Evolutionary Applications
Q1 Journal
Open Access
Journal
Country
United States
Northern America
Subject Area and Category
Agricultural and Biological Sciences
└
Agricultural and Biological Sciences (miscellaneous)
Q1
└
Ecology, Evolution, Behavior and Systematics
Q1
└
Genetics
Q2
Publisher
SJR 2025
0.957
Q1
SJR Score
H-Index
102
Citations / Doc (2yr)
3.27
Total Docs. (latest)
124
Total Citations (3yr)
1,722
Publication type
Journals
ISSN
17524571
Coverage
2008-2026
Journal Rank
#5,240
Subject Categories
Agricultural and Biological Sciences (miscellaneous)
Q1
Ecology, Evolution, Behavior and Systematics
Q1
Genetics
Q2
Aims & Scope
Evolutionary Applications is a fully peer reviewed open access journal.
It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance.
Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology.
All taxonomic groups are covered from microbes, fungi, plants and animals.
In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework.
Theoretical, empirical, synthesis or perspective papers are welcome.
Abstracting & Indexing
Scopus
Google Scholar
Directory of Open Access Journals (DOAJ)
Web of Science
Detailed Metrics
| Total Docs. (latest) | 124 |
| Total Docs. (3 years) | 464 |
| Total Refs. | 11,375 |
| Total Citations (3 years) | 1,722 |
| Citable Docs. (3 years) | 461 |
| Citations / Doc. (2 years) | 3.27 |
| Ref. / Doc. | 91.73 |
| % Female | 40.7% |
Metrics Visualization
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