Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery
- Journal
- Nano Letters
In The Last Decade
doi.org/10.1021/nl500618u →Countries where authors are citing Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery
This map shows the geographic impact of Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery. 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 Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery more than expected).
Fields of papers citing Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery
This network shows the impact of Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery.
About Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery
This paper, published in 2014, received 1.3k indexed citations . Written by Ronnie H. Fang, Che‐Ming Jack Hu, Brian T. Luk, Weiwei Gao, Jonathan A. Copp, Yi‐Yin Tai and Liangfang Zhang covering the research area of Immunology, Molecular Biology and Biomedical Engineering. It is primarily cited by scholars working on Biomedical Engineering (883 citations), Molecular Biology (612 citations) and Biomaterials (527 citations). Published in Nano Letters.
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/10.1021/nl500618u.