Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes
In The Last Decade
doi.org/w57861860 →Countries where authors are citing Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes
This map shows the geographic impact of Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes. 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 Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes more than expected).
Fields of papers citing Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes
This network shows the impact of Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes.
About Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes
This paper, published in 2011, received 917 indexed citations . Written by Gail L. Woods, Barbara A. Brown‐Elliott, Patricia S. Conville, Edward Desmond, Geraldine S. Hall, Grace Lin, Gaby E. Pfyffer, John C. Ridderhof, Salman H. Siddiqi and Richard J. Wallace covering the research area of Microbiology, Epidemiology and Small Animals. It is primarily cited by scholars working on Epidemiology (728 citations), Infectious Diseases (608 citations) and Small Animals (373 citations).
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/w57861860.