CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus
- Journal
- Scientific Reports
In The Last Decade
doi.org/10.1038/srep10833 →Countries where authors are citing CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus
This map shows the geographic impact of CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus. 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 CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus more than expected).
Fields of papers citing CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus
This network shows the impact of CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus.
About CRISPR/Cas9 cleavage of viral DNA efficiently suppresses hepatitis B virus
This paper, published in 2015, received 244 indexed citations . Written by Vyas Ramanan, Amir Shlomai, David Cox, Robert E. Schwartz, Eleftherios Michailidis, Ankit Bhatta, David Scott, Feng Zhang, Charles M. Rice and Sangeeta N. Bhatia covering the research area of Molecular Biology and Infectious Diseases. It is primarily cited by scholars working on Molecular Biology (183 citations), Epidemiology (107 citations) and Hepatology (54 citations). Published in Scientific Reports.
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/srep10833.