Recent Patents on Anti-Infective Drug Discovery

293 papers and 5.5k indexed citations i.

About

The 293 papers published in Recent Patents on Anti-Infective Drug Discovery in the last decades have received a total of 5.5k indexed citations. Papers published in Recent Patents on Anti-Infective Drug Discovery usually cover Infectious Diseases (72 papers), Molecular Biology (68 papers) and Epidemiology (48 papers) specifically the topics of Tuberculosis Research and Epidemiology (25 papers), Antibiotic Resistance in Bacteria (21 papers) and Phenothiazines and Benzothiazines Synthesis and Activities (21 papers). The most active scholars publishing in Recent Patents on Anti-Infective Drug Discovery are Michael R. Hamblin, Ying‐Ying Huang, Felipe Fornias Sperandio, Andrew P. Desbois, Ashima Kushwaha Bhardwaj, Antonia Nostro, Teresa Papalia, Vilma G. Duschak, Junko Koyama and Mary Cloud B. Ammons.

In The Last Decade

Fields of papers published in Recent Patents on Anti-Infective Drug Discovery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Recent Patents on Anti-Infective Drug Discovery. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Recent Patents on Anti-Infective Drug Discovery.

Countries where authors publish in Recent Patents on Anti-Infective Drug Discovery

Since Specialization
Citations

This map shows the geographic impact of research published in Recent Patents on Anti-Infective Drug Discovery. 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 papers published in Recent Patents on Anti-Infective Drug Discovery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Recent Patents on Anti-Infective Drug Discovery more than expected).

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.

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