A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike
- Authors
- Shuai XiaLei YanWei XuAnurodh Shankar AgrawalAbdullah Algaissi
- Journal
- Science Advances
In The Last Decade
doi.org/10.1126/sciadv.aav4580 →Countries where authors are citing A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike
This map shows the geographic impact of A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike. 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 A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike more than expected).
Fields of papers citing A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike
This network shows the impact of A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike.
About A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike
This paper, published in 2019, received 374 indexed citations . Written by Shuai Xia, Lei Yan, Wei Xu, Anurodh Shankar Agrawal, Abdullah Algaissi, Chien‐Te K. Tseng, Qian Wang, Lanying Du, Wenjie Tan and Ian A. Wilson covering the research area of Animal Science and Zoology and Infectious Diseases. It is primarily cited by scholars working on Infectious Diseases (308 citations), Molecular Biology (106 citations) and Computational Theory and Mathematics (64 citations). Published in Science Advances.
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/10.1126/sciadv.aav4580.