Countries where authors publish in Environmental DNA
Since Specialization
Citations
This map shows the geographic impact of research published in Environmental DNA. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Environmental DNA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Environmental DNA more than expected).
This network shows the impact of papers published in Environmental DNA. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Environmental DNA.
About Environmental DNA
The 720 papers published in Environmental DNA in the last decades have received a total of 12.4k indexed citations . Papers published in Environmental DNA usually cover Ecology (686 papers), Ecological Modeling (85 papers), Nature and Landscape Conservation (100 papers), Molecular Biology (532 papers) and Endocrinology (9 papers) specifically the topics of Environmental DNA in Biodiversity Studies (664 papers), Identification and Quantification in Food (415 papers), Microbial Community Ecology and Physiology (351 papers), Fish Ecology and Management Studies (96 papers), Species Distribution and Climate Change (85 papers), Protist diversity and phylogeny (78 papers), Genomics and Phylogenetic Studies (48 papers) and Isotope Analysis in Ecology (28 papers). The most active scholars publishing in Environmental DNA are Hiroki Yamanaka, Louis Bernatchez, Toshifumi Minamoto, Hideyuki Doi, Matthew C. Yates, Satsuki Tsuji, Alison M. Derry, Dylan J. Fraser, Naoki Shibata and Raquel Xavier.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.