DGIdb: mining the druggable genome
Impact in
Classified as
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.2689 →Countries where authors are citing DGIdb: mining the druggable genome
This map shows the geographic impact of DGIdb: mining the druggable genome. 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 DGIdb: mining the druggable genome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DGIdb: mining the druggable genome more than expected).
Fields of papers citing DGIdb: mining the druggable genome
This network shows the impact of DGIdb: mining the druggable genome. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the DGIdb: mining the druggable genome.
About DGIdb: mining the druggable genome
This paper, published in 2013, received 414 indexed citations . Written by Malachi Griffith, Obi L. Griffith, Adam C. Coffman, Nicholas C. Spies, Indraniel Das, James M. Eldred, Christopher A. Miller, Janakiraman Subramanian, Ramaswamy Govindan and Runjun D. Kumar covering the research area of Pharmacology, Computational Theory and Mathematics and Molecular Biology. It is primarily cited by scholars working on Molecular Biology (232 citations), Cancer Research (83 citations), Computational Theory and Mathematics (61 citations), Genetics (48 citations) and Oncology (36 citations). Published in Nature Methods.
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/nmeth.2689.