This map shows the geographic impact of research published in Transcription. 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 Transcription with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Transcription more than expected).
This network shows the impact of papers published in Transcription. 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 Transcription.
About Transcription
The 409 papers published in Transcription in the last decades have received a total of 8.3k indexed citations . Papers published in Transcription usually cover Molecular Biology (381 papers), Aging (6 papers), Cancer Research (33 papers), Genetics (56 papers) and Structural Biology (2 papers) specifically the topics of Genomics and Chromatin Dynamics (174 papers), RNA Research and Splicing (140 papers), RNA modifications and cancer (116 papers), RNA and protein synthesis mechanisms (116 papers), Bacterial Genetics and Biotechnology (38 papers), Epigenetics and DNA Methylation (36 papers), DNA Repair Mechanisms (29 papers) and Ubiquitin and proteasome pathways (28 papers). The most active scholars publishing in Transcription are Olivier Bensaude, Robert P. Fisher, Zachary F. Burton, Arno L. Greenleaf, Bijan K. Dey, Adam C. Mueller, Anindya Dutta, Joaquı́n M. Espinosa, Kevin V. Morris and Peter G. Hawkins.
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.