Daniel J. Wilson

Active 1983–2025

130
Papers
24,048
Citations
87
h-index
128
i10-index

Citations

Citations per year for Daniel J. Wilson1980: 1 citations1984: 1 citations1990: 1 citations1992: 1 citations1994: 3 citations1995: 3 citations1996: 6 citations1997: 4 citations1998: 5 citations1999: 14 citations2000: 15 citations2001: 16 citations2002: 21 citations2003: 20 citations2004: 27 citations2005: 18 citations2006: 46 citations2007: 41 citations2008: 70 citations2009: 102 citations2010: 94 citations2011: 87 citations2012: 118 citations2013: 210 citations2014: 240 citations2015: 272 citations2016: 301 citations2017: 344 citations2018: 323 citations2019: 907 citations2020: 893 citations2021: 842 citations2022: 647 citations2023: 474 citations2024: 718 citations2025: 341 citations2026: 18 citations1981–1983: no citations, so these years are not shown1985–1989: no citations, so these years are not shown1991: no citations, so this year is not shown1993: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,164 citing papers, 20% of this breakdownUnited Kingdom: 1,441 citing papers, 13.3% of this breakdownChina: 631 citing papers, 5.8% of this breakdownGermany: 494 citing papers, 4.6% of this breakdownAustralia: 432 citing papers, 4% of this breakdownFrance: 430 citing papers, 4% of this breakdownCanada: 350 citing papers, 3.2% of this breakdownItaly: 307 citing papers, 2.8% of this breakdownSwitzerland: 287 citing papers, 2.7% of this breakdownSpain: 265 citing papers, 2.5% of this breakdownNetherlands: 249 citing papers, 2.3% of this breakdownJapan: 231 citing papers, 2.1% of this breakdown
0%20%Other 32.7%

Fields

  • Medicine42.2%
  • Biochemistry, Genetics and Molecular Biology30.5%
  • Agricultural and Biological Sciences8.2%
  • Immunology and Microbiology5.3%
  • Environmental Science3.3%
  • Engineering1.6%
  • Other8.9%

Topics

  • Antibiotic Resistance in Bacteria5.3%
  • Genomics and Phylogenetic Studies4.4%
  • Tuberculosis Research and Epidemiology3.8%
  • Mycobacterium research and diagnosis3.5%
  • Bacterial Identification and Susceptibility Testing3%
  • Antimicrobial Resistance in Staphylococcus2.8%
  • Other77.2%

Coauthors

All papers

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  1. ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes

    Authors: , - PLoS Computational Biology, PLoS Comput. Biol. 2015 cited by 986

  2. Hyperkalemia Risk with Finerenone: Results from the FIDELIO-DKD Trial

    Authors: , , , , , , , , , , , , - Journal of the American Society of Nephrology 2021 cited by 232

  3. The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alberto Trovato, Alena Skrahina, Alexander S. Lachapelle, Alice Brankin, Amy S. Piatek, Ana Gibertoni Cruz, Anastasia Koch, Andrea Maurizio Cabibbe, Andrea Spitaleri, Angela Pires Brandão, Angkana Chaiprasert, Anita Suresh, A. I. Barbova, Annelies Van Rie, Arash Ghodousi, Arnold Bainomugisa, Ayan Mandal, Aysha Roohi, Babak Javid, Baoli Zhu, Brice Letcher, Camilla Rodrigues, Camus Nimmo, Carl‐Michael Nathanson, Carla Duncan, Christopher Coulter, Christian Utpatel, Chunfa Liu, Clara Grazian, Clare Kong, Claudio U. Köser, Daniel J. Wilson, Daniela María Cirillo, Daniela Matias, Danielle Jorgensen, Danila Zimenkov, Darren Chetty, David Moore, David A. Clifton, Derrick W. Crook, Dick van Soolingen, Dongxin Liu, Donna Kohlerschmidt, Dráurio Barreira, Dumisani Ngcamu, David Santos-Lázaro, Ellis Kelly, Emanuele Borroni, Emma Roycroft, Emmanuel André, Erik C. Böttger, Esther Robinson, Fabrizio Menardo, Flavia F Mendes, Frances Jamieson, Francesc Coll, George F. Gao, George William Kasule, Gian María Rossolini, Gillian Rodger, E. Grace Smith, Graeme Meintjes, Guy Thwaites, Harald Hoffmann, Heidi Albert, Helen Cox, Ian F. Laurenson, Iñaki Comas, Irena Arandjelović, Ivan Barilar and 132 more - The Lancet Microbe 2022 cited by 300

  4. Bayesian inference of ancestral dates on bacterial phylogenetic trees

    Authors: , , , , - Nucleic Acids Research 2018 cited by 342

  5. Transforming clinical microbiology with bacterial genome sequencing

    Authors: , , , , - Nature Reviews Genetics 2012 cited by 817

  6. Measuring news sentiment

    Authors: , , - Journal of Econometrics 2020 cited by 402

  7. The harmonic mean p -value for combining dependent tests

    Authors: - National Academy of Sciences, Proceedings of the National Academy of Sciences 2019 cited by 466

  8. Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2015 cited by 584

  9. A comparative post hoc analysis of finerenone and spironolactone in resistant hypertension in moderate-to-advanced chronic kidney disease

    Authors: , , , , , , , , , , , , , , , , - Clinical Kidney Journal 2022 cited by 100

  10. Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - The Lancet Infectious Diseases 2015 cited by 693

  11. Association of Serum Potassium with All-Cause Mortality in Patients with and without Heart Failure, Chronic Kidney Disease, and/or Diabetes

    Authors: , , , , , , - American Journal of Nephrology 2017 cited by 403

  12. Within-host evolution of bacterial pathogens

    Authors: , , , , - Nature Reviews Microbiology 2016 cited by 509

  13. Nested Russian Doll-Like Genetic Mobility Drives Rapid Dissemination of the Carbapenem Resistance Gene bla KPC

    Authors: , , , , , , , , , , , , , , , , - Antimicrobial Agents and Chemotherapy 2016 cited by 327

  14. Identifying lineage effects when controlling for population structure improves power in bacterial association studies

    Authors: , , , , , , , , , , , , , , , , , , - Nature Microbiology 2016 cited by 318

  15. Whole-genome sequencing to delineate Mycobacterium tuberculosis outbreaks: a retrospective observational study

    Authors: , , , , , , , , , , , , , , , , - The Lancet Infectious Diseases 2012 cited by 980

  16. Population genomics of Escherichia coli in livestock-keeping households across a rapidly developing urban landscape

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Erastus K. Kang’ethe, Julio D. Dávila, Samuel Kariuki, Timothy P. Robinson, Jonathan Rushton, Mark Woolhouse, Eric M. Fèvre - Nature Microbiology 2022 cited by 94

  17. Evolutionary History of the Global Emergence of the Escherichia coli Epidemic Clone ST131

    Authors: , , , , , , , , , , , , , , , , , , , , , , - mBio 2016 cited by 352

  18. Application of machine learning techniques to tuberculosis drug resistance analysis

    Authors: , , , , , , , , - Bioinformatics, Bioinform. 2018 cited by 109

  19. Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data

    Authors: , , , , , , , , , , - Bioinformatics, Bioinform. 2017 cited by 162

  20. Prediction of Staphylococcus aureus Antimicrobial Resistance by Whole-Genome Sequencing

    Authors: , , , , , , , , , , , , , , , - Journal of Clinical Microbiology 2014 cited by 348

  21. New Routes to Phylogeography: A Bayesian Structured Coalescent Approximation

    Authors: , , , - PLoS Genetics 2015 cited by 293

  22. DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Emanuele Borroni, Simone Battaglia, Arash Ghodousi, Andrea Spitaleri, Andrea Maurizio Cabibbe, Sabira Tahseen, Kayzad Nilgiriwala, Sanchi Shah, Camilla Rodrigues, Priti Kambli, Utkarsha Surve, Rukhsar Khot, Stefan Niemann, Thomas A. Kohl, Matthias Merker, Harald Hoffmann, Nikolay Molodtsov, Sara Plesnik, Nazir Ismail, Guy Thwaites, Thuong Nguyen Thuy Thuong, Nhung Hoang Ngoc, Vijay Srinivasan, David Moore, David Jorge Coronel, Walter Solano, George F. Gao, Guangxue He, Yanlin Zhao, Aijing Ma, Chunfa Liu, Baoli Zhu, Ian F. Laurenson, Pauline Claxton, Anastasia Koch, Robert J. Wilkinson, Ajit Lalvani, James E. Posey, James Jennifer Gardy, Jim Werngren, Nicholas I. Paton, Ruwen Jou, Mei-Hua Wu, Wan-Hsuan Lin, Lucilaine Ferrazoli, Rosângela Siqueira de Oliveira, São Paulo, Tingting Zhu, David A. Clifton - Bioinformatics, Bioinform. 2019 cited by 69

  23. Niche-specific genome degradation and convergent evolution shaping Staphylococcus aureus adaptation during severe infections

    Authors: , , , , , , , , , , , - eLife 2022 cited by 56

  24. The distribution of bacterial doubling times in the wild

    Authors: , , , - Royal Society B Biological Sciences, Proceedings of the Royal Society B Biological Sciences 2018 cited by 285