A robust SNP barcode for typing Mycobacterium tuberculosis complex strains

436 indexed citations

Abstract

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About

This paper, published in 2014, received 436 indexed citations. Written by Francesc Coll, Ruth McNerney, José Afonso Guerra‐Assunção, Judith R. Glynn, João Perdigão, Miguel Viveiros, Isabel Portugal, Arnab Pain, Nigel Martin and Taane G. Clark covering the research area of Epidemiology, Ecology and Infectious Diseases. It is primarily cited by scholars working on Infectious Diseases (402 citations), Epidemiology (390 citations) and Surgery (152 citations). Published in Nature Communications.

Countries where authors are citing A robust SNP barcode for typing Mycobacterium tuberculosis complex strains

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This map shows the geographic impact of A robust SNP barcode for typing Mycobacterium tuberculosis complex strains. 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 A robust SNP barcode for typing Mycobacterium tuberculosis complex strains with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A robust SNP barcode for typing Mycobacterium tuberculosis complex strains more than expected).

Fields of papers citing A robust SNP barcode for typing Mycobacterium tuberculosis complex strains

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A robust SNP barcode for typing Mycobacterium tuberculosis complex strains. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A robust SNP barcode for typing Mycobacterium tuberculosis complex strains.

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/ncomms5812.

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