World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
55
Citations
12779
World Ranking
2948
National Ranking
158

Florian Leese publication distribution in Ecology and Evolution in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Ecology and Evolution in 2026. The highlighted bar marks where Florian Leese sits on this spectrum.

37–41 publications: 2 scientists 42–46 publications: 9 scientists 47–51 publications: 10 scientists 52–56 publications: 31 scientists 57–61 publications: 56 scientists 62–66 publications: 91 scientists 67–71 publications: 92 scientists 72–76 publications: 127 scientists 77–81 publications: 173 scientists 82–86 publications: 236 scientists 87–91 publications: 227 scientists 92–96 publications: 240 scientists 97–101 publications: 333 scientists 102–106 publications: 280 scientists 107–111 publications: 300 scientists 112–116 publications: 285 scientists 117–121 publications: 305 scientists 122–126 publications: 287 scientists 127–131 publications: 278 scientists 132–136 publications: 289 scientists 137–141 publications: 273 scientists 142–146 publications: 262 scientists 147–151 publications: 246 scientists 152–156 publications: 235 scientists 157–161 publications: 205 scientists 162–166 publications: 199 scientists 167–171 publications: 174 scientists 172–176 publications: 164 scientists 177–181 publications: 173 scientists 182–186 publications: 189 scientists 187–191 publications: 170 scientists 192–196 publications: 139 scientists 197–201 publications: 128 scientists 202–206 publications: 117 scientists 207–211 publications: 115 scientists 212–216 publications: 107 scientists 217–221 publications: 124 scientists 222–226 publications: 81 scientists 227–231 publications: 82 scientists 232–236 publications: 85 scientists 237–241 publications: 75 scientists 242–246 publications: 66 scientists 247–251 publications: 81 scientists 252–256 publications: 69 scientists 257–261 publications: 70 scientists 262–266 publications: 55 scientists 267–271 publications: 64 scientists 272–276 publications: 49 scientists 277–281 publications: 48 scientists 282–286 publications: 44 scientists 287–291 publications: 45 scientists 292–296 publications: 36 scientists 297–301 publications: 39 scientists 302–306 publications: 38 scientists 307–311 publications: 30 scientists 312–316 publications: 34 scientists 317–321 publications: 25 scientists 322–326 publications: 22 scientists 327–331 publications: 28 scientists 332–336 publications: 30 scientists 337–341 publications: 22 scientists 342–346 publications: 30 scientists 347–351 publications: 26 scientists 352–356 publications: 22 scientists 357–361 publications: 29 scientists 362–366 publications: 21 scientists 367–371 publications: 12 scientists 372–376 publications: 18 scientists 377–381 publications: 17 scientists 382–386 publications: 13 scientists 387–391 publications: 21 scientists 392–396 publications: 13 scientists 397–401 publications: 10 scientists 402–406 publications: 15 scientists 407–411 publications: 8 scientists 412–416 publications: 9 scientists 417–421 publications: 8 scientists 422–426 publications: 4 scientists 427–431 publications: 10 scientists 432–436 publications: 10 scientists 437–441 publications: 5 scientists 442–446 publications: 4 scientists 447–451 publications: 10 scientists 452–456 publications: 2 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 7 scientists 472–476 publications: 6 scientists 477–481 publications: 6 scientists 482–486 publications: 3 scientists 487–491 publications: 3 scientists 492–496 publications: 4 scientists 497–501 publications: 4 scientists 502–506 publications: 8 scientists 507–511 publications: 5 scientists 512–516 publications: 4 scientists 517–521 publications: 5 scientists 522–526 publications: 4 scientists 527–530 publications: 5 scientists 531+ publications: 100 scientists
37 publications 531+

This scientist: 220 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 531 publications or more.

Florian Leese D-index placement in Ecology and Evolution in 2026

The chart shows the D-index (discipline H-index) distribution of Ecology and Evolution scientists ranked by Research.com in 2026. The highlighted bar marks where Florian Leese sits on this spectrum.

30 D-Index: 95 scientists 31 D-Index: 123 scientists 32 D-Index: 191 scientists 33 D-Index: 245 scientists 34 D-Index: 252 scientists 35 D-Index: 244 scientists 36 D-Index: 249 scientists 37 D-Index: 244 scientists 38 D-Index: 254 scientists 39 D-Index: 254 scientists 40 D-Index: 280 scientists 41 D-Index: 274 scientists 42 D-Index: 266 scientists 43 D-Index: 233 scientists 44 D-Index: 248 scientists 45 D-Index: 208 scientists 46 D-Index: 201 scientists 47 D-Index: 213 scientists 48 D-Index: 207 scientists 49 D-Index: 172 scientists 50 D-Index: 209 scientists 51 D-Index: 199 scientists 52 D-Index: 153 scientists 53 D-Index: 169 scientists 54 D-Index: 163 scientists 55 D-Index: 148 scientists 56 D-Index: 120 scientists 57 D-Index: 146 scientists 58 D-Index: 137 scientists 59 D-Index: 140 scientists 60 D-Index: 104 scientists 61 D-Index: 119 scientists 62 D-Index: 118 scientists 63 D-Index: 99 scientists 64 D-Index: 77 scientists 65 D-Index: 100 scientists 66 D-Index: 86 scientists 67 D-Index: 83 scientists 68 D-Index: 75 scientists 69 D-Index: 94 scientists 70 D-Index: 57 scientists 71 D-Index: 68 scientists 72 D-Index: 59 scientists 73 D-Index: 63 scientists 74 D-Index: 66 scientists 75 D-Index: 60 scientists 76 D-Index: 42 scientists 77 D-Index: 49 scientists 78 D-Index: 39 scientists 79 D-Index: 37 scientists 80 D-Index: 43 scientists 81 D-Index: 41 scientists 82 D-Index: 45 scientists 83 D-Index: 34 scientists 84 D-Index: 40 scientists 85 D-Index: 35 scientists 86 D-Index: 55 scientists 87 D-Index: 24 scientists 88 D-Index: 24 scientists 89 D-Index: 30 scientists 90 D-Index: 23 scientists 91 D-Index: 25 scientists 92 D-Index: 27 scientists 93 D-Index: 27 scientists 94 D-Index: 13 scientists 95 D-Index: 23 scientists 96 D-Index: 12 scientists 97 D-Index: 14 scientists 98 D-Index: 19 scientists 99 D-Index: 16 scientists 100 D-Index: 14 scientists 101 D-Index: 5 scientists 102 D-Index: 21 scientists 103 D-Index: 16 scientists 104 D-Index: 10 scientists 105 D-Index: 7 scientists 106 D-Index: 7 scientists 107 D-Index: 7 scientists 108 D-Index: 6 scientists 109 D-Index: 9 scientists 110 D-Index: 11 scientists 111 D-Index: 12 scientists 112 D-Index: 9 scientists 113 D-Index: 7 scientists 114 D-Index: 3 scientists 115 D-Index: 8 scientists 116 D-Index: 5 scientists 117 D-Index: 11 scientists 118 D-Index: 4 scientists 119 D-Index: 2 scientists 120 D-Index: 5 scientists 121+ D-Index: 100 scientists
30 D-Index 121+

This scientist: 55 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 121 D-Index or more.

Overview

Florian Leese is affiliated with the University of Duisburg-Essen in Germany. Their research primarily spans the fields of Environmental Science and Biochemistry, Genetics and Molecular Biology, with a substantial focus on Ecology and Molecular Biology as key subfields.

Their recent work encompasses a range of topics related to biodiversity and ecological assessment, including:

  • Environmental DNA in Biodiversity Studies
  • Microbial Community Ecology and Physiology
  • Identification and Quantification in Food
  • Freshwater macroinvertebrate diversity and ecology
  • Species Distribution and Climate Change
  • Protist diversity and phylogeny
  • Fish Ecology and Management Studies

Leese has published extensively in various scientific venues, frequently contributing to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • ARPHA Conference Abstracts
  • Metabarcoding and Metagenomics
  • The Science of The Total Environment
  • Environmental DNA

Their most cited recent publications include:

  • "Deep learning and computer vision will transform entomology" (2021), Proceedings of the National Academy of Sciences
  • "Ecosystems monitoring powered by environmental genomics: A review of current strategies with an implementation roadmap" (2020), Molecular Ecology
  • "Expanding ecological assessment by integrating microorganisms into routine freshwater biomonitoring" (2020), Water Research
  • "A global agenda for advancing freshwater biodiversity research" (2021), Ecology Letters
  • "Environmental DNA metabarcoding for benthic monitoring: A review of sediment sampling and DNA extraction methods" (2021), The Science of The Total Environment

Leese has also contributed to books published by Pensoft Publishers and TemaNord, including titles such as "A practical guide to DNA-based methods for biodiversity assessment" (2021) and "Metabarcoding for use in Nordic routine aquatic biomonitoring - a validation study" (2021).

Frequent collaborators in Leese's research include:

  • Arne J. Beermann
  • Dominik Buchner
  • Till-Hendrik Macher
  • Martina Weiss
  • Vasco Elbrecht

The cumulative output of Florian Leese reflects a focus on developing and applying molecular techniques for ecological monitoring and biodiversity research, emphasizing environmental DNA methodologies and freshwater ecosystems. Their work integrates ecological modeling, genetics, and conservation science, contributing to a broader understanding of environmental and molecular aspects in their fields of study.

Best Publications

  • Can DNA-Based Ecosystem Assessments Quantify Species Abundance? Testing Primer Bias and Biomass—Sequence Relationships with an Innovative Metabarcoding Protocol

    Vasco Elbrecht;Florian Leese

  • The future of biotic indices in the ecogenomic era: Integrating (e)DNA metabarcoding in biological assessment of aquatic ecosystems

    Jan Pawlowski;Mary Kelly-Quinn;Florian Altermatt;Laure Apothéloz-Perret-Gentil

  • DNA barcode reference libraries for the monitoring of aquatic biota in Europe: Gap-analysis and recommendations for future work.

    Hannah Weigand;Arne J Beermann;Fedor Čiampor;Filipe O. Costa

  • Pan genome of the phytoplankton Emiliania underpins its global distribution

    Betsy A. Read;Jessica Kegel;Mary J. Klute;Alan Kuo

  • Deep learning and computer vision will transform entomology.

    Toke T. Høye;Johanna Ärje;Kim Bjerge;Oskar L. P. Hansen;Oskar L. P. Hansen

  • Implementation options for DNA-based identification into ecological status assessment under the European Water Framework Directive.

    Daniel Hering;Angel Borja;J.Iwan Jones;Didier Pont

  • Assessing strengths and weaknesses of DNA metabarcoding‐based macroinvertebrate identification for routine stream monitoring

    Vasco Elbrecht;Ecaterina Edith Vamos;Kristian Meissner;Jukka Aroviita

  • Validation and Development of COI Metabarcoding Primers for Freshwater Macroinvertebrate Bioassessment

    Vasco Elbrecht;Florian Leese

  • Evolutionary genomics of the cold-adapted diatom Fragilariopsis cylindrus

    Thomas Mock;Robert P Otillar;Jan Strauss;Mark McMullan

  • Ecosystems monitoring powered by environmental genomics: a review of current strategies with an implementation roadmap

    Tristan Cordier;Laura Alonso-Sáez;Laure Apothéloz-Perret-Gentil;Eva Aylagas

  • Sorting things out: Assessing effects of unequal specimen biomass on DNA metabarcoding.

    Vasco Elbrecht;Bianca Peinert;Florian Leese

  • Short COI markers for freshwater macroinvertebrate metabarcoding

    Ecaterina Edith Vamos;Vasco Elbrecht;Florian Leese

  • Expanding ecological assessment by integrating microorganisms into routine freshwater biomonitoring

    M. Sagova-Mareckova;J. Boenigk;A. Bouchez;K. Cermakova

  • DNAqua-Net: Developing new genetic tools for bioassessment and monitoring of aquatic ecosystems in Europe

    Florian Leese;Florian Altermatt;Agnès Bouchez;Torbjørn Ekrem

  • A global agenda for advancing freshwater biodiversity research.

    Alain Maasri;Alain Maasri;Sonja C. Jähnig;Sonja C. Jähnig;Mihai C. Adamescu;Rita Adrian;Rita Adrian

  • Environmental DNA metabarcoding for benthic monitoring: A review of sediment sampling and DNA extraction methods.

    J. Pawlowski;J. Pawlowski;K. Bruce;K. Panksep;K. Panksep;F.I. Aguirre

  • BOLDigger – a Python package to identify and organise sequences with the Barcode of Life Data systems

    Dominik Buchner;Florian Leese

  • Testing the potential of a ribosomal 16S marker for DNA metabarcoding of insects

    Vasco Elbrecht;Pierre Taberlet;Tony Dejean;Alice Valentini

  • Why We Need Sustainable Networks Bridging Countries, Disciplines, Cultures and Generations for Aquatic Biomonitoring 2.0: A Perspective Derived From the DNAqua-Net COST Action

    Florian Leese;Agnes Bouchez;Kessy Abarenkov;Florian Altermatt

  • Estimating intraspecific genetic diversity from community DNA metabarcoding data

    Vasco Elbrecht;Vasco Elbrecht;Ecaterina Edith Vamos;Dirk Steinke;Florian Leese

  • Permanent Genetic Resources added to Molecular Ecology Resources Database 1 August 2009–30 September 2009

    Ramesh K. Aggarwal;Joel Allainguillaume;M. M. Bajay;Santan Barthwal

  • Multiple-stressor effects on stream invertebrates: a mesocosm experiment manipulating nutrients, fine sediment and flow velocity

    Vasco Elbrecht;Vasco Elbrecht;Arne J. Beermann;Arne J. Beermann;Gunnar Goessler;Janis Neumann

  • Ecosystems Monitoring Powered by Environmental Genomics: A Review of Current Strategies with An Implementation Roadmap

    Tristan Cordier;Laura Alonso Sáez;Laure Apotheloz-Perret-Gentil;Eva Aylagas

Frequent Co-Authors

Ralph Tollrian
Ralph Tollrian Ruhr University Bochum
Daniel Hering
Daniel Hering University of Duisburg-Essen
Agnès Bouchez
Agnès Bouchez Université Savoie Mont Blanc
Jan Pawlowski
Jan Pawlowski Heidelberg University
Florian Altermatt
Florian Altermatt University of Zurich
Filipe O. Costa
Filipe O. Costa University of Minho
Uwe John
Uwe John Alfred Wegener Institute for Polar and Marine Research
Simon Creer
Simon Creer Bangor University
Wolfram Graf
Wolfram Graf BOKU University

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