Countries where authors publish in Gene Expression Patterns
Since Specialization
Citations
This map shows the geographic impact of research published in Gene Expression Patterns. 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 Gene Expression Patterns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gene Expression Patterns more than expected).
Fields of papers published in Gene Expression Patterns
This network shows the impact of papers published in Gene Expression Patterns. 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 Gene Expression Patterns.
About Gene Expression Patterns
The 1.3k papers published in Gene Expression Patterns in the last decades have received a total of 29.1k indexed citations . Papers published in Gene Expression Patterns usually cover Aging (30 papers), Developmental Neuroscience (62 papers), Molecular Biology (1.0k papers), Cell Biology (243 papers) and Genetics (285 papers) specifically the topics of Developmental Biology and Gene Regulation (313 papers), Congenital heart defects research (190 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (97 papers), Zebrafish Biomedical Research Applications (95 papers), Epigenetics and DNA Methylation (85 papers), Wnt/β-catenin signaling in development and cancer (84 papers), RNA Research and Splicing (74 papers) and Animal Genetics and Reproduction (70 papers). The most active scholars publishing in Gene Expression Patterns are Pamela A. Raymond, Rebecca Bernardos, Hermann Aberle, Subhabrata Sanyal, Eric H. Davidson, Toshihiro Kitamoto, Paul M. Salvaterra, John H. Postlethwait, Dong‐Hua Yang and Eric G. Moss.
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.