Isolating and engineering human antibodies using yeast surface display
- Journal
- Nature Protocols
In The Last Decade
doi.org/10.1038/nprot.2006.94 →Countries where authors are citing Isolating and engineering human antibodies using yeast surface display
This map shows the geographic impact of Isolating and engineering human antibodies using yeast surface display. 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 Isolating and engineering human antibodies using yeast surface display with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isolating and engineering human antibodies using yeast surface display more than expected).
Fields of papers citing Isolating and engineering human antibodies using yeast surface display
This network shows the impact of Isolating and engineering human antibodies using yeast surface display. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Isolating and engineering human antibodies using yeast surface display.
About Isolating and engineering human antibodies using yeast surface display
This paper, published in 2006, received 687 indexed citations . Written by Ginger Chao, Wai Leung Lau, Benjamin J. Hackel, Stephen L. Sazinsky, Shaun M. Lippow and K. Dane Wittrup covering the research area of Biotechnology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. It is primarily cited by scholars working on Molecular Biology (495 citations), Radiology, Nuclear Medicine and Imaging (384 citations) and Immunology (136 citations). Published in Nature Protocols.
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/nprot.2006.94.