Fluorescent Fiber-Optic Calcium Sensor for Physiological Measurements

595 indexed citations
published 1996

Countries where authors are citing Fluorescent Fiber-Optic Calcium Sensor for Physiological Measurements

Specialization
Citations

This map shows the geographic impact of Fluorescent Fiber-Optic Calcium Sensor for Physiological Measurements. 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 Fluorescent Fiber-Optic Calcium Sensor for Physiological Measurements with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fluorescent Fiber-Optic Calcium Sensor for Physiological Measurements more than expected).

Fields of papers citing Fluorescent Fiber-Optic Calcium Sensor for Physiological Measurements

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Fluorescent Fiber-Optic Calcium Sensor for Physiological Measurements. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fluorescent Fiber-Optic Calcium Sensor for Physiological Measurements.

About Fluorescent Fiber-Optic Calcium Sensor for Physiological Measurements

This paper, published in 1996, received 595 indexed citations . Written by Michael R. Shortreed, Raoul Kopelman and Michael Kuhn covering the research area of Bioengineering, Electrical and Electronic Engineering and Biomedical Engineering. It is primarily cited by scholars working on Spectroscopy (502 citations), Materials Chemistry (364 citations) and Molecular Biology (209 citations). Published in Analytical Chemistry.

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/ac950944k.

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