World's Best Scientists 2026 revealed!
Joachim Selbig

Joachim Selbig

D-Index & Metrics

Biology and Biochemistry

D-Index
63
Citations
20180
World Ranking
10021
National Ranking
725

Joachim Selbig publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Joachim Selbig sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 160 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Joachim Selbig D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Joachim Selbig sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 63 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Joachim Selbig is affiliated with the Max Planck Society in Germany, an institution known for its research contributions across multiple scientific disciplines.

While detailed information on their recent papers, co-authors, and publication venues is not available, the researcher's association with the Max Planck Society suggests engagement with advanced scientific investigations.

No specific data on main or subfields of study, topics of work, or book publications are currently provided, which limits a detailed description of their research domains.

There is no information on awards or recognitions granted to this scientist so far. Available records indicate that Joachim Selbig is currently active in their professional capacity.

Best Publications

  • MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes

    Oliver Thimm;Oliver Bläsing;Yves Gibon;Axel Nagel

  • pcaMethods—a bioconductor package providing PCA methods for incomplete data

    Wolfram Stacklies;Henning Redestig;Matthias Scholz;Dirk Walther

  • The mutual information: detecting and evaluating dependencies between variables.

    Ralph E. Steuer;Jürgen Kurths;Carsten O. Daub;Janko Weise

  • A Robot-Based Platform to Measure Multiple Enzyme Activities in Arabidopsis Using a Set of Cycling Assays: Comparison of Changes of Enzyme Activities and Transcript Levels during Diurnal Cycles and in Prolonged Darkness

    Yves Gibon;Oliver E. Blaesing;Jan Hannemann;Petronia Carillo

  • Extension of the Visualization Tool MapMan to Allow Statistical Analysis of Arrays, Display of Coresponding Genes, and Comparison with Known Responses

    Björn Usadel;Axel Nagel;Oliver Thimm;Henning Redestig

  • Metabolomics of temperature stress

    Charles Guy;Fatma Kaplan;Joachim Kopka;Joachim Selbig

  • Starch as a major integrator in the regulation of plant growth.

    Ronan Sulpice;Eva-Theresa Pyl;Hirofumi Ishihara;Sandra Trenkamp

  • Metabolomic and transcriptomic stress response of Escherichia coli

    Szymon Jozefczuk;Sebastian Klie;Gareth S Catchpole;Jedrzej Szymanski

  • The metabolic signature related to high plant growth rate in Arabidopsis thaliana

    Rhonda C. Meyer;Matthias Steinfath;Jan Lisec;Martina Becher

  • PhosPhAt: a database of phosphorylation sites in Arabidopsis thaliana and a plant-specific phosphorylation site predictor

    Joshua L. Heazlewood;Pawel Durek;Jan Hummel;Joachim Selbig

  • Parallel analysis of transcript and metabolic profiles: a new approach in systems biology

    Ewa Urbanczyk‐Wochniak;Alexander Luedemann;Joachim Kopka;Joachim Selbig

  • Estimating mutual information using B-spline functions – an improved similarity measure for analysing gene expression data

    Carsten O Daub;Carsten O Daub;Ralf Steuer;Joachim Selbig;Sebastian Kloska

  • Geno2pheno: estimating phenotypic drug resistance from HIV-1 genotypes

    Niko Beerenwinkel;Martin Däumer;Mark Oette;Klaus Korn

  • Decision tree supported substructure prediction of metabolites from GC-MS profiles

    Jan Hummel;Nadine Strehmel;Joachim Selbig;Dirk Walther

  • Metabolite fingerprinting: detecting biological features by independent component analysis

    M. Scholz;S. Gatzek;A. Sterling;O. Fiehn

  • Structural kinetic modeling of metabolic networks

    Ralf Steuer;Thilo Gross;Joachim Selbig;Bernd Blasius

  • The metabolic response of heterotrophic Arabidopsis cells to oxidative stress

    Charles J. Baxter;Henning Redestig;Nicolas Schauer;Dirk Repsilber

  • Diversity and complexity of HIV-1 drug resistance: a bioinformatics approach to predicting phenotype from genotype

    Niko Beerenwinkel;Barbara Schmidt;Hauke Walter;Rolf Kaiser

  • Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations

    Jan Lisec;Rhonda C. Meyer;Matthias Steinfath;Henning Redestig

  • Non-linear PCA: a missing data approach

    Matthias Scholz;Fatma Kaplan;Charles L. Guy;Joachim Kopka

Frequent Co-Authors

Lothar Willmitzer
Lothar Willmitzer Max Planck Society
Rolf Kaiser
Rolf Kaiser University of Cologne
Zoran Nikoloski
Zoran Nikoloski Max Planck Institute of Molecular Plant Physiology
Thomas Lengauer
Thomas Lengauer Max Planck Institute for Informatics
Thomas Altmann
Thomas Altmann Institute of Plant Genetics and Crop Plant Research
Joachim Kopka
Joachim Kopka Max Planck Society
Wolfram Weckwerth
Wolfram Weckwerth University of Vienna
Alisdair R. Fernie
Alisdair R. Fernie Max Planck Institute of Molecular Plant Physiology
Rhonda C. Meyer
Rhonda C. Meyer Leibniz Association

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