Paul Newbold

Active 1973–2024

53
Papers
19,599
Citations
45
h-index
53
i10-index

Citations

Citations per year for Paul Newbold1937: 1 citations1973: 1 citations1974: 4 citations1976: 4 citations1977: 7 citations1978: 16 citations1979: 7 citations1980: 7 citations1981: 5 citations1982: 7 citations1983: 8 citations1984: 7 citations1985: 7 citations1986: 20 citations1987: 5 citations1988: 13 citations1989: 8 citations1990: 11 citations1991: 12 citations1992: 18 citations1993: 23 citations1994: 13 citations1995: 13 citations1996: 24 citations1997: 21 citations1998: 27 citations1999: 27 citations2000: 30 citations2001: 39 citations2002: 19 citations2003: 33 citations2004: 54 citations2005: 40 citations2006: 54 citations2007: 39 citations2008: 37 citations2009: 51 citations2010: 56 citations2011: 54 citations2012: 50 citations2013: 49 citations2014: 45 citations2015: 47 citations2016: 41 citations2017: 49 citations2018: 95 citations2019: 259 citations2020: 336 citations2021: 343 citations2022: 302 citations2023: 223 citations2024: 315 citations2025: 199 citations2026: 15 citations1938–1972: no citations, so these years are not shown1975: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 967 citing papers, 21.4% of this breakdownUnited Kingdom: 512 citing papers, 11.3% of this breakdownChina: 261 citing papers, 5.8% of this breakdownItaly: 258 citing papers, 5.7% of this breakdownGermany: 201 citing papers, 4.5% of this breakdownCanada: 195 citing papers, 4.3% of this breakdownSpain: 176 citing papers, 3.9% of this breakdownAustralia: 157 citing papers, 3.5% of this breakdownFrance: 146 citing papers, 3.2% of this breakdownNetherlands: 115 citing papers, 2.6% of this breakdownBelgium: 109 citing papers, 2.4% of this breakdownJapan: 99 citing papers, 2.2% of this breakdown
0%21.4%Other 29.2%

Fields

  • Medicine35.9%
  • Economics, Econometrics and Finance17%
  • Decision Sciences9.8%
  • Computer Science8.2%
  • Biochemistry, Genetics and Molecular Biology5.8%
  • Business, Management and Accounting4.2%
  • Other19.1%

Topics

  • Asthma and respiratory diseases9.6%
  • Chronic Obstructive Pulmonary Disease (COPD) Research4.2%
  • Monetary Policy and Economic Impact3.3%
  • Stock Market Forecasting Methods3.1%
  • Forecasting Techniques and Applications3%
  • Respiratory and Cough-Related Research2.8%
  • Other74%

Coauthors

All papers

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  1. Testing the equality of prediction mean squared errors

    Authors: , , - International Journal of Forecasting 1997 cited by 1,996

  2. Benralizumab for the Prevention of COPD Exacerbations

    Authors: , , , , , , , , , , , , , , , , , , , , , - New England Journal of Medicine 2019 cited by 331

  3. Predictors of enhanced response with benralizumab for patients with severe asthma: pooled analysis of the SIROCCO and CALIMA studies

    Authors: , , , , , , , - The Lancet Respiratory Medicine 2017 cited by 317

  4. ARIMA model building and the time series analysis approach to forecasting

    Authors: - Journal of Forecasting 1983 cited by 200

  5. Benralizumab for PDGFRA -Negative Hypereosinophilic Syndrome

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - New England Journal of Medicine 2019 cited by 215

  6. Baseline patient factors impact on the clinical efficacy of benralizumab for severe asthma

    Authors: , , , , , , , , - European Respiratory Journal 2018 cited by 247

  7. Spurious regressions in econometrics

    Authors: , - Journal of Econometrics 1974 cited by 6,192

  8. Type 2 inflammation in eosinophilic chronic obstructive pulmonary disease

    Authors: , , , , , , , , , , , - Allergy 2020 cited by 76

  9. Novel mechanisms of action contributing to benralizumab's potent anti-eosinophilic activity

    Authors: , , , , , , , , - European Respiratory Journal 2021 cited by 63

  10. Efficacy and Safety of MEDI2070, an Antibody Against Interleukin 23, in Patients With Moderate to Severe Crohn’s Disease: A Phase 2a Study

    Authors: , , , , , , , , , , , , , , , , - Gastroenterology 2017 cited by 277

  11. The Alpha du Centaur environment

    Authors: , , , , , , , - Journal of Allergy and Clinical Immunology, Algorithms and Parallel VLSI Architectures 1991 cited by 111

  12. Predicting response to benralizumab in chronic obstructive pulmonary disease: analyses of GALATHEA and TERRANOVA studies

    Authors: , , , , , , , , , , , - The Lancet Respiratory Medicine 2019 cited by 115

  13. Computational modelling prediction and clinical validation of impact of benralizumab on airway smooth muscle mass in asthma

    Authors: , , , , , , , - European Respiratory Journal 2019 cited by 53

  14. Biological exacerbation clusters demonstrate asthma and chronic obstructive pulmonary disease overlap with distinct mediator and microbiome profiles

    Authors: , , , , , , , , , , , , , , , , - Journal of Allergy and Clinical Immunology 2018 cited by 162

  15. Reductions in eosinophil biomarkers by benralizumab in patients with asthma

    Authors: , , , - Respiratory Medicine 2016 cited by 180

  16. Benralizumab attenuates airway eosinophilia in prednisone-dependent asthma

    Authors: , , , , , , , , , - Journal of Allergy and Clinical Immunology 2018 cited by 107

  17. A randomised, placebo-controlled trial of anti–interleukin-1 receptor 1 monoclonal antibody MEDI8968 in chronic obstructive pulmonary disease

    Authors: , , , , , , , - Respiratory Research 2017 cited by 94

  18. Eosinophils, basophils and type 2 immune microenvironments in COPD-affected lung tissue

    Authors: , , , , , , , , , , , - European Respiratory Journal 2020 cited by 62

  19. Clinical Implications of Longitudinal Blood Eosinophil Counts in Patients With Severe Asthma

    Authors: , , , , , , , , - The Journal of Allergy and Clinical Immunology In Practice 2023 cited by 18

  20. Overlap of atopic, eosinophilic, and TH2-high asthma phenotypes in a general population with current asthma

    Authors: , , , , , , - Annals of Allergy Asthma & Immunology 2015 cited by 143

  21. The association between blood eosinophil count and benralizumab efficacy for patients with severe, uncontrolled asthma: subanalyses of the Phase III SIROCCO and CALIMA studies

    Authors: , , , , - Current Medical Research and Opinion 2017 cited by 92

  22. Forecasting Economic Time Series

    Authors: , , - Journal of the Operational Research Society 1979 cited by 1,018

  23. Ability of Serum IgE Concentration to Predict Exacerbation Risk and Benralizumab Efficacy for Patients with Severe Eosinophilic Asthma

    Authors: , , , , - Advances in Therapy 2019 cited by 72

  24. Biological clustering supports both “Dutch” and “British” hypotheses of asthma and chronic obstructive pulmonary disease

    Authors: , , , , , , , , , , , , - Journal of Allergy and Clinical Immunology 2014 cited by 133