What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Ecology, Species richness, Habitat, Biodiversity and Coral.
Ecology is a component of his Ecosystem, Mangrove, Coral reef, Archipelago and Beta diversity studies.
The study incorporates disciplines such as Host and Species diversity in addition to Species richness.
His work carried out in the field of Habitat brings together such families of science as Species evenness and Abundance.
His study in the field of Ecosystem diversity, Alpha diversity and Body size and species richness is also linked to topics like Cichlid.
His work deals with themes such as Reef and Ruderal species, which intersect with Coral.
His most cited work include:
- Denaturing gradient gel electrophoresis and barcoded pyrosequencing reveal unprecedented archaeal diversity in mangrove sediment and rhizosphere samples. (154 citations)
- The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts (120 citations)
- An examination of scale of assessment, logging and ENSO-induced fires on butterfly diversity in Borneo (103 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Ecology, Species richness, Coral reef, Habitat and Biodiversity.
His research on Ecology often connects related topics like Sponge.
His Species richness research incorporates themes from Rainforest, Logging, Generalist and specialist species and Species diversity.
His work on Xestospongia testudinaria as part of general Coral reef research is frequently linked to Stylissa carteri, bridging the gap between disciplines.
His study looks at the relationship between Habitat and fields such as Biological dispersal, as well as how they intersect with chemical problems.
He focuses mostly in the field of Biodiversity, narrowing it down to matters related to Ecology and, in some cases, Metacommunity.
He most often published in these fields:
- Ecology (102.38%)
- Species richness (45.24%)
- Coral reef (31.55%)
What were the highlights of his more recent work (between 2018-2021)?
- Ecology (102.38%)
- Coral reef (31.55%)
- Sponge (13.69%)
In recent papers he was focusing on the following fields of study:
His main research concerns Ecology, Coral reef, Sponge, Metacommunity and Species richness.
His work on Plankton as part of his general Ecology study is frequently connected to Fish farming, thereby bridging the divide between different branches of science.
His research on Coral reef often connects related areas such as Coral.
Daniel F. R. Cleary interconnects Seawater and Biotope in the investigation of issues within Sponge.
His biological study spans a wide range of topics, including Microbiome, Range, Biodiversity, Prokaryote and Ecology.
He has included themes like Operational taxonomic unit, Xestospongia testudinaria, Zoology and Abundance in his Species richness study.
Between 2018 and 2021, his most popular works were:
- A global database for metacommunity ecology, integrating species, traits, environment and space (28 citations)
- A global database for metacommunity ecology, integrating species, traits, environment and space (28 citations)
- The sponge microbiome within the greater coral reef microbial metacommunity. (28 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Ecology, Metacommunity, Sponge, Species richness and Bacterioplankton.
Daniel F. R. Cleary connects Ecology with Trait in his research.
His study in Metacommunity is interdisciplinary in nature, drawing from both Taxonomic rank, Biodiversity, Ecology and Life history theory.
His Sponge study incorporates themes from Microbiome, Range, Coral reef, Prokaryote and Operational taxonomic unit.
His research in Species richness intersects with topics in Hymeniacidon, Demosponge, Relative species abundance and Agelas.
Bacterioplankton is connected with Fish farming, Trophic level, Plankton, Microbial population biology and Sea bass in his research.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
