Florian Leese

Ecology · 2010–2020

A researcher in the Science corpus: 10 papers; trusts 36 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 117 citations into it; #2,229 of 10,717 by trust here, #3,477 by citations
• Molecular Biology — 98 citations into it; #4,612 of 17,773 by trust here, #8,182 by citations
• Genetics — 65 citations into it
• Oceanography — 43 citations into it
• Nature and Landscape Conservation — 37 citations into it
• Global and Planetary Change — 36 citations into it
• Ecological Modeling — 24 citations into it
• Ecology, Evolution, Behavior and Systematics — 21 citations into it

Whom Florian Leese trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert C. Edgar
2. Paul D. N. Hebert
3. Sujeevan Ratnasingham
4. F. Jones
5. Vasco Elbrecht
6. P. Taberlet
7. Xin Zhou
8. H. Ramadan
9. Palle Villesen
10. Marcel Martin

Who trusts Florian Leese overall

1. Vasco Elbrecht
2. Valentin Vasselon
3. A. Alberdi
4. S. Rivera
5. E. Vamos
6. K. Goodwin
7. K. Deiner

Papers from Florian Leese's perspective

Ordered by how strongly the researchers Florian Leese trusts endorse each paper. Same corpus, a different order for every researcher.

1. Biological Identifications Through DNA Barcodes
2. Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species (Proceedings of the Royal Society of London. Series B: Biological Sciences)
3. Ten species in one: DNA barcoding reveals cryptic species in the neotropical skipper butterfly Astraptes fulgerator. (Proceedings of the National Academy of Sciences of the United States of America)
4. Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)
5. MRBAYES: Bayesian inference of phylogenetic trees (Bioinform.)
6. MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. (Molecular biology and evolution)
7. UPARSE: highly accurate OTU sequences from microbial amplicon reads (Nature Methods)
8. Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring
9. Error filtering, pair assembly and error correction for next-generation sequencing reads (Bioinform.)
10. Biodiversity loss and its impact on humanity (Nature)

Their papers

• Can DNA-Based Ecosystem Assessments Quantify Species Abundance? Testing Primer Bias and Biomass—Sequence Relationships with an Innovative Metabarcoding Protocol (2015) — 698 citations
• Cryptic mitochondrial lineages in the widespread pycnogonid Colossendeis megalonyx Hoek, 1881 from Antarctic and Subantarctic waters (2010) — 109 citations
• Validation and Development of COI Metabarcoding Primers for Freshwater Macroinvertebrate Bioassessment (2017) — 436 citations
• Deep learning and computer vision will transform entomology (2020) — 382 citations
• Detecting signatures of positive selection in non-model species using genomic data (2018) — 85 citations
• Assessing strengths and weaknesses of DNA metabarcoding‐based macroinvertebrate identification for routine stream monitoring (2017) — 325 citations
• Short COI markers for freshwater macroinvertebrate metabarcoding (2017) — 220 citations
• Multiple-stressor effects on stream invertebrates: DNA barcoding reveals contrasting responses of cryptic mayfly species (2016) — 104 citations
• Patterns, processes and vulnerability of Southern Ocean benthos: a decadal leap in knowledge and understanding (2013) — 86 citations
• Genetic homogeneity and circum-Antarctic distribution of two benthic shrimp species of the Southern Ocean, Chorismus antarcticus and Nematocarcinus lanceopes (2010) — 94 citations