James R. Brown

Active 1955–2025

88
Papers
22,855
Citations
66
h-index
79
i10-index

Citations

Citations per year for James R. Brown1966: 10 citations1967: 12 citations1968: 12 citations1969: 12 citations1970: 13 citations1971: 17 citations1972: 6 citations1973: 6 citations1974: 5 citations1975: 4 citations1976: 4 citations1978: 1 citations1979: 8 citations1980: 6 citations1981: 3 citations1982: 9 citations1983: 6 citations1984: 11 citations1985: 12 citations1986: 8 citations1987: 9 citations1988: 7 citations1989: 9 citations1990: 8 citations1991: 16 citations1992: 10 citations1993: 18 citations1994: 19 citations1995: 21 citations1996: 43 citations1997: 49 citations1998: 80 citations1999: 80 citations2000: 105 citations2001: 105 citations2002: 99 citations2003: 150 citations2004: 117 citations2005: 114 citations2006: 109 citations2007: 75 citations2008: 90 citations2009: 74 citations2010: 104 citations2011: 121 citations2012: 95 citations2013: 95 citations2014: 120 citations2015: 114 citations2016: 92 citations2017: 84 citations2018: 109 citations2019: 247 citations2020: 465 citations2021: 627 citations2022: 677 citations2023: 502 citations2024: 847 citations2025: 343 citations2026: 17 citations1977: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,114 citing papers, 23.8% of this breakdownChina: 1,220 citing papers, 13.7% of this breakdownUnited Kingdom: 622 citing papers, 7% of this breakdownGermany: 379 citing papers, 4.3% of this breakdownFrance: 355 citing papers, 4% of this breakdownCanada: 324 citing papers, 3.6% of this breakdownAustralia: 291 citing papers, 3.3% of this breakdownSpain: 291 citing papers, 3.3% of this breakdownItaly: 242 citing papers, 2.7% of this breakdownSwitzerland: 237 citing papers, 2.7% of this breakdownSouth Korea: 192 citing papers, 2.2% of this breakdownJapan: 184 citing papers, 2.1% of this breakdown
0%23.8%Other 27.3%

Fields

  • Biochemistry, Genetics and Molecular Biology44.6%
  • Medicine22.6%
  • Agricultural and Biological Sciences6.4%
  • Environmental Science5.4%
  • Business, Management and Accounting5.3%
  • Immunology and Microbiology3.4%
  • Other12.3%

Topics

  • Gut microbiota and health9.8%
  • Genomics and Phylogenetic Studies4%
  • Microbial Community Ecology and Physiology2.3%
  • Computational Drug Discovery Methods1.9%
  • RNA and protein synthesis mechanisms1.8%
  • Diet and metabolism studies1.6%
  • Other78.6%

Coauthors

All papers

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  1. PICRUSt2 for prediction of metagenome functions

    Authors: , , , , , , , - Nature Biotechnology 2020 cited by 6,537

  2. Inflammatory Endotype–associated Airway Microbiome in Chronic Obstructive Pulmonary Disease Clinical Stability and Exacerbations: A Multicohort Longitudinal Analysis

    Authors: , , , , , , , , , , , , , , , - American Journal of Respiratory and Critical Care Medicine 2020 cited by 293

  3. Lung microbiome dynamics in COPD exacerbations

    Authors: , , , , , , , , , , , - European Respiratory Journal 2016 cited by 479

  4. Obesity and disease severity magnify disturbed microbiome-immune interactions in asthma patients

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2019 cited by 215

  5. PICRUSt2: An improved and customizable approach for metagenome inference

    Authors: , , , , , , , - 2019 cited by 736

  6. Thousands of chemical starting points for antimalarial lead identification

    Authors: , , , , , , , , , , , , , - Nature 2010 cited by 1,019

  7. Longitudinal profiling of the lung microbiome in the AERIS study demonstrates repeatability of bacterial and eosinophilic COPD exacerbations

    Authors: , , , , , , , , , , , , , , , , , , , , - Thorax 2018 cited by 292

  8. Novel Gut-Based Pharmacology of Metformin in Patients with Type 2 Diabetes Mellitus

    Authors: , , , , , , , , , - PLoS ONE 2014 cited by 287

  9. Airway host-microbiome interactions in chronic obstructive pulmonary disease

    Authors: , , , , , , , , , - Respiratory Research 2019 cited by 161

  10. Sputum microbiome temporal variability and dysbiosis in chronic obstructive pulmonary disease exacerbations: an analysis of the COPDMAP study

    Authors: , , , , , , , , , , , , , , , , , , , , - Thorax 2017 cited by 157

  11. The sputum microbiome is distinct between COPD and health, independent of smoking history

    Authors: , , , , , , , , , , , , , , , , , , - Respiratory Research 2020 cited by 112

  12. Gut microbiome differences between metformin‐ and liraglutide‐treated T2DM subjects

    Authors: , , , , , , , - Endocrinology Diabetes & Metabolism 2017 cited by 81

  13. Multi-omic meta-analysis identifies functional signatures of airway microbiome in chronic obstructive pulmonary disease

    Authors: , , , , , , , , , , , , , , , , , - The ISME Journal 2020 cited by 90

  14. Photon quantum entanglement in the MeV regime and its application in PET imaging

    Authors: , , , , , , , , - Nature Communications 2021 cited by 74

  15. New Compound Sets Identified from High Throughput Phenotypic Screening Against Three Kinetoplastid Parasites: An Open Resource

    Authors: , , , , , , , , , , , , , , , , , , , , - Scientific Reports 2015 cited by 258

  16. Bacterial Resistance to Leucyl-tRNA Synthetase Inhibitor GSK2251052 Develops during Treatment of Complicated Urinary Tract Infections

    Authors: , , , , , , , , , , , , , , , , , , - Antimicrobial Agents and Chemotherapy 2014 cited by 98

  17. Tempo, mode, the progenote, and the universal root.

    Authors: , - National Academy of Sciences, Proceedings of the National Academy of Sciences 1994 cited by 204

  18. Evolution of Two-Component Signal Transduction

    Authors: , , , , - Molecular Biology and Evolution 2000 cited by 323

  19. Comparative Genomics of Klebsiella pneumoniae Strains with Different Antibiotic Resistance Profiles

    Authors: , , , , , , , - Antimicrobial Agents and Chemotherapy 2011 cited by 110

  20. Does Transparency Stifle or Facilitate Innovation?

    Authors: , - Management Science, Manag. Sci. 2018 cited by 189

  21. T Cell– and Monocyte-Specific RNA-Sequencing Analysis in Septic and Nonseptic Critically Ill Patients and in Patients with Cancer

    Authors: , , , , , , , , , , , , , , , , - The Journal of Immunology 2019 cited by 63

  22. Evolutionary relationships of Aurora kinases: Implications for model organism studies and the development of anti-cancer drugs

    Authors: , , , , - BMC Evolutionary Biology 2004 cited by 121

  23. Identification of Common Biological Pathways and Drug Targets Across Multiple Respiratory Viruses Based on Human Host Gene Expression Analysis

    Authors: , , , , - PLoS ONE 2012 cited by 91

  24. Expanding the drug discovery space with predicted metabolite–target interactions

    Authors: , , , , , - Communications Biology 2021 cited by 22