Melissa Eckert

10 papers and 518 indexed citations i.

About

Melissa Eckert is a scholar working on Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Melissa Eckert has authored 10 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Melissa Eckert’s work include Genetic diversity and population structure (3 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Ecology and Vegetation Dynamics Studies (2 papers). Melissa Eckert is often cited by papers focused on Genetic diversity and population structure (3 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Ecology and Vegetation Dynamics Studies (2 papers). Melissa Eckert collaborates with scholars based in United States, Canada and Belgium. Melissa Eckert's co-authors include Mia T Levine, Thomas L. Turner, David J Begun, Jing Shao, Evan P. Gallagher, Phillip F. Chance, Melissa A. Parisi, Ian Glass, Craig L. Bennett and Dennis Shaw and has published in prestigious journals such as Genetics, The American Journal of Human Genetics and Molecular Biology and Evolution.

In The Last Decade

Co-authorship network of co-authors of Melissa Eckert i

Fields of papers citing papers by Melissa Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Eckert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Melissa Eckert. The network helps show where Melissa Eckert may publish in the future.

Countries citing papers authored by Melissa Eckert

Since Specialization
Citations

This map shows the geographic impact of Melissa Eckert's research. 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 Melissa Eckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Eckert more than expected).

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.

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2025