James E. Pilling

843 citations
15 papers · 521 · h-index 13

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
    • Pluripotent Stem Cells Research
    • Wnt/β-catenin signaling in development and cancer
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • Microtubule and mitosis dynamics 2
    • Wnt/β-catenin signaling in development and cancer 3
    • Protein Degradation and Inhibitors 2
    • Cancer-related gene regulation 2
    • PI3K/AKT/mTOR signaling in cancer 2

James E. Pilling

15 papers receiving 510 citations

Peers

James E. Pilling
Comparison fields: 5 of 74
  • Biophysics 63
  • Molecular Biology 301
  • Cell Biology 48
  • Oncology 72
  • Biomaterials 38
Replace Gabriel Neiman with:
Gabriel Neiman Argentina
Natalie L. Prigozhina United States
Marc Osterland Germany
Heather J. Wright United States
Alexandra Cretu United States
Usha Nagavarapu United States
Amy L. Howes United States
Nuray Böğürcü Germany
Jessica L. Rennert United States
Tobias Albrecht Germany
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Citations per field
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Citations per year

Countries citing papers authored by James E. Pilling

Since Specialization
Citations

This map shows the geographic impact of James E. 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 E. 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 E. Pilling more than expected).

Fields of papers citing papers by James E. Pilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James E. Pilling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James E. Pilling Line = papers co-authored together James E. Pilling links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2018111
2 202379
3 201664
4 201060
5 201733
6 202227
7 201727
8 202425
9 201619
10 201319
11 201917
12 200816
13 201013
14 20108
15 20203

About James E. Pilling

James E. Pilling is a scholar working on Cell Biology, Molecular Biology, Oncology, Cancer Research and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 521 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (3 papers), Neuroscience and Neural Engineering (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Microtubule and mitosis dynamics (2 papers), Protein Degradation and Inhibitors (2 papers), Cancer-related gene regulation (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Biophysics (63 citations), Molecular Biology (301 citations), Cell Biology (48 citations), Oncology (72 citations) and Biomaterials (38 citations). James E. Pilling has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Amy Pointon, Caroline R. Archer, Thierry Dorval, Christopher E. Pollard, Yinhai Wang, Patrick Joseph O'Shea, Michael L. Sullivan, Edward K. AINSCOW, Simon T. Barry and Peter Ian Croucher. Their work appears in journals such as Molecular Cancer Therapeutics, SLAS DISCOVERY, Toxicology and Applied Pharmacology, Molecular and Cellular Biochemistry and Scientific Reports.

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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