Countries where authors publish in Drug Discovery Today Disease Models
Since Specialization
Citations
This map shows the geographic impact of research published in Drug Discovery Today Disease Models. 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 Discovery Today Disease Models with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drug Discovery Today Disease Models more than expected).
Fields of papers published in Drug Discovery Today Disease Models
This network shows the impact of papers published in Drug Discovery Today Disease Models. 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 Discovery Today Disease Models.
About Drug Discovery Today Disease Models
The 433 papers published in Drug Discovery Today Disease Models in the last decades have received a total of 5.0k indexed citations . Papers published in Drug Discovery Today Disease Models usually cover Aging (12 papers), Immunology and Allergy (18 papers), Endocrine and Autonomic Systems (19 papers), Immunology (52 papers) and Biological Psychiatry (6 papers) specifically the topics of Receptor Mechanisms and Signaling (28 papers), Asthma and respiratory diseases (21 papers), Cardiac electrophysiology and arrhythmias (18 papers), Computational Drug Discovery Methods (16 papers), Cancer Cells and Metastasis (15 papers), Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (14 papers) and Inhalation and Respiratory Drug Delivery (14 papers). The most active scholars publishing in Drug Discovery Today Disease Models are Jan M. Deussing, Haichun Yang, Agnes B. Fogo, Yiqin Zuo, George F. Koob, Herbert H. Lipowsky, Sean B. Ostlund, Bernard W. Balleine, Donatella Donati and Rebeca Rico-Hesse.
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.