"Protein A" from S. aureus. I. Pseudo-immune reaction with human gamma-globulin.
- Authors
- Arne ForsgrenJohn Sjöquist
- Journal
- PubMed
In The Last Decade
doi.org/w77323658 →Countries where authors are citing "Protein A" from S. aureus. I. Pseudo-immune reaction with human gamma-globulin.
This map shows the geographic impact of "Protein A" from S. aureus. I. Pseudo-immune reaction with human gamma-globulin.. 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 "Protein A" from S. aureus. I. Pseudo-immune reaction with human gamma-globulin. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites "Protein A" from S. aureus. I. Pseudo-immune reaction with human gamma-globulin. more than expected).
Fields of papers citing "Protein A" from S. aureus. I. Pseudo-immune reaction with human gamma-globulin.
This network shows the impact of "Protein A" from S. aureus. I. Pseudo-immune reaction with human gamma-globulin.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the "Protein A" from S. aureus. I. Pseudo-immune reaction with human gamma-globulin..
About "Protein A" from S. aureus. I. Pseudo-immune reaction with human gamma-globulin.
This paper, published in 1966, received 907 indexed citations . Written by Arne Forsgren and John Sjöquist covering the research area of Molecular Biology and Radiology, Nuclear Medicine and Imaging. It is primarily cited by scholars working on Molecular Biology (462 citations), Radiology, Nuclear Medicine and Imaging (303 citations) and Immunology (227 citations). Published in PubMed.
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/w77323658.