Quantitative assessment on the cloning efficiencies of lentiviral transfer vectors with a unique clone site
- Authors
- Gang ZhangAnurag Tandon
- Journal
- Scientific Reports
In The Last Decade
doi.org/10.1038/srep00415 →Countries where authors are citing Quantitative assessment on the cloning efficiencies of lentiviral transfer vectors with a unique clone site
This map shows the geographic impact of Quantitative assessment on the cloning efficiencies of lentiviral transfer vectors with a unique clone site. 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 Quantitative assessment on the cloning efficiencies of lentiviral transfer vectors with a unique clone site with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantitative assessment on the cloning efficiencies of lentiviral transfer vectors with a unique clone site more than expected).
Fields of papers citing Quantitative assessment on the cloning efficiencies of lentiviral transfer vectors with a unique clone site
This network shows the impact of Quantitative assessment on the cloning efficiencies of lentiviral transfer vectors with a unique clone site. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Quantitative assessment on the cloning efficiencies of lentiviral transfer vectors with a unique clone site.
About Quantitative assessment on the cloning efficiencies of lentiviral transfer vectors with a unique clone site
This paper, published in 2012, received 928 indexed citations . Written by Gang Zhang and Anurag Tandon covering the research area of Genetics and Molecular Biology. It is primarily cited by scholars working on Electrical and Electronic Engineering (197 citations), Materials Chemistry (196 citations) and Biomedical Engineering (145 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/srep00415.