James Pilling

784 total citations
15 papers, 355 citations indexed

About

James Pilling is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, James Pilling has authored 15 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in James Pilling's work include CRISPR and Genetic Engineering (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). James Pilling is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). James Pilling collaborates with scholars based in United Kingdom, Singapore and United States. James Pilling's co-authors include C Archer, Amy Pointon, Thierry Dorval, Yinhai Wang, Christopher E. Pollard, Patrick OʼShea, Michael L. Sullivan, Edward Ainscow, Ilaria Bellantuono and Lucksy Kottam and has published in prestigious journals such as Cancer Research, Scientific Reports and Clinical Cancer Research.

In The Last Decade

James Pilling

14 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Pilling United Kingdom	10	215	86	71	60	41	15	355
Jia‐Jye Lee United States	10	146 0.7×	95 1.1×	103 1.5×	37 0.6×	85 2.1×	11	389
Su Chin Tham Singapore	6	459 2.1×	97 1.1×	209 2.9×	43 0.7×	32 0.8×	6	505
Ignazio Scarlata Italy	7	239 1.1×	37 0.4×	118 1.7×	49 0.8×	28 0.7×	7	379
Katarina Jansson Sweden	14	217 1.0×	26 0.3×	72 1.0×	56 0.9×	25 0.6×	19	547
Claudia Ctortecka United States	10	459 2.1×	189 2.2×	144 2.0×	42 0.7×	42 1.0×	15	634
Sherry Boozer Panama	7	269 1.3×	34 0.4×	168 2.4×	59 1.0×	39 1.0×	7	462
Yumiko Yamamura Japan	6	192 0.9×	45 0.5×	51 0.7×	88 1.5×	12 0.3×	6	356
Talita Miguel Marin Brazil	8	335 1.6×	47 0.5×	36 0.5×	61 1.0×	128 3.1×	14	505
Petra Hautvast Germany	8	234 1.1×	97 1.1×	28 0.4×	29 0.5×	19 0.5×	12	405

Countries citing papers authored by James Pilling

Since Specialization

Citations

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

Fields of papers citing papers by James Pilling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Pilling

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

All Works

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15 of 15 papers shown

Pilling, James, et al.. (2024). An image-based screen for secreted proteins involved in breast cancer G0 cell cycle arrest. Scientific Data. 11(1). 868–868.

Pfeifer, Matthias, Jonathan Brammeld, Stacey Price, et al.. (2021). Abstract P066: Gain and loss of function genome-wide CRISPR screens identify Hippo signalling as an important driver of resistance in EGFR mutant lung cancer. Molecular Cancer Therapeutics. 20(12_Supplement). P066–P066. 1 indexed citations

Pfeifer, Matthias, Jonathan Brammeld, Stacey Price, et al.. (2021). Abstract 1100: Gain and loss of function genome-wide CRISPR screens identify Hippo signaling as an important driver of resistance in EGFR mutant lung cancer. Cancer Research. 81(13_Supplement). 1100–1100. 1 indexed citations

OʼShea, Patrick, Jan Wildenhain, Chetana M. Revankar, et al.. (2020). A Novel Screening Approach for the Dissection of Cellular Regulatory Networks of NF-κB Using Arrayed CRISPR gRNA Libraries. SLAS DISCOVERY. 25(6). 618–633. 1 indexed citations

Floc’h, Nicolas, Susan Ashton, Douglas Ferguson, et al.. (2019). Modeling Dose and Schedule Effects of AZD2811 Nanoparticles Targeting Aurora B Kinase for Treatment of Diffuse Large B-cell Lymphoma. Molecular Cancer Therapeutics. 18(5). 909–919. 16 indexed citations

Archer, C, et al.. (2018). Characterization and Validation of a Human 3D Cardiac Microtissue for the Assessment of Changes in Cardiac Pathology. Scientific Reports. 8(1). 10160–10160. 99 indexed citations

Floc’h, Nicolas, Susan Ashton, Paula Taylor, et al.. (2017). Optimizing Therapeutic Effect of Aurora B Inhibition in Acute Myeloid Leukemia with AZD2811 Nanoparticles. Molecular Cancer Therapeutics. 16(6). 1031–1040. 29 indexed citations

Lynch, James T., Urszula M. Polanska, Oona Delpuech, et al.. (2017). Inhibiting PI3Kβ with AZD8186 Regulates Key Metabolic Pathways in PTEN-Null Tumors. Clinical Cancer Research. 23(24). 7584–7595. 24 indexed citations

Pointon, Amy, James Pilling, Thierry Dorval, et al.. (2016). From the Cover: High-Throughput Imaging of Cardiac Microtissues for the Assessment of Cardiac Contraction during Drug Discovery. Toxicological Sciences. 155(2). 444–457. 56 indexed citations

10.

Strauss, Juliette A., Christopher S. Shaw, Helen Bradley, et al.. (2016). Immunofluorescence microscopy of SNAP23 in human skeletal muscle reveals colocalization with plasma membrane, lipid droplets, and mitochondria. Physiological Reports. 4(1). e12662–e12662. 18 indexed citations

11.

Gilmour, Peter S., Patrick OʼShea, Malbinder Fagura, et al.. (2013). Human stem cell osteoblastogenesis mediated by novel glycogen synthase kinase 3 inhibitors induces bone formation and a unique bone turnover biomarker profile in rats. Toxicology and Applied Pharmacology. 272(2). 399–407. 19 indexed citations

12.

Pilling, James, Helen Garside, & Edward Ainscow. (2010). Development of a quantitative 96-well method to image glycogen storage in primary rat hepatocytes. Molecular and Cellular Biochemistry. 341(1-2). 73–78. 8 indexed citations

13.

Thong, Bob, James Pilling, Edward Ainscow, Raj K. Beri, & John Unitt. (2010). Development and Validation of a Simple Cell-Based Fluorescence Assay for Dipeptidyl Peptidase 1 (DPP1) Activity. SLAS DISCOVERY. 16(1). 36–43. 11 indexed citations

14.

Nagaraju, Chandan K., Patrick OʼShea, Sindhu T. Mohanty, et al.. (2010). Glycogen synthase kinase-3α/β inhibition promotes in vivo amplification of endogenous mesenchymal progenitors with osteogenic and adipogenic potential and their differentiation to the osteogenic lineage. Journal of Bone and Mineral Research. 26(4). 811–821. 56 indexed citations

15.

Ainscow, Edward, James Pilling, Michael L. Sullivan, et al.. (2008). Investigations into the liver effects of ximelagatran using high content screening of primary human hepatocyte cultures. Expert Opinion on Drug Safety. 7(4). 351–365. 16 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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