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Genetics
Germany
2024
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Genetics and Molecular Biology
Germany
2024

D-Index & Metrics

Genetics

D-Index
112
Citations
56519
World Ranking
493
National Ranking
32

Medicine

D-Index
112
Citations
56753
World Ranking
5083
National Ranking
280

Holger Prokisch publication distribution in Genetics in 2026

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

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 469 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Holger Prokisch D-index placement in Genetics in 2026

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

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 112 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2024 - Research.com Genetics in Germany Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in Germany Leader Award
  • 2023 - Research.com Genetics in Germany Leader Award

Overview

Holger Prokisch is affiliated with the Technical University of Munich in Germany. Their research primarily focuses on biochemistry, genetics, and molecular biology, with 380 publications in this field. Subfields of their work include molecular biology, genetics, clinical biochemistry, neurology, and cellular and molecular neuroscience.

The main topics covered in Prokisch's research include:

  • Mitochondrial Function and Pathology
  • Metabolism and Genetic Disorders
  • RNA Modifications and Cancer
  • Genomics and Rare Diseases
  • ATP Synthase and ATPases Research
  • Genetics and Neurodevelopmental Disorders
  • Genetic Neurodegenerative Diseases

Prokisch has published extensively in several scientific venues. The frequent publication venues include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Brain
  • Movement Disorders
  • Nature Communications

Some recent publications by Prokisch include:

  • "Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression" (2021, Nature Genetics)
  • "Genetics of mitochondrial diseases: Identifying mutations to help diagnosis" (2020, EBioMedicine)
  • "Monogenic variants in dystonia: an exome-wide sequencing study" (2020, The Lancet Neurology)
  • "Clinical implementation of RNA sequencing for Mendelian disease diagnostics" (2022, Genome Medicine)
  • "Genetic variation influencing DNA methylation provides insights into molecular mechanisms regulating genomic function" (2022, Nature Genetics)

Frequent coauthors collaborating with Prokisch include:

  • Robert Kopajtich
  • Thomas Meitinger
  • Johannes A. Mayr
  • Saskia B. Wortmann
  • Vicente A. Yépez

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • ACSL4 dictates ferroptosis sensitivity by shaping cellular lipid composition

    Sebastian Doll;Bettina Proneth;Yulia Y Tyurina;Elena Panzilius

  • Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

    Urmo Võsa;Annique Claringbould;Annique Claringbould;Harm-Jan Westra;Marc Jan Bonder

  • Systematic identification of trans eQTLs as putative drivers of known disease associations

    Harm-Jan Westra;Marjolein J Peters;Tõnu Esko;Hanieh Yaghootkar

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity

    Simone Wahl;Alexander Drong;Benjamin Lehne;Marie Loh;Marie Loh;Marie Loh

  • Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

    Richard Karlsson Linnér;Richard Karlsson Linnér;Pietro Biroli;Edward Kong;S. Fleur W. Meddens;S. Fleur W. Meddens

  • Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations.

    Melanie Kolz;Toby Johnson;Toby Johnson;Toby Johnson;Serena Sanna;Alexander Teumer

  • Novel biomarkers for pre-diabetes identified by metabolomics

    Rui Wang-Sattler;Zhonghao Yu;Christian Herder;Ana C Messias

  • The transcriptional landscape of age in human peripheral blood

    Marjolein J. Peters;Roby Joehanes;Luke C. Pilling;Claudia Schurmann;Claudia Schurmann

  • Systematic screen for human disease genes in yeast

    Lars M. Steinmetz;Curt Scharfe;Adam M. Deutschbauer;Dejana Mokranjac

  • A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium

    Nicole Soranzo;Nicole Soranzo;Tim D Spector;Massimo Mangino;Brigitte Kühnel

  • The Parkinson disease causing LRRK2 mutation I2020T is associated with increased kinase activity

    Christian Johannes Gloeckner;Norbert Kinkl;Annette Schumacher;Ralf J. Braun

  • Genetic diagnosis of Mendelian disorders via RNA sequencing

    Laura S. Kremer;Daniel M. Bader;Daniel M. Bader;Christian Mertes;Robert Kopajtich

  • SLC2A9 influences uric acid concentrations with pronounced sex-specific effects.

    Angela Döring;Christian Gieger;Divya Mehta;Henning Gohlke

  • Differences between human plasma and serum metabolite profiles

    Zhonghao Yu;Gabi Kastenmüller;Ying He;Petra Belcredi

  • Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis

    Võsa U;Claringbould A;Westra H;Bonder Mj

  • Epigenome-wide association of DNA methylation markers in peripheral blood from Indian Asians and Europeans with incident type 2 diabetes: a nested case-control study.

    John C Chambers;Marie Loh;Marie Loh;Marie Loh;Benjamin Lehne;Alexander Drong

  • Phenotypic spectrum associated with mutations of the mitochondrial polymerase γ gene

    R Horvath;G Hudson;G Ferrari;N Futterer

  • Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations

    M. Kolz;T. Johnson;S. Sanna;A. Teumer

Frequent Co-Authors

Thomas Meitinger
Thomas Meitinger Technical University of Munich
Tobias B. Haack
Tobias B. Haack University of Tübingen
Tim M. Strom
Tim M. Strom Technical University of Munich
Johannes A. Mayr
Johannes A. Mayr Paracelsus Medical University
Thomas Klopstock
Thomas Klopstock Ludwig-Maximilians-Universität München
Wolfgang Sperl
Wolfgang Sperl Paracelsus Medical University
Christian Gieger
Christian Gieger Helmholtz Zentrum München
Robert W. Taylor
Robert W. Taylor Newcastle University
Annette Peters
Annette Peters Ludwig-Maximilians-Universität München
Christian Herder
Christian Herder Heinrich Heine University Düsseldorf

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