Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signalling
- Authors
- Ruey‐Bing YangMelanie R. MarkArthur HuangMing XieMin Zhang
- Journal
- Nature
In The Last Decade
doi.org/10.1038/26239 →Countries where authors are citing Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signalling
This map shows the geographic impact of Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signalling. 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 Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signalling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signalling more than expected).
Fields of papers citing Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signalling
This network shows the impact of Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signalling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signalling.
About Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signalling
This paper, published in 1998, received 1.0k indexed citations . Written by Ruey‐Bing Yang, Melanie R. Mark, Arthur Huang, Ming Xie, Min Zhang, Audrey D. Goddard, William I. Wood, Austin Gurney and Paul J. Godowski covering the research area of Immunology. It is primarily cited by scholars working on Immunology (765 citations), Molecular Biology (231 citations) and Cancer Research (189 citations). Published in Nature.
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/10.1038/26239.