Robert J. Gillies

905 total papers · 80.1k total citations
515 papers, 56.6k citations indexed

About

Robert J. Gillies is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cancer Research. According to data from OpenAlex, Robert J. Gillies has authored 515 papers receiving a total of 56.6k indexed citations (citations by other indexed papers that have themselves been cited), including 226 papers in Radiology, Nuclear Medicine and Imaging, 181 papers in Molecular Biology and 126 papers in Cancer Research. Recurrent topics in Robert J. Gillies's work include Radiomics and Machine Learning in Medical Imaging (139 papers), Cancer, Hypoxia, and Metabolism (93 papers) and Lung Cancer Diagnosis and Treatment (66 papers). Robert J. Gillies is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (139 papers), Cancer, Hypoxia, and Metabolism (93 papers) and Lung Cancer Diagnosis and Treatment (66 papers). Robert J. Gillies collaborates with scholars based in United States, China and Australia. Robert J. Gillies's co-authors include Robert A. Gatenby, Paul E. Kinahan, Hedvig Hricak, Hugo J.W.L. Aerts, André Dekker, Natarajan Raghunand, Philippe Lambin, Ralph T. H. Leijenaar, Sara Carvalho and Jonathan W. Wojtkowiak and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert J. Gillies

513 papers receiving 55.7k citations

Hit Papers

Radiomics: Images Are Mor... 1986 2026 1999 2012 2015 2012 2004 2014 2012 1000 2.0k 3.0k 4.0k 5.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Radiomics: Images Are More than Pictures, They Are Data
    2015 5.7k citations Robert J. Gillies, Paul E. Kinahan et al. Radiology profile →
  2. Radiomics: Extracting more information from medical images using advanced feature analysis
    2012 4.1k citations Philippe Lambin, Ralph T. H. Leijenaar et al. European Journal of Cancer profile →
  3. Why do cancers have high aerobic glycolysis?
    2004 3.9k citations Robert A. Gatenby, Robert J. Gillies Nature reviews. Cancer profile →
  4. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
    2014 3.6k citations Hugo J.W.L. Aerts, Emmanuel Rios Velazquez et al. Nature Communications profile →
  5. Radiomics: the process and the challenges
    2012 1.6k citations Virendra Kumar, Yuhua Gu et al. Magnetic Resonance Imaging profile →
  6. Artificial intelligence in cancer imaging: Clinical challenges and applications
    2019 1.2k citations Wenya Linda Bi, Ahmed Hosny et al. CA A Cancer Journal for Clinicians profile →
  7. Acidity Generated by the Tumor Microenvironment Drives Local Invasion
    2013 1.1k citations Verónica Estrella, Tingan Chen et al. Cancer Research profile →
  8. Acid-Mediated Tumor Invasion: a Multidisciplinary Study
    2006 599 citations Robert A. Gatenby, Robert J. Gillies et al. Cancer Research profile →
  9. Determination of cell number in monolayer cultures
    1986 593 citations Robert J. Gillies et al. Analytical Biochemistry profile →
  10. Repeatability and Reproducibility of Radiomic Features: A Systematic Review
    2018 573 citations Alberto Traverso, Leonard Wee et al. International Journal of Radiation Oncology*Biology*Physics profile →
  11. A microenvironmental model of carcinogenesis
    2007 564 citations Robert A. Gatenby, Robert J. Gillies Nature reviews. Cancer profile →
  12. Adaptive Therapy
    2009 547 citations Robert A. Gatenby, Ariosto S. Silva et al. Cancer Research profile →
  13. Bicarbonate Increases Tumor pH and Inhibits Spontaneous Metastases
    2009 522 citations Ian Robey, Brenda Baggett et al. Cancer Research profile →
  14. Tumor pH and Its Measurement
    2010 519 citations Xiaomeng Zhang, Yuxiang Lin et al. Journal of Nuclear Medicine profile →
  15. Evolutionary dynamics of carcinogenesis and why targeted therapy does not work
    2012 497 citations Robert J. Gillies, Daniel Verduzco et al. Nature reviews. Cancer profile →
  16. Neutralization of Tumor Acidity Improves Antitumor Responses to Immunotherapy
    2016 465 citations Shari Pilon‐Thomas, Asmaa El-Kenawi et al. Cancer Research profile →
  17. Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
    2017 442 citations M. Shafiq Hassan, Geoffrey Zhang et al. Medical Physics profile →
  18. Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
    2018 396 citations Ahmed Hosny, Chintan Parmar et al. PLoS Medicine profile →
  19. The Biological Meaning of Radiomic Features
    2021 352 citations Michal R. Tomaszewski, Robert J. Gillies Radiology profile →
  20. The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
    2015 325 citations Ralph T. H. Leijenaar, Georgi Nalbantov et al. Scientific Reports profile →
  21. The role of carbonic anhydrase IX in cancer development: links to hypoxia, acidosis, and beyond
    2019 305 citations Silvia Pastoreková, Robert J. Gillies Cancer and Metastasis Reviews profile →
  22. Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
    2017 302 citations Emmanuel Rios Velazquez, Chintan Parmar et al. Cancer Research profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert J. Gillies 27.7k 15.6k 12.0k 11.5k 10.9k 515 56.6k
Peter L. Choyke 19.0k 0.7× 13.6k 0.9× 32.3k 2.7× 5.8k 0.5× 13.2k 1.2× 1.1k 64.1k
Philippe Lambin 29.5k 1.1× 5.3k 0.3× 17.4k 1.5× 4.6k 0.4× 8.3k 0.8× 718 46.2k
Lawrence H. Schwartz 16.4k 0.6× 5.9k 0.4× 20.5k 1.7× 6.3k 0.5× 3.0k 0.3× 394 51.6k
Ralph Weissleder 22.3k 0.8× 45.8k 2.9× 9.8k 0.8× 10.8k 0.9× 35.9k 3.3× 1.1k 117.6k
Philip W. Kantoff 4.9k 0.2× 16.9k 1.1× 22.7k 1.9× 8.3k 0.7× 4.7k 0.4× 617 48.0k
Robert A. Gatenby 5.6k 0.2× 11.1k 0.7× 3.5k 0.3× 10.2k 0.9× 3.4k 0.3× 335 26.8k
Mithat Gönen 8.5k 0.3× 8.0k 0.5× 19.3k 1.6× 5.8k 0.5× 3.1k 0.3× 780 60.4k
Sanjiv S. Gambhir 14.3k 0.5× 24.1k 1.5× 6.1k 0.5× 3.8k 0.3× 24.9k 2.3× 712 65.5k
Andreas von Deimling 7.4k 0.3× 22.6k 1.4× 10.4k 0.9× 13.1k 1.1× 2.7k 0.2× 651 59.0k
Daniel F. Hayes 5.8k 0.2× 12.9k 0.8× 9.5k 0.8× 20.8k 1.8× 3.0k 0.3× 411 46.2k

Countries citing papers authored by Robert J. Gillies

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Gillies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Gillies. 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 Robert J. Gillies. The network helps show where Robert J. Gillies may publish in the future.

Co-authorship network of co-authors of Robert J. Gillies

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

All Works

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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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