Luke Johnston

470 total citations
14 papers, 213 citations indexed

About

Luke Johnston is a scholar working on Artificial Intelligence, Molecular Biology and Parasitology. According to data from OpenAlex, Luke Johnston has authored 14 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Parasitology. Recurrent topics in Luke Johnston's work include AI in cancer detection (4 papers), Toxoplasma gondii Research Studies (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Luke Johnston is often cited by papers focused on AI in cancer detection (4 papers), Toxoplasma gondii Research Studies (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Luke Johnston collaborates with scholars based in China, United Kingdom and Australia. Luke Johnston's co-authors include Lisa Luu, Janine L. Coombes, Carrie A. Duckworth, Zhangsheng Yu, Catherine Hartley, Barry J. Campbell, Hayley Derricott, Nadine Randle, Jonathan M. Wastling and Stuart D. Armstrong and has published in prestigious journals such as Nature Communications, Advanced Science and Progress in Retinal and Eye Research.

In The Last Decade

Luke Johnston

12 papers receiving 206 citations

Peers

Luke Johnston

ONCOL

PARAS

GENET

Clarissa Read Germany

Emile B. Gordon United States

Christian Weber France

Yue Du China

Ζήνων Ζήνωνος United Kingdom

Rebecca W. Olsen Denmark

Brian Grajeda United States

Nicola Love United Kingdom

Michael Bramhall United Kingdom

Toralf Kaiser Germany

Clarissa Read Germany

Luke Johnston

103 ×1.7

16 ×0.4

ONCOL

14 ×0.4

PARAS

5 ×0.1

GENET

10 ×0.3

Citations per year, relative to Luke Johnston Luke Johnston (= 1×) peers Clarissa Read

Countries citing papers authored by Luke Johnston

Since Specialization

Citations

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

Fields of papers citing papers by Luke Johnston

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Johnston

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

All Works

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14 of 14 papers shown

Cui, Xiaojiang, Jiahui Lin, Cheng Liu, et al.. (2025). AI‐Driven De Novo Design of Ultra Long‐Acting GLP‐1 Receptor Agonists. Advanced Science. 12(40). e07044–e07044.

Duan, Xin, Chris Hong Long Lim, Jianbin Ding, et al.. (2025). Quantitative analysis of conjunctival vascular alterations: Applications in ocular and systemic disease detection. Progress in Retinal and Eye Research. 110. 101416–101416.

Xia, Yujia, Jie Zhou, Luke Johnston, et al.. (2024). Deep learning for oncologic treatment outcomes and endpoints evaluation from CT scans in liver cancer. npj Precision Oncology. 8(1). 263–263. 5 indexed citations

Wang, Yifan, Ting Wei, Luke Johnston, et al.. (2024). Predicting long-term progression of Alzheimer’s disease using a multimodal deep learning model incorporating interaction effects. Journal of Translational Medicine. 22(1). 265–265. 18 indexed citations

Yuan, Xin, Yanran Ma, Ting Wei, et al.. (2024). Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system. Cell Reports Medicine. 5(5). 101536–101536. 17 indexed citations

Johnston, Luke & Zhangsheng Yu. (2023). A novel cost function for nuclei segmentation and classification in imbalanced histopathology data-sets. Computerized Medical Imaging and Graphics. 109. 102296–102296. 2 indexed citations

Johnston, Luke, Eric L. Campbell, Vuk Cerovic, et al.. (2023). A novel in vitro model of the small intestinal epithelium in co-culture with ‘gut-like’ dendritic cells. PubMed. 2(1). kyad018–kyad018. 2 indexed citations

Wei, Ting, Xin Yuan, Luke Johnston, et al.. (2022). Survival prediction of stomach cancer using expression data and deep learning models with histopathological images. Cancer Science. 114(2). 690–701. 11 indexed citations

Wei, Ting, Yuan Zhou, Luke Johnston, et al.. (2021). GapClust is a light-weight approach distinguishing rare cells from voluminous single cell expression profiles. Nature Communications. 12(1). 4197–4197. 19 indexed citations

10.

Luo, Chengwen, et al.. (2021). An Efficient and Easy-to-Use Network-Based Integrative Method of Multi-Omics Data for Cancer Genes Discovery. Frontiers in Genetics. 11. 613033–613033. 8 indexed citations

11.

Johnston, Luke, et al.. (2020). Stem cell‐derived enteroid cultures as a tool for dissecting host‐parasite interactions in the small intestinal epithelium. Parasite Immunology. 43(2). e12765–e12765. 11 indexed citations

12.

Luu, Lisa, Luke Johnston, Hayley Derricott, et al.. (2019). An Open-Format Enteroid Culture System for Interrogation of Interactions Between Toxoplasma gondii and the Intestinal Epithelium. Frontiers in Cellular and Infection Microbiology. 9. 300–300. 29 indexed citations

13.

Derricott, Hayley, Lisa Luu, Catherine Hartley, et al.. (2018). Developing a 3D intestinal epithelium model for livestock species. Cell and Tissue Research. 375(2). 409–424. 77 indexed citations

14.

Rock, Adam J., Jessica Wilson, Luke Johnston, & Janelle Veronica Levesque. (2008). Ego Boundaries, Shamanic‐Like Techniques, and Subjective Experience: An Experimental Study. Anthropology of Consciousness. 19(1). 60–83. 14 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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