World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
76
Citations
21789
World Ranking
4216
National Ranking
1334

Daniel Raftery publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Daniel Raftery sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 338 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Daniel Raftery D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel Raftery sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 76 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1999 - Fellow of Alfred P. Sloan Foundation

Overview

Daniel Raftery is affiliated with the University of Washington in the United States. Their research spans biochemistry, genetics, molecular biology, and medicine, with a notable focus on metabolomics and mass spectrometry studies. The scientist has contributed extensively to molecular biology, physiology, genetics, spectroscopy, and epidemiology.

Their recent papers include:

  • "NMR-Based Metabolomics" (2021), published in Advances in Experimental Medicine and Biology
  • "A DMS Shotgun Lipidomics Workflow Application to Facilitate High-Throughput, Comprehensive Lipidomics" (2021), published in Journal of the American Society for Mass Spectrometry
  • "Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring" (2021), published in Analytical Chemistry
  • "Genetic and Metabolomic Architecture of Variation in Diet Restriction-Mediated Lifespan Extension in Drosophila" (2020), published in PLoS Genetics
  • "Ensuring Fact-Based Metabolite Identification in Liquid Chromatography-Mass Spectrometry-Based Metabolomics" (2023), published in Analytical Chemistry

Frequent co-authors collaborating with Daniel Raftery include:

  • G. A. Nagana Gowda
  • Danijel Djukovic
  • Daniel Promislow
  • Johanna W. Lampe
  • Marian L. Neuhouser

Daniel Raftery publishes regularly in several key scientific venues such as:

  • Analytical Chemistry (17 publications)
  • bioRxiv (Cold Spring Harbor Laboratory) (15 publications)
  • Current Developments in Nutrition (6 publications)
  • Metabolites (5 publications)
  • Journal of Nutrition (5 publications)

Their primary research topics include:

  • Metabolomics and Mass Spectrometry Studies
  • Diet and Metabolism Studies
  • Gut Microbiota and Health
  • Nutritional Studies and Diet
  • Liver Disease Diagnosis and Treatment
  • Adipose Tissue and Metabolism
  • Analytical Chemistry and Chromatography

Throughout their career, Daniel Raftery has been recognized as a Fellow of the American Association for the Advancement of Science (AAAS) in 2020 and a Fellow of the Alfred P. Sloan Foundation in 1999.

Best Publications

  • NMR Spectroscopy for Metabolomics Research.

    Abdul-Hamid M. Emwas;Raja Roy;Ryan T McKay;Leonardo Tenori

  • The future of NMR-based metabolomics.

    John L Markley;Rafael Brüschweiler;Arthur S Edison;Hamid R Eghbalnia

  • Metabolomics-based methods for early disease diagnostics.

    G A Nagana Gowda;Shucha Zhang;Haiwei Gu;Vincent Asiago

  • Visible Light Driven V-Doped TiO2 Photocatalyst and Its Photooxidation of Ethanol

    Sarah Klosek;Daniel Raftery

  • Vibrational Relaxation Dynamics in Solutions

    J C Owrutsky;D Raftery;R M Hochstrasser

  • Detection of Succinate by Intestinal Tuft Cells Triggers a Type 2 Innate Immune Circuit.

    Marija S. Nadjsombati;John W. McGinty;Miranda R. Lyons-Cohen;James B. Jaffe

  • Comparing and combining NMR spectroscopy and mass spectrometry in metabolomics

    Zhengzheng Pan;Daniel Raftery

  • Highly efficient methane biocatalysis revealed in a methanotrophic bacterium

    M. G. Kalyuzhnaya;S. Yang;S. Yang;O. N. Rozova;N. E. Smalley

  • Defective Branched-Chain Amino Acid Catabolism Disrupts Glucose Metabolism and Sensitizes the Heart to Ischemia-Reperfusion Injury

    Tao Li;Zhen Zhang;Stephen C. Kolwicz;Lauren Abell

  • Lewis Acid Mediated Hydrosilylation on Porous Silicon Surfaces

    Jillian M. Buriak;Michael P. Stewart;Todd W. Geders;Matthew J. Allen

  • High-field NMR of adsorbed xenon polarized by laser pumping.

    D. Raftery;H. Long;T. Meersmann;P. J. Grandinetti

  • Quantitative Metabolomics by 1H-NMR and LC-MS/MS Confirms Altered Metabolic Pathways in Diabetes

    Ian R. Lanza;Shucha Zhang;Lawrence E. Ward;Helen Karakelides

  • Metabolic Signatures of Bacterial Vaginosis

    Sujatha Srinivasan;Martin T. Morgan;Tina L. Fiedler;Danijel Djukovic

  • EGFR Signaling Enhances Aerobic Glycolysis in Triple-Negative Breast Cancer Cells to Promote Tumor Growth and Immune Escape

    Seung Oe Lim;Chia Wei Li;Weiya Xia;Heng Huan Lee

  • Early Detection of Recurrent Breast Cancer Using Metabolite Profiling

    Unknown

  • Can NMR solve some significant challenges in metabolomics

    G.A. Nagana Gowda;Daniel Raftery;Daniel Raftery

  • Standardizing the experimental conditions for using urine in NMR-based metabolomic studies with a particular focus on diagnostic studies: a review.

    Abdul-Hamid Emwas;Claudio Luchinat;Paola Turano;Leonardo Tenori

  • Quantitating Metabolites in Protein Precipitated Serum Using NMR Spectroscopy

    G. A. Nagana Gowda;Daniel Raftery

  • Expanding the limits of human blood metabolite quantitation using NMR spectroscopy.

    G. A. Nagana Gowda;Yashas N. Gowda;Daniel Raftery

  • Colorectal cancer detection using targeted serum metabolic profiling.

    Jiangjiang Zhu;Danijel Djukovic;Lingli Deng;Lingli Deng;Haiwei Gu

  • Metabolic Remodeling Promotes Cardiac Hypertrophy by Directing Glucose to Aspartate Biosynthesis

    Julia Ritterhoff;Sara Young;Outi Villet;Dan Shao

  • Photoelectrochemical and structural characterization of carbon-doped WO3 films prepared via spray pyrolysis

    Yanping Sun;Carl J. Murphy;Karla R. Reyes-Gil;Enrique A. Reyes-Garcia

  • Principal component directed partial least squares analysis for combining nuclear magnetic resonance and mass spectrometry data in metabolomics: application to the detection of breast cancer.

    Haiwei Gu;Zhengzheng Pan;Bowei Xi;Vincent Asiago

  • Principal component analysis of urine metabolites detected by NMR and DESI-MS in patients with inborn errors of metabolism

    Zhengzheng Pan;Haiwei Gu;Nari Talaty;Huanwen Chen

  • Correlative and quantitative 1H NMR-based metabolomics reveals specific metabolic pathway disturbances in diabetic rats

    Shucha Zhang;G.A. Nagana Gowda;Vincent Asiago;Narasimhamurthy Shanaiah

Frequent Co-Authors

Johanna W. Lampe
Johanna W. Lampe Fred Hutchinson Cancer Research Center
Marian L. Neuhouser
Marian L. Neuhouser Fred Hutchinson Cancer Research Center
Rong Tian
Rong Tian University of Washington
Robert N. Eisenman
Robert N. Eisenman Fred Hutchinson Cancer Research Center
Daniel E. L. Promislow
Daniel E. L. Promislow University of Washington
Alexander Pines
Alexander Pines University of California, Berkeley
Paul D. Lampe
Paul D. Lampe Fred Hutchinson Cancer Research Center
Oliver Fiehn
Oliver Fiehn University of California, Davis
Ross L. Prentice
Ross L. Prentice Fred Hutchinson Cancer Research Center
David M. Hockenbery
David M. Hockenbery Fred Hutchinson Cancer Research Center

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