Regulatory element detection using correlation with expression
Impact in
- Genetics 67
Classified as
- Journal
- Nature Genetics
In The Last Decade
doi.org/10.1038/84792 →Countries where authors are citing Regulatory element detection using correlation with expression
This map shows the geographic impact of Regulatory element detection using correlation with 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 Regulatory element detection using correlation with expression with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Regulatory element detection using correlation with expression more than expected).
Fields of papers citing Regulatory element detection using correlation with expression
This network shows the impact of Regulatory element detection using correlation with expression. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Regulatory element detection using correlation with expression.
About Regulatory element detection using correlation with expression
This paper, published in 2001, received 534 indexed citations . Written by Harmen J. Bussemaker, Hao Li and Eric D. Siggia covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (455 citations), Genetics (67 citations), Plant Science (31 citations), Cancer Research (23 citations) and Artificial Intelligence (16 citations). Published in Nature Genetics.
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.
This paper is also available at doi.org/10.1038/84792.