World's Best Scientists 2026 revealed!
Stefanie Pöggeler

Stefanie Pöggeler

D-Index & Metrics

Genetics

D-Index
48
Citations
34861
World Ranking
4015
National Ranking
268

Stefanie Pöggeler 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 Stefanie Pöggeler 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: 107 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Stefanie Pöggeler 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 Stefanie Pöggeler 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: 48 D-Index — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Enzyme
  • Genetics

Stefanie Pöggeler mainly investigates Genetics, Gene, Sordaria macrospora, Fungal protein and Mating type. Her Genetics study frequently draws connections to adjacent fields such as Cell biology. In the subject of general Gene, her work in Saccharomyces cerevisiae, Plasmid, Promoter and Enhancer is often linked to Cellular localization, thereby combining diverse domains of study.

Her Sordaria macrospora study necessitates a more in-depth grasp of Mutant. Her Fungal protein research includes elements of Meiosis, Prophase, Anaphase and Ascomycota. Her Mating type research is multidisciplinary, relying on both Phylogenetics and Phylogenetic tree.

Her most cited work include:

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
  • Guidelines for the use and interpretation of assays for monitoring autophagy (3242 citations)
  • De novo assembly of a 40 Mb eukaryotic genome from short sequence reads: Sordaria macrospora, a model organism for fungal morphogenesis. (158 citations)

What are the main themes of her work throughout her whole career to date?

Sordaria macrospora, Genetics, Gene, Mutant and Fungal protein are her primary areas of study. Her studies in Sordaria macrospora integrate themes in fields like Sordaria, Enzyme, Saccharomyces cerevisiae and Cell biology. Stefanie Pöggeler has researched Gene in several fields, including Fungus, Function and Microbiology.

Stefanie Pöggeler usually deals with Mutant and limits it to topics linked to Kinase and Protein subunit. Her Genome study combines topics from a wide range of disciplines, such as Fungal genetics and Computational biology. Her Computational biology research is multidisciplinary, incorporating perspectives in Genetic model, Chaperone-mediated autophagy, Multicellular organism and Autolysosome.

She most often published in these fields:

  • Sordaria macrospora (57.00%)
  • Genetics (51.00%)
  • Gene (44.00%)

What were the highlights of her more recent work (between 2017-2021)?

  • Sordaria macrospora (57.00%)
  • Gene (44.00%)
  • Genome (15.00%)

In recent papers she was focusing on the following fields of study:

Her primary areas of investigation include Sordaria macrospora, Gene, Genome, Genetics and Computational biology. Stefanie Pöggeler combines subjects such as Organelle and Carbonic anhydrase, Enzyme with her study of Sordaria macrospora. Her Gene research incorporates elements of Verticillium, Host and Hypha.

Her research in Genome intersects with topics in Fungal genetics, Marine fungi, Pestalotiopsis and DNA sequencing. Her work carried out in the field of Computational biology brings together such families of science as Host protein, Protein splicing and Intein. The study incorporates disciplines such as Hippo signaling pathway, Kinase, Scaffold protein and Protein subunit in addition to Mutant.

Between 2017 and 2021, her most popular works were:

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) (38 citations)
  • A Hippo Pathway-Related GCK Controls Both Sexual and Vegetative Developmental Processes in the Fungus Sordaria macrospora. (13 citations)
  • Genome Sequencing and analyses of Two Marine Fungi from the North Sea Unraveled a Plethora of Novel Biosynthetic Gene Clusters (11 citations)

In her most recent research, the most cited papers focused on:

  • Gene
  • Enzyme
  • Genetics

Computational biology, Multicellular organism, Sordaria macrospora, Mutant and Genetics are her primary areas of study. The various areas that Stefanie Pöggeler examines in her Computational biology study include Chaperone-mediated autophagy and Autolysosome. She has included themes like Model organism, Organism, Genetic model, Genomics and Molecular genetics in her Multicellular organism study.

Her research integrates issues of Hippo signaling pathway, Kinase, Scaffold protein and Protein subunit in her study of Sordaria macrospora. Stefanie Pöggeler frequently studies issues relating to Protein phosphatase 2 and Mutant.

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

    Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif

  • Guidelines for the use and interpretation of assays for monitoring autophagy

    Daniel J. Klionsky;Fabio C. Abdalla;Hagai Abeliovich;Robert T. Abraham

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

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

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

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

  • Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356

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

  • De novo assembly of a 40 Mb eukaryotic genome from short sequence reads: Sordaria macrospora, a model organism for fungal morphogenesis.

    Minou Nowrousian;Jason E Stajich;Meiling Chu;Ines Engh

  • Highly efficient generation of signal transduction knockout mutants using a fungal strain deficient in the mammalian ku70 ortholog

    Stefanie Pöggeler;Ulrich Kück

  • Insights on the Evolution of Mycoparasitism from the Genome of Clonostachys rosea

    Magnus Karlsson;Mikael Brandström Durling;Jaeyoung Choi;Chatchai Kosawang

  • Ectomycorrhizal ecology is imprinted in the genome of the dominant symbiotic fungus Cenococcum geophilum

    Martina Peter;Annegret Kohler;Robin A. Ohm;Robin A. Ohm;Alan Kuo

  • Inteins, valuable genetic elements in molecular biology and biotechnology

    Skander Elleuche;Stefanie Pöggeler

  • Fruiting-Body Development in Ascomycetes

    S. Pöggeler;M. Nowrousian;U. Kück

  • Mating-type genes from the homothallic fungus Sordaria macrospora are functionally expressed in a heterothallic ascomycete

    Stefanie Pöggeler;Siegfried Risch;Ulrich Kück;Heinz D. Osiewacz

  • The pro1+ Gene From Sordaria macrospora Encodes a C6 Zinc Finger Transcription Factor Required for Fruiting Body Development

    Sandra Masloff;Stefanie Pöggeler;Ulrich Kück

  • Genomic evidence for mating abilities in the asexual pathogen Aspergillus fumigatus.

    Stefanie Pöggeler

  • Functional Characterization of MAT1-1-Specific Mating-Type Genes in the Homothallic Ascomycete Sordaria macrospora Provides New Insights into Essential and Nonessential Sexual Regulators

    V. Klix;M. Nowrousian;C. Ringelberg;J. J. Loros

  • Versatile EGFP reporter plasmids for cellular localization of recombinant gene products in filamentous fungi

    Stefanie Pöggeler;Sandra Masloff;Birgit Hoff;Severine Mayrhofer

  • A WD40 repeat protein regulates fungal cell differentiation and can be replaced functionally by the mammalian homologue striatin.

    Stefanie Pöggeler;Ulrich Kück

  • Spo76p Is a Conserved Chromosome Morphogenesis Protein that Links the Mitotic and Meiotic Programs

    Diana van Heemst;Françoise James;Stefanie Pöggeler;Véronique Berteaux-Lecellier

  • Phylogenetic relationships between mating-type sequences from homothallic and heterothallic ascomycetes.

    Stefanie Pöggeler

  • Mating-type genes for classical strain improvements of ascomycetes.

    S Pöggeler

Frequent Co-Authors

Ulrich Kück
Ulrich Kück Ruhr University Bochum
Sergio Lavandero
Sergio Lavandero University of Chile
Evelina Gatti
Evelina Gatti Aix-Marseille University
Gerhard H. Braus
Gerhard H. Braus University of Göttingen
Claudiu T. Supuran
Claudiu T. Supuran University of Florence
Bernard Henrissat
Bernard Henrissat Technical University of Denmark
Beth Levine
Beth Levine The University of Texas Southwestern Medical Center
Steven Finkbeiner
Steven Finkbeiner University of California, San Francisco
Shazib Pervaiz
Shazib Pervaiz National University of Singapore
Boris Zhivotovsky
Boris Zhivotovsky Karolinska Institute

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