Group‐specific primer and probe sets to detect methanogenic communities using quantitative real‐time polymerase chain reaction

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This paper, published in 1950, received 1.3k indexed citations. Written by Youngseob Yu, Changsoo Lee, Jaai Kim and Seokhwan Hwang covering the research area of Molecular Biology, Building and Construction and Ecology. It is primarily cited by scholars working on Molecular Biology (420 citations), Ecology (402 citations) and Building and Construction (400 citations). Published in Biotechnology and Bioengineering.

Countries where authors are citing Group‐specific primer and probe sets to detect methanogenic communities using quantitative real‐time polymerase chain reaction

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This map shows the geographic impact of Group‐specific primer and probe sets to detect methanogenic communities using quantitative real‐time polymerase chain reaction. 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 Group‐specific primer and probe sets to detect methanogenic communities using quantitative real‐time polymerase chain reaction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Group‐specific primer and probe sets to detect methanogenic communities using quantitative real‐time polymerase chain reaction more than expected).

Fields of papers citing Group‐specific primer and probe sets to detect methanogenic communities using quantitative real‐time polymerase chain reaction

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Group‐specific primer and probe sets to detect methanogenic communities using quantitative real‐time polymerase chain reaction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Group‐specific primer and probe sets to detect methanogenic communities using quantitative real‐time polymerase chain reaction.

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/10.1002/bit.20347.

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