Inhibitory activities of marine sulfated polysaccharides against SARS-CoV-2
- Journal
- Food & Function
In The Last Decade
doi.org/10.1039/d0fo02017f →Countries where authors are citing Inhibitory activities of marine sulfated polysaccharides against SARS-CoV-2
This map shows the geographic impact of Inhibitory activities of marine sulfated polysaccharides against SARS-CoV-2. 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 Inhibitory activities of marine sulfated polysaccharides against SARS-CoV-2 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inhibitory activities of marine sulfated polysaccharides against SARS-CoV-2 more than expected).
Fields of papers citing Inhibitory activities of marine sulfated polysaccharides against SARS-CoV-2
This network shows the impact of Inhibitory activities of marine sulfated polysaccharides against SARS-CoV-2. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Inhibitory activities of marine sulfated polysaccharides against SARS-CoV-2.
About Inhibitory activities of marine sulfated polysaccharides against SARS-CoV-2
This paper, published in 2020, received 162 indexed citations . Written by Shuang Song, Haoran Peng, Qingling Wang, Zhengqi Liu, Xiuping Dong, Chengrong Wen, Chunqing Ai, Yujiao Zhang, Zhongfu Wang and Beiwei Zhu covering the research area of Aquatic Science. It is primarily cited by scholars working on Aquatic Science (86 citations), Molecular Biology (33 citations) and Infectious Diseases (23 citations). Published in Food & Function.
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/10.1039/d0fo02017f.