Countries where authors publish in Gene Expression
Since Specialization
Citations
This map shows the geographic impact of research published in Gene Expression. 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 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 more than expected).
This network shows the impact of papers published in Gene Expression. 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.
About Gene Expression
The 365 papers published in Gene Expression in the last decades have received a total of 8.2k indexed citations . Papers published in Gene Expression usually cover Hepatology (62 papers), Cancer Research (51 papers), Molecular Biology (208 papers), Epidemiology (60 papers) and Cell Biology (31 papers) specifically the topics of Liver Disease Diagnosis and Treatment (48 papers), Liver physiology and pathology (41 papers), RNA Research and Splicing (27 papers), RNA modifications and cancer (22 papers), MicroRNA in disease regulation (21 papers), Genomics and Chromatin Dynamics (19 papers), RNA and protein synthesis mechanisms (18 papers) and Drug Transport and Resistance Mechanisms (17 papers). The most active scholars publishing in Gene Expression are John Y.L. Chiang, Jessica M. Ferrell, Satdarshan P. Monga, Hartmut Jaeschke, Takanori Konishi, Alex B. Lentsch, Paulette Bernd, Anup Ramachandran, Christopher C. Wolford and Tsonwin Hai.
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.