Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands
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doi.org/10.1038/35001095 →Countries where authors are citing Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands
This map shows the geographic impact of Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands. 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 Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands more than expected).
Fields of papers citing Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands
This network shows the impact of Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands.
About Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands
This paper, published in 2000, received 713 indexed citations . Written by Pavel I. Kitov, Joanna Sadowska, George L. Mulvey, Glen D. Armstrong, Hong Ling, N.S. Pannu, Randy J. Read and David R. Bundle covering the research area of Endocrinology, Organic Chemistry and Molecular Biology. It is primarily cited by scholars working on Molecular Biology (507 citations), Organic Chemistry (310 citations) and Endocrinology (138 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/10.1038/35001095.