World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Chemistry 48 15034 13548 3829 3136 182 38890

Daniel Petras publications per year

The chart shows the history of publications by Daniel Petras between 2009 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Daniel Petras published across 18 years, from 2009 to 2026, averaging 14.8 papers a year. Output peaked at 45 publications in 2023. 32 of the 266 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2009 to 2026. Vertical axis: number of publications, 0 to 45. Peak 45 publications in 2023. 2009: 1 publication 2010: 0 publications 2011: 1 publication 2012: 1 publication 2013: 0 publications 2014: 1 publication 2015: 8 publications 2016: 12 publications 2017: 12 publications 2018: 13 publications 2019: 20 publications 2020: 21 publications 2021: 33 publications 2022: 21 publications 2023: 45 publications 2024: 45 publications 2025: 28 publications 2026: 4 publications
2009 2026

266 publications in total across all disciplines

View publications per year as a table
Daniel Petras: publications per year, 2009 to 2026
Year Publications
2009 1
2010 0
2011 1
2012 1
2013 0
2014 1
2015 8
2016 12
2017 12
2018 13
2019 20
2020 21
2021 33
2022 21
2023 45
2024 45
2025 28
2026 4
Total 266
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Daniel Petras 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 Petras sits on this spectrum.

No. of scientists
250 500 750 1,000 1,250
Bar chart with 63 bars. Horizontal axis: publications, 61–80 to 1,295+. Vertical axis: number of scientists, 0 to 1,350. Most scientists, 1,350, have 161–180 publications. The last bar groups every scientist with 1,295 publications or more. The highlighted bar, 181–200 publications, is where this scientist sits. 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
61–80 publications 1,295+

This scientist: 182 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Chemistry scientists by publication count, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
Publications Scientists This scientist
61–80 66
81–100 302
101–120 623
121–140 918
141–160 1,218
161–180 1,350
181–200 1,344 182
201–220 1,281
221–240 1,216
241–260 1,100
261–280 979
281–300 939
301–320 764
321–340 643
341–360 628
361–380 522
381–400 459
401–420 397
421–440 327
441–460 270
461–480 265
481–500 252
501–520 201
521–540 185
541–560 148
561–580 148
581–600 132
601–620 114
621–640 104
641–660 91
661–680 92
681–700 73
701–720 57
721–740 54
741–760 67
761–780 45
781–800 46
801–820 39
821–840 32
841–860 36
861–880 29
881–900 26
901–920 24
921–940 14
941–960 23
961–980 28
981–1,000 15
1,001–1,020 29
1,021–1,040 12
1,041–1,060 19
1,061–1,080 12
1,081–1,100 6
1,101–1,120 8
1,121–1,140 12
1,141–1,160 5
1,161–1,180 6
1,181–1,200 14
1,201–1,220 7
1,221–1,240 2
1,241–1,260 6
1,261–1,280 4
1,281–1,294 6
1,295+ 100
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Daniel Petras 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 Petras sits on this spectrum.

No. of scientists
250 500 750 1,000
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 159+. Vertical axis: number of scientists, 0 to 1,051. Most scientists, 1,051, have 56–57 D-Index. The last bar groups every scientist with 159 D-Index or more. The highlighted bar, 48–49 D-Index, is where this scientist sits. 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
40–41 D-Index 159+

This scientist: 48 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Chemistry scientists by D-index, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
D-Index Scientists This scientist
40–41 289
42–43 612
44–45 808
46–47 776
48–49 835 48
50–51 861
52–53 872
54–55 933
56–57 1,051
58–59 930
60–61 882
62–63 834
64–65 731
66–67 775
68–69 683
70–71 646
72–73 561
74–75 501
76–77 437
78–79 388
80–81 354
82–83 292
84–85 275
86–87 254
88–89 235
90–91 185
92–93 192
94–95 155
96–97 163
98–99 125
100–101 105
102–103 105
104–105 112
106–107 88
108–109 68
110–111 69
112–113 65
114–115 79
116–117 61
118–119 44
120–121 37
122–123 40
124–125 33
126–127 26
128–129 34
130–131 35
132–133 25
134–135 27
136–137 17
138–139 16
140–141 20
142–143 20
144–145 15
146–147 9
148–149 9
150–151 16
152–153 11
154–155 9
156–157 3
158 3
159+ 98
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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

  • Minimum Information about a Biosynthetic Gene cluster.

    Marnix H. Medema;Marnix H. Medema;Renzo Kottmann;Pelin Yilmaz;Matthew Cummings

  • Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra

    Kai Dührkop;Louis Felix Nothias;Markus Fleischauer;Raphael Reher

  • Reproducible molecular networking of untargeted mass spectrometry data using GNPS

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

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

    Unknown

  • Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment.

    Robin Schmid;Robin Schmid;Daniel Petras;Daniel Petras;Daniel Petras;Louis-Félix Nothias;Mingxun Wang

  • Mass spectrometry searches using MASST

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

  • Database-independent molecular formula annotation using Gibbs sampling through ZODIAC

    Marcus Ludwig;Louis-Félix Nothias;Kai Dührkop;Irina Koester;Irina Koester

  • Significance estimation for large scale metabolomics annotations by spectral matching

    Kerstin Scheubert;Franziska Hufsky;Daniel Petras;Mingxun Wang

  • The extracellular matrix protects Bacillus subtilis colonies from Pseudomonas invasion and modulates plant co-colonization.

    Carlos Molina-Santiago;John R. Pearson;Yurena Navarro;María Victoria Berlanga-Clavero

  • The gyrase inhibitor albicidin consists of p-aminobenzoic acids and cyanoalanine

    Stéphane Cociancich;Alexander Pesic;Daniel Petras;Stefanie Uhlmann

  • Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data

    Alexander A. Aksenov;Ivan Laponogov;Zheng Zhang;Sophie L. F. Doran

  • High-Resolution Liquid Chromatography Tandem Mass Spectrometry Enables Large Scale Molecular Characterization of Dissolved Organic Matter

    Daniel Petras;Irina Koester;Ricardo Da Silva;Brandon M. Stephens

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

    Unknown

  • Biochemical Dissection of the Natural Diversification of Microcystin Provides Lessons for Synthetic Biology of NRPS

    Sabine Meyer;Jan-Christoph Kehr;Andi Mainz;Daniel Dehm

  • ReDU: a framework to find and reanalyze public mass spectrometry data

    Alan K. Jarmusch;Alan K. Jarmusch;Mingxun Wang;Mingxun Wang;Christine M. Aceves;Christine M. Aceves;Rohit S. Advani;Rohit S. Advani

  • Feature-based Molecular Networking in the GNPS Analysis Environment

    Louis Felix Nothias;Daniel Petras;Robin Schmid;Kai Dührkop

Frequent Co-Authors

Pieter C. Dorrestein
Pieter C. Dorrestein University of California, San Diego
Roderich D. Süssmuth
Roderich D. Süssmuth Technical University of Berlin
Justin J. J. van der Hooft
Justin J. J. van der Hooft Wageningen University & Research
Nuno Bandeira
Nuno Bandeira University of California, San Diego
Sebastian Böcker
Sebastian Böcker Friedrich Schiller University Jena
Rob Knight
Rob Knight University of California, San Diego
Juan J. Calvete
Juan J. Calvete Spanish National Research Council
Curtis Huttenhower
Curtis Huttenhower Harvard University
Kimberly A. Prather
Kimberly A. Prather University of California, San Diego
Manuela Raffatellu
Manuela Raffatellu University of California, San Diego

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