceutics. 667(Pt A). 124905–124905. 17 indexed citations
7.
Abdalla, Youssef, Laura E. McCoubrey, Yannick Guinet, et al.. (2024). Machine learning of Raman spectra predicts drug release from polysaccharide coatings for targeted colonic delivery. Journal of Controlled Release. 374. 103–111. 16 indexed citations
8.
Shorthouse, David, et al.. (2024). Understanding large scale sequencing datasets through changes to protein folding. Briefings in Functional Genomics. 23(5). 517–524.
9.
Cook, Michael T. & David Shorthouse. (2024). Reconceptualising mucoadhesion for future medicines. 1(5). 949–957. 3 indexed citations
10.
Abdalla, Youssef, Laura E. McCoubrey, David Shorthouse, et al.. (2024). Exploring the interactions of JAK inhibitor and S1P receptor modulator drugs with the human gut microbiome: Implications for colonic drug delivery and inflammatory bowel disease. European Journal of Pharmaceutical Sciences. 200. 106845–106845. 5 indexed citations
11.
Hall, Benjamin A., et al.. (2024). Interpreting the effect of mutations to protein binding sites from large-scale genomic screens. Methods. 222. 122–132. 1 indexed citations
12.
Hall, Michael, et al.. (2023). Mutations observed in somatic evolution reveal underlying gene mechanisms. Communications Biology. 6(1). 753–753. 4 indexed citations
13.
Foley, Kieran, David Shorthouse, Eric P. Rahrmann, et al.. (2023). SMAD4 and KCNQ3 alterations are associated with lymph node metastases in oesophageal adenocarcinoma. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(1). 166867–166867. 1 indexed citations
14.
Shorthouse, David, Lizhe Zhuang, Eric P. Rahrmann, et al.. (2023). KCNQ potassium channels modulate Wnt activity in gastro-oesophageal adenocarcinomas. Life Science Alliance. 6(12). e202302124–e202302124. 4 indexed citations
15.
Rahrmann, Eric P., David Shorthouse, Mariaestela Ortiz, et al.. (2022). The NALCN channel regulates metastasis and nonmalignant cell dissemination. Nature Genetics. 54(12). 1827–1838. 38 indexed citations
16.
Shorthouse, David, et al.. (2022). HOXA9 has the hallmarks of a biological switch with implications in blood cancers. Nature Communications. 13(1). 5829–5829. 9 indexed citations
17.
Shorthouse, David, Michael Hall, & Benjamin A. Hall. (2021). Computational Saturation Screen Reveals the Landscape of Mutations in Human Fumarate Hydratase. Journal of Chemical Information and Modeling. 61(4). 1970–1980. 13 indexed citations
18.
Turrell, Frances K., Emma Kerr, Meiling Gao, et al.. (2017). Lung tumors with distinct p53 mutations respond similarly to p53 targeted therapy but exhibit genotype-specific statin sensitivity. Genes & Development. 31(13). 1339–1353. 56 indexed citations
19.
Riedel, Angela, David Shorthouse, Lisa Haas, Benjamin A. Hall, & Jacqueline D. Shields. (2016). Tumor-induced stromal reprogramming drives lymph node transformation. Nature Immunology. 17(9). 1118–1127. 134 indexed citations
20.
Hedger, George, David Shorthouse, Heidi Koldsø, & Mark S.P. Sansom. (2016). Free Energy Landscape of Lipid Interactions with Regulatory Binding Sites on the Transmembrane Domain of the EGF Receptor. The Journal of Physical Chemistry B. 120(33). 8154–8163. 50 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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