Calcium-binding protein parvalbumin as a neuronal marker
- Authors
- Marco R. CelioClaus W. Heizmann
- Journal
- Nature
In The Last Decade
doi.org/10.1038/293300a0 →Countries where authors are citing Calcium-binding protein parvalbumin as a neuronal marker
This map shows the geographic impact of Calcium-binding protein parvalbumin as a neuronal marker. 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 Calcium-binding protein parvalbumin as a neuronal marker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Calcium-binding protein parvalbumin as a neuronal marker more than expected).
Fields of papers citing Calcium-binding protein parvalbumin as a neuronal marker
This network shows the impact of Calcium-binding protein parvalbumin as a neuronal marker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Calcium-binding protein parvalbumin as a neuronal marker.
About Calcium-binding protein parvalbumin as a neuronal marker
This paper, published in 1981, received 444 indexed citations . Written by Marco R. Celio and Claus W. Heizmann covering the research area of Molecular Biology, Atomic and Molecular Physics, and Optics and Cardiology and Cardiovascular Medicine. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (279 citations), Molecular Biology (218 citations) and Cognitive Neuroscience (75 citations). Published in Nature.
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/10.1038/293300a0.