Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site
- Journal
- Nature Structural Biology
In The Last Decade
doi.org/10.1038/nsb770 →Countries where authors are citing Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site
This map shows the geographic impact of Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site. 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 Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site more than expected).
Fields of papers citing Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site
This network shows the impact of Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site.
About Inhibition of p38 MAP kinase by utilizing a novel allosteric binding site
This paper, published in 2002, received 669 indexed citations . Written by Christopher Pargellis, Liang Tong, Laurie Churchill, Pier F. Cirillo, Thomas D. Gilmore, Anne G. Graham, Peter M. Grob, Eugene R. Hickey, Neil Moss and Susan Pav covering the research area of Molecular Biology, Cancer Research and Organic Chemistry. It is primarily cited by scholars working on Molecular Biology (515 citations), Computational Theory and Mathematics (197 citations) and Organic Chemistry (160 citations). Published in Nature Structural Biology.
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/nsb770.