Electrophoretic analysis of the major polypeptides of the human erythrocyte membrane

8.0k indexed citations

Abstract

loading...

About

This paper, published in 1971, received 8.0k indexed citations. Written by Grant Fairbanks, Theodore L. Steck and Donald F. H. Wallach covering the research area of Molecular Biology, Physiology and Food Science. It is primarily cited by scholars working on Molecular Biology (4.6k citations), Physiology (2.2k citations) and Cell Biology (1.5k citations). Published in Biochemistry.

Countries where authors are citing Electrophoretic analysis of the major polypeptides of the human erythrocyte membrane

Specialization
Citations

This map shows the geographic impact of Electrophoretic analysis of the major polypeptides of the human erythrocyte membrane. 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 Electrophoretic analysis of the major polypeptides of the human erythrocyte membrane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Electrophoretic analysis of the major polypeptides of the human erythrocyte membrane more than expected).

Fields of papers citing Electrophoretic analysis of the major polypeptides of the human erythrocyte membrane

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Electrophoretic analysis of the major polypeptides of the human erythrocyte membrane. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Electrophoretic analysis of the major polypeptides of the human erythrocyte membrane.

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/bi00789a030.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026