Gary M. Shaw

Active 1984–2025

202
Papers
25,783
Citations
96
h-index
193
i10-index

Citations

Citations per year for Gary M. Shaw1973: 1 citations1984: 7 citations1985: 7 citations1986: 9 citations1987: 5 citations1988: 8 citations1989: 2 citations1990: 3 citations1991: 8 citations1992: 3 citations1993: 11 citations1994: 7 citations1995: 20 citations1996: 40 citations1997: 41 citations1998: 60 citations1999: 82 citations2000: 105 citations2001: 89 citations2002: 108 citations2003: 155 citations2004: 122 citations2005: 105 citations2006: 134 citations2007: 155 citations2008: 159 citations2009: 197 citations2010: 141 citations2011: 134 citations2012: 113 citations2013: 122 citations2014: 142 citations2015: 136 citations2016: 120 citations2017: 152 citations2018: 200 citations2019: 708 citations2020: 769 citations2021: 796 citations2022: 649 citations2023: 439 citations2024: 683 citations2025: 293 citations2026: 9 citations1974–1983: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,932 citing papers, 32.9% of this breakdownUnited Kingdom: 686 citing papers, 7.7% of this breakdownChina: 610 citing papers, 6.8% of this breakdownCanada: 400 citing papers, 4.5% of this breakdownAustralia: 295 citing papers, 3.3% of this breakdownFrance: 254 citing papers, 2.8% of this breakdownGermany: 253 citing papers, 2.8% of this breakdownItaly: 228 citing papers, 2.6% of this breakdownNetherlands: 212 citing papers, 2.4% of this breakdownSweden: 196 citing papers, 2.2% of this breakdownDenmark: 178 citing papers, 2% of this breakdownSpain: 161 citing papers, 1.8% of this breakdown
0%32.9%Other 28.2%

Fields

  • Medicine53.3%
  • Biochemistry, Genetics and Molecular Biology20.1%
  • Immunology and Microbiology10.6%
  • Environmental Science4%
  • Health Professions1.8%
  • Nursing1.7%
  • Other8.5%

Topics

  • Folate and B Vitamins Research4.8%
  • Pregnancy and preeclampsia studies3.8%
  • Gestational Diabetes Research and Management2.8%
  • Gut microbiota and health2.6%
  • Birth, Development, and Health2.4%
  • Reproductive tract infections research2.3%
  • Other81.3%

Coauthors

All papers

Open in search
  1. Temporal and spatial variation of the human microbiota during pregnancy

    Authors: , , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2015 cited by 1,206

  2. Early prediction of preeclampsia in pregnancy with cell-free RNA

    Authors: , , , , , , , , , , , , , , , , - Nature 2022 cited by 249

  3. An immune clock of human pregnancy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Science Immunology 2017 cited by 517

  4. Early prediction of preeclampsia via machine learning

    Authors: , , , , , , - American Journal of Obstetrics & Gynecology MFM 2020 cited by 140

  5. Replication and refinement of a vaginal microbial signature of preterm birth in two racially distinct cohorts of US women

    Authors: , , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2017 cited by 417

  6. Spina bifida

    Authors: , , , , , - Nature Reviews Disease Primers 2015 cited by 652

  7. Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , David B. Lewis, Vahid Partovi Nia, Bruno Agard, Robert Tibshirani, Garry P. Nolan, Michael P. Snyder, David A. Relman, Stephen R. Quake, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour - Bioinformatics, Bioinform. 2018 cited by 197

  8. Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Brendan Carvalho, M Snyder, Gary M. Shaw, David K. Stevenson, Kévin Contrepois, Martin S. Angst, Nima Aghaeepour, Brice Gaudillière - Science Translational Medicine 2021 cited by 143

  9. Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nima Aghaeepour - Nature Machine Intelligence, Nat. Mach. Intell. 2020 cited by 84

  10. Metagenomic analysis with strain-level resolution reveals fine-scale variation in the human pregnancy microbiome

    Authors: , , , , , , , , , , - Genome Research 2018 cited by 160

  11. Substantial Cardiovascular Morbidity in Adults With Lower-Complexity Congenital Heart Disease

    Authors: , , , , , , , , , , , , - Circulation 2019 cited by 131

  12. Large-scale correlation network construction for unraveling the coordination of complex biological systems

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Computational Science, Nat. Comput. Sci. 2023 cited by 33

  13. The Continuing Challenge of Understanding, Preventing, and Treating Neural Tube Defects

    Authors: , , , - Science 2013 cited by 484

  14. Noninvasive blood tests for fetal development predict gestational age and preterm delivery

    Authors: , , , , , , , , , , , , , , , , , - Science 2018 cited by 270

  15. Association of Paternal Age With Perinatal Outcomes Between 2007 and 2016 in the United States: Population-based Cohort Study

    Authors: , , , , , - BMJ 2018 cited by 203

  16. Explaining the Black-White Disparity in Preterm Birth: A Consensus Statement From a Multi-Disciplinary Scientific Work Group Convened by the March of Dimes

    Authors: , , , , , , , , , , , , , , , , , , , , , - Frontiers in Reproductive Health 2021 cited by 182

  17. Multiomic immune clockworks of pregnancy

    Authors: , , , , , , , , , , , , , , , , , , , - Seminars in Immunopathology 2020 cited by 84

  18. A machine learning approach to leveraging electronic health records for enhanced omics analysis

    Authors: , , , , , , , , , , , , , , , , , , , - Nature Machine Intelligence, Nat. Mac. Intell. 2025 cited by 42

  19. Residential Agricultural Pesticide Exposures and Risk of Neural Tube Defects and Orofacial Clefts Among Offspring in the San Joaquin Valley of California

    Authors: , , , , , , - American Journal of Epidemiology 2014 cited by 194

  20. Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Fahad Aftab, Abdul Quaiyum, Alexander Manu, Sachiyo Yoshida, Rajiv Bahl, Anisur Rahman, Jesmin Pervin, Jennifer Winston, Patrick Musonda, Jeffrey S. A. Stringer, James A. Litch, Mohammad Sajjad Ghaemi, Mira N. Moufarrej, Kévin Contrepois, Songjie Chen, Ina A. Stelzer, Natalie Stanley, Alan L. Chang, Ghaith Bany Hammad, Ronald J. Wong, Candace Liu, Cecele C. Quaintance, Anthony Culos, Camilo Espinosa, Maria Xenochristou, Martin Becker, Ramin Fallahzadeh, Edward A. Ganio, Amy S. Tsai, Dyani Gaudillière, Eileen S. Tsai, Xiaoyuan Han, Kazuo Ando, Martha Tingle, Ivana Marić, Paul H. Wise, Virginia D. Winn, Maurice L. Druzin, Ronald S. Gibbs, Gary L. Darmstadt, Jeffrey C. Murray, Gary M. Shaw, David K. Stevenson, M Snyder, Stephen R. Quake, Martin S. Angst, Brice Gaudillière, Nima Aghaeepour - JAMA Network Open 2020 cited by 105

  21. Differential Dynamics of the Maternal Immune System in Healthy Pregnancy and Preeclampsia

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Frontiers in Immunology 2019 cited by 105

  22. Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women

    Authors: , , , , , , - Annals of Epidemiology 2018 cited by 80

  23. Preconception Antidiabetic Drugs in Men and Birth Defects in Offspring

    Authors: , , , , , , , , , - Annals of Internal Medicine 2022 cited by 74

  24. Proteomic signatures predict preeclampsia in individual cohorts but not across cohorts – implications for clinical biomarker studies

    Authors: , , , , , , , , , , , , , , , , , , , , , - The Journal of Maternal-Fetal & Neonatal Medicine 2021 cited by 42