Superconductivity in infinite-layer nickelate La 1−x Ca x NiO 2 thin films

160 indexed citations
published 2022

Countries where authors are citing Superconductivity in infinite-layer nickelate La 1−x Ca x NiO 2 thin films

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This map shows the geographic impact of Superconductivity in infinite-layer nickelate La 1−x Ca x NiO 2 thin films. 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 Superconductivity in infinite-layer nickelate La 1−x Ca x NiO 2 thin films with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Superconductivity in infinite-layer nickelate La 1−x Ca x NiO 2 thin films more than expected).

Fields of papers citing Superconductivity in infinite-layer nickelate La 1−x Ca x NiO 2 thin films

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Superconductivity in infinite-layer nickelate La 1−x Ca x NiO 2 thin films. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Superconductivity in infinite-layer nickelate La 1−x Ca x NiO 2 thin films.

About Superconductivity in infinite-layer nickelate La 1−x Ca x NiO 2 thin films

This paper, published in 2022, received 160 indexed citations . Written by Shengwei Zeng, Changjian Li, L. E. Chow, Yu Cao, Zhaoting Zhang, Chi Sin Tang, Xinmao Yin, Zhi Shiuh Lim, Junxiong Hu and Ping Yang covering the research area of Electronic, Optical and Magnetic Materials and Condensed Matter Physics. It is primarily cited by scholars working on Electronic, Optical and Magnetic Materials (142 citations), Condensed Matter Physics (133 citations) and Materials Chemistry (45 citations). Published in Science Advances.

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/10.1126/sciadv.abl9927.

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