What is he best known for?
The fields of study he is best known for:
Genetic diversity, Ecology, Natural selection, Botany and Hordeum are his primary areas of study.
His Genetic diversity research incorporates themes from Evolutionary biology, Genetics, Genetic variability and Population genetics.
His studies in Evolutionary biology integrate themes in fields like Genetic drift, Evolutionary significance, Mutation and Life history.
His Genotype research extends to the thematically linked field of Ecology.
His studies deal with areas such as Microsite and Edaphic as well as Natural selection.
Avigdor Beiles has included themes like Soil classification and Terra rossa in his Botany study.
His most cited work include:
- Microsatellites: genomic distribution, putative functions and mutational mechanisms: a review. (919 citations)
- The Evolutionary Significance of Genetic Diversity: Ecological, Demographic and Life History Correlates (648 citations)
- Genetic diversity of wild emmer wheat in Israel and Turkey : Structure, evolution, and application in breeding. (178 citations)
What are the main themes of his work throughout his whole career to date?
Avigdor Beiles spends much of his time researching Ecology, Botany, Genetic diversity, Genetics and Natural selection.
His Ecology study combines topics from a wide range of disciplines, such as Microsite, Zoology and Genotype.
As part of one scientific family, he deals mainly with the area of Zoology, narrowing it down to issues related to the Spalax, and often Gene flow.
His research integrates issues of Plant disease resistance and Deserts and xeric shrublands in his study of Botany.
His work deals with themes such as Evolutionary biology, Genetic variability, Population genetics and Range, which intersect with Genetic diversity.
His Natural selection study incorporates themes from Adaptation, Edaphic, RAPD and Soil classification.
He most often published in these fields:
- Ecology (38.81%)
- Botany (29.10%)
- Genetic diversity (26.12%)
What were the highlights of his more recent work (between 2009-2019)?
- Ecology (38.81%)
- Genetics (26.12%)
- Biodiversity (5.97%)
In recent papers he was focusing on the following fields of study:
Avigdor Beiles mainly investigates Ecology, Genetics, Biodiversity, Sympatric speciation and Adaptation.
His Ecology research incorporates elements of Spalax, Animal feed and Genetic diversity.
Avigdor Beiles is interested in Genetic structure, which is a field of Genetic diversity.
Avigdor Beiles focuses mostly in the field of Genetic structure, narrowing it down to matters related to Evolutionary biology and, in some cases, Allele.
His research investigates the connection between Biodiversity and topics such as Botany that intersect with problems in Agronomy.
As a part of the same scientific family, Avigdor Beiles mostly works in the field of Adaptation, focusing on Zoology and, on occasion, Medical therapy and Adaptive evolution.
Between 2009 and 2019, his most popular works were:
- Tibet is one of the centers of domestication of cultivated barley (159 citations)
- Evolution of wild cereals during 28 years of global warming in Israel (126 citations)
- Possible incipient sympatric ecological speciation in blind mole rats (Spalax). (39 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Ecology, Hordeum, Genetic variation, Spalacidae and Spalax.
His study in Ecology is interdisciplinary in nature, drawing from both Natural selection, Single-nucleotide polymorphism and Genetic structure.
His work carried out in the field of Hordeum brings together such families of science as Global warming, Climate change, Staple food, Animal feed and Allele.
Avigdor Beiles has researched Genetic variation in several fields, including SNP, Range, Genetic diversity and Evolutionary biology.
The study incorporates disciplines such as Genetic Speciation, Allopatric speciation, Speciation, Ecological speciation and Sympatric speciation in addition to Spalacidae.
His work on Spalax is being expanded to include thematically relevant topics such as Gene flow.
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.
