Antibody arrays for high-throughput screening of antibody–antigen interactions
- Journal
- Nature Biotechnology
In The Last Decade
doi.org/10.1038/79494 →Countries where authors are citing Antibody arrays for high-throughput screening of antibody–antigen interactions
This map shows the geographic impact of Antibody arrays for high-throughput screening of antibody–antigen interactions. 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 Antibody arrays for high-throughput screening of antibody–antigen interactions with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antibody arrays for high-throughput screening of antibody–antigen interactions more than expected).
Fields of papers citing Antibody arrays for high-throughput screening of antibody–antigen interactions
This network shows the impact of Antibody arrays for high-throughput screening of antibody–antigen interactions. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Antibody arrays for high-throughput screening of antibody–antigen interactions.
About Antibody arrays for high-throughput screening of antibody–antigen interactions
This paper, published in 2000, received 516 indexed citations . Written by Ruud M. T. de Wildt, B.D. Gorick and Ian M. Tomlinson covering the research area of Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. It is primarily cited by scholars working on Molecular Biology (446 citations), Radiology, Nuclear Medicine and Imaging (327 citations) and Biomedical Engineering (106 citations). Published in Nature Biotechnology.
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/10.1038/79494.