Jason H. Moore

Active 1975–2026

559
Papers
40,622
Citations
100
h-index
324
i10-index

Citations

Citations per year for Jason H. Moore1905: 1 citations1963: 1 citations1968: 1 citations1970: 1 citations1974: 1 citations1976: 2 citations1977: 1 citations1978: 1 citations1979: 1 citations1980: 1 citations1981: 1 citations1982: 3 citations1983: 2 citations1985: 4 citations1986: 2 citations1988: 4 citations1989: 1 citations1990: 1 citations1992: 1 citations1993: 6 citations1994: 10 citations1995: 6 citations1996: 19 citations1997: 14 citations1998: 16 citations1999: 14 citations2000: 19 citations2001: 19 citations2002: 43 citations2003: 80 citations2004: 172 citations2005: 286 citations2006: 310 citations2007: 362 citations2008: 395 citations2009: 403 citations2010: 598 citations2011: 507 citations2012: 502 citations2013: 618 citations2014: 534 citations2015: 536 citations2016: 537 citations2017: 628 citations2018: 673 citations2019: 1,186 citations2020: 1,251 citations2021: 1,323 citations2022: 1,164 citations2023: 977 citations2024: 1,346 citations2025: 984 citations2026: 222 citations1906–1962: no citations, so these years are not shown1964–1967: no citations, so these years are not shown1969: no citations, so this year is not shown1971–1973: no citations, so these years are not shown1975: no citations, so this year is not shown1984: no citations, so this year is not shown1987: no citations, so this year is not shown1991: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,873 citing papers, 27% of this breakdownChina: 1,506 citing papers, 8.4% of this breakdownUnited Kingdom: 1,226 citing papers, 6.8% of this breakdownGermany: 898 citing papers, 5% of this breakdownCanada: 644 citing papers, 3.6% of this breakdownFrance: 565 citing papers, 3.1% of this breakdownItaly: 562 citing papers, 3.1% of this breakdownAustralia: 553 citing papers, 3.1% of this breakdownSpain: 495 citing papers, 2.7% of this breakdownNetherlands: 483 citing papers, 2.7% of this breakdownIndia: 325 citing papers, 1.8% of this breakdownJapan: 300 citing papers, 1.7% of this breakdown
0%27%Other 31%

Fields

  • Biochemistry, Genetics and Molecular Biology36%
  • Computer Science23.6%
  • Medicine20.9%
  • Neuroscience3%
  • Engineering2.4%
  • Environmental Science1.5%
  • Other12.6%

Topics

  • Genetic Associations and Epidemiology4.9%
  • Bioinformatics and Genomic Networks3.5%
  • Evolutionary Algorithms and Applications2.6%
  • Gene expression and cancer classification2.5%
  • Metaheuristic Optimization Algorithms Research2.2%
  • Machine Learning and Data Classification1.9%
  • Other82.4%

Coauthors

All papers

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  1. ChatGPT and large language models in academia: opportunities and challenges

    Authors: , , , , , , , , , , - BioData Mining, BioData Min. 2023 cited by 539

  2. Contemporary Symbolic Regression Methods and their Relative Performance

    Authors: , , , , , , , - NeurIPS Datasets and Benchmarks 2021 cited by 418

  3. PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

    Authors: , , , , - BioData Mining, BioData Min. 2017 cited by 359

  4. Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

    Authors: , , , - Genetic and Evolutionary Computation Conference 2016, GECCO 2016 cited by 571

  5. Scaling tree-based automated machine learning to biomedical big data with a feature set selector

    Authors: , , - Bioinformatics, Bioinform. 2019 cited by 468

  6. A manifesto on explainability for artificial intelligence in medicine

    Authors: , , , , , , - Artificial Intelligence in Medicine, Artif. Intell. Medicine 2022 cited by 151

  7. TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning

    Authors: , - ˜The œSpringer series on challenges in machine learning, AutoML@ICML 2016 cited by 712

  8. KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models

    Authors: , , , , , , - Bioinformatics, Bioinform. 2024 cited by 88

  9. Benchmarking in Optimization: Best Practice and Open Issues

    Authors: , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2020 cited by 119

  10. Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

    Authors: , , , , , , , , , , - European Heart Journal 2022 cited by 134

  11. Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Minghui Wu, Daniel Traum, Ayano Kondo, Catherine Lee May, Naomi Goldman, Wenliang Wang, Michael D. Feldman, Jason H. Moore, Alberto Sada Japp, Michael R. Betts, Robert B. Faryabi, Ali Naji, Klaus H. Kaestner, Golnaz Vahedi, Robert B. Faryabi, Ali Naji, Klaus H. Kaestner, Golnaz Vahedi - Nature Metabolism 2022 cited by 201

  12. Artificial intelligence: revolutionizing cardiology with large language models

    Authors: , , , , - European Heart Journal 2024 cited by 104

  13. Multiple Plasma Biomarkers for Risk Stratification in Patients With Heart Failure and Preserved Ejection Fraction

    Authors: , , , , , , , , , , , , , , , , , , - Journal of the American College of Cardiology 2020 cited by 215

  14. Why Is the Electronic Health Record So Challenging for Research and Clinical Care?

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Methods of Information in Medicine 2021 cited by 114

  15. The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adenocarcinoma patients

    Authors: , , , , , , , , , , , , , - Nature Cancer 2024 cited by 83

  16. PMLB v1.0: an open source dataset collection for benchmarking machine learning methods

    Authors: , , , , , , , , , - Bioinformatics, Bioinform. 2020 cited by 58

  17. Chapter 11: Genome-Wide Association Studies

    Authors: , - PLoS Computational Biology, PLoS Comput. Biol. 2012 cited by 1,217

  18. Learning Classifier Systems: A Complete Introduction, Review, and Roadmap

    Authors: , - Journal of Artificial Evolution and Applications 2009 cited by 303

  19. Missing heritability and strategies for finding the underlying causes of complex disease

    Authors: , , , , , , - Nature Reviews Genetics 2010 cited by 1,753

  20. The Genetic Structure and History of Africans and African Americans

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Science 2009 cited by 1,604

  21. Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans

    Authors: , , , , , , , , , , , , , , , , , , - Alzheimer s & Dementia 2010 cited by 456

  22. The Cosmos Collaborative: A Vendor-Facilitated Electronic Health Record Data Aggregation Platform

    Authors: , , , , , , - ACI Open 2021 cited by 111

  23. Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras

    Authors: , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 29

  24. Automating Biomedical Data Science Through Tree-Based Pipeline Optimization

    Authors: , , , , , - Lecture notes in computer science, EvoApplications (1) 2016 cited by 317