A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020
Impact in
Classified as
- Journal
- China CDC Weekly
In The Last Decade
doi.org/10.46234/ccdcw2020.017 →Countries where authors are citing A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020
This map shows the geographic impact of A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020. 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 Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020 more than expected).
Fields of papers citing A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020
This network shows the impact of A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020.
About A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020
This paper, published in 2020, received 501 indexed citations . Written by Wenjie Tan, Xiang Zhao, Xuejun Ma, Peihua Niu, Wenbo Xu, George F. Gao and Guizhen Wu covering the research area of Molecular Biology, Plant Science and Ecology. It is primarily cited by scholars working on Infectious Diseases (296 citations), Modeling and Simulation (84 citations), Radiology, Nuclear Medicine and Imaging (65 citations), Neurology (42 citations) and Molecular Biology (39 citations). Published in China CDC Weekly.
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/10.46234/ccdcw2020.017.