Drug Discoveries & Therapeutics

689 papers and 8.1k indexed citations i.

About

The 689 papers published in Drug Discoveries & Therapeutics in the last decades have received a total of 8.1k indexed citations. Papers published in Drug Discoveries & Therapeutics usually cover Molecular Biology (166 papers), Epidemiology (84 papers) and Infectious Diseases (81 papers) specifically the topics of COVID-19 Clinical Research Studies (29 papers), Invertebrate Immune Response Mechanisms (27 papers) and SARS-CoV-2 and COVID-19 Research (27 papers). The most active scholars publishing in Drug Discoveries & Therapeutics are Jianjun Gao, Liying Dong, Shasha Hu, Kazuhisa Sekimizu, Siriporn Okonogi, Peipei Song, Wei Tang, Hiroshi Hamamoto, Yasuhiko Matsumoto and Sakornrat Khongkhunthian.

In The Last Decade

Fields of papers published in Drug Discoveries & Therapeutics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Drug Discoveries & Therapeutics. 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 Drug Discoveries & Therapeutics.

Countries where authors publish in Drug Discoveries & Therapeutics

Since Specialization
Citations

This map shows the geographic impact of research published in Drug Discoveries & Therapeutics. 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 Drug Discoveries & Therapeutics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drug Discoveries & Therapeutics 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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2025