World's Best Scientists 2026 revealed!
Justin J. J. van der Hooft

Justin J. J. van der Hooft

D-Index & Metrics

Chemistry

D-Index
59
Citations
41887
World Ranking
9968
National Ranking
198

Justin J. J. van der Hooft 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 Justin J. J. van der Hooft 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: 225 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Justin J. J. van der Hooft 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 Justin J. J. van der Hooft 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: 59 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Best Publications

  • Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

    Evan Bolyen;Jai Ram Rideout;Matthew R. Dillon;Nicholas A. Bokulich

  • Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

    Evan Bolyen;Jai Ram Rideout;Matthew R. Dillon;Nicholas A. Bokulich

  • Feature-based molecular networking in the GNPS analysis environment.

    Louis-Félix Nothias;Louis-Félix Nothias;Daniel Petras;Daniel Petras;Robin Schmid;Kai Dührkop

  • QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science

    Evan Bolyen;Jai Ram Rideout;Matthew R Dillon;Nicholas A Bokulich

  • Reproducible molecular networking of untargeted mass spectrometry data using GNPS

    Allegra T. Aron;Emily C. Gentry;Kerry L. McPhail;Louis Félix Nothias

  • MIBiG 2.0: a repository for biosynthetic gene clusters of known function.

    Satria A Kautsar;Kai Blin;Simon Shaw;Jorge C Navarro-Muñoz

  • The food metabolome: a window over dietary exposure

    Augustin Scalbert;Lorraine Brennan;Claudine Manach;Cristina Andres-Lacueva

  • MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters

    Unknown

  • The Natural Products Atlas: An Open Access Knowledge Base for Microbial Natural Products Discovery.

    Jeffrey A. van Santen;Gregoire Jacob;Amrit Leen Singh;Victor Aniebok

  • Topic modeling for untargeted substructure exploration in metabolomics

    Justin Johan Jozias van der Hooft;Joe Wandy;Michael P. Barrett;Karl E. V. Burgess

  • MolNetEnhancer: Enhanced Molecular Networks by Integrating Metabolome Mining and Annotation Tools

    Madeleine Ernst;Madeleine Ernst;Kyo Bin Kang;Kyo Bin Kang;Andrés Mauricio Caraballo-Rodríguez;Louis Felix Nothias

  • Propagating annotations of molecular networks using in silico fragmentation.

    Ricardo R. da Silva;Ricardo R. da Silva;Mingxun Wang;Louis Félix Nothias;Justin J.J. van der Hooft;Justin J.J. van der Hooft

  • QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science

    Unknown

  • antiSMASH 8.0: extended gene cluster detection capabilities and analyses of chemistry, enzymology, and regulation

    Unknown

  • Accelerating Metabolite Identification in Natural Product Research: Toward an Ideal Combination of Liquid Chromatography-High-Resolution Tandem Mass Spectrometry and NMR Profiling, in Silico Databases, and Chemometrics.

    Jean Luc Wolfender;Jean Marc Nuzillard;Justin J.J. Van Der Hooft;Jean Hugues Renault

  • Mass spectrometry searches using MASST

    Mingxun Wang;Alan K. Jarmusch;Fernando Vargas;Fernando Vargas;Alexander A. Aksenov

  • Human studies on the absorption, distribution, metabolism, and excretion of tea polyphenols

    Michael N Clifford;Justin J J van der Hooft;Alan Crozier

  • Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships

    Unknown

  • Linking genomics and metabolomics to chart specialized metabolic diversity

    Justin J J van der Hooft;Hosein Mohimani;Anelize Bauermeister;Pieter C Dorrestein

  • BiG-SLiCE: A highly scalable tool maps the diversity of 1.2 million biosynthetic gene clusters.

    Satria A Kautsar;Justin J J van der Hooft;Dick de Ridder;Marnix H Medema

Frequent Co-Authors

Pieter C. Dorrestein
Pieter C. Dorrestein University of California, San Diego
Daniel Petras
Daniel Petras University of California, Riverside
Marnix H. Medema
Marnix H. Medema Wageningen University & Research
Ric C. H. de Vos
Ric C. H. de Vos Wageningen University & Research
Jacques Vervoort
Jacques Vervoort Wageningen University & Research
Nuno Bandeira
Nuno Bandeira University of California, San Diego
Rob Knight
Rob Knight University of California, San Diego
Raoul J. Bino
Raoul J. Bino Wageningen University & Research
Curtis Huttenhower
Curtis Huttenhower Harvard University
Michael P. Barrett
Michael P. Barrett University of Glasgow

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