James Miller

24 papers and 463 indexed citations i.

About

James Miller is a scholar working on Molecular Biology, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, James Miller has authored 24 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in James Miller’s work include Bacterial biofilms and quorum sensing (3 papers), Inhalation and Respiratory Drug Delivery (3 papers) and Machine Learning in Healthcare (3 papers). James Miller is often cited by papers focused on Bacterial biofilms and quorum sensing (3 papers), Inhalation and Respiratory Drug Delivery (3 papers) and Machine Learning in Healthcare (3 papers). James Miller collaborates with scholars based in United States, United Kingdom and Italy. James Miller's co-authors include Arman Kilic, Artur Dubrawski, Thomas G. Gleason, Bei Yin, Daniel S. Miller, Thammajun L. Wood, Ting Gong, Thomas K. Wood, Lei Zhu and Laura A. Smith Callahan and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of James Miller i

Fields of papers citing papers by James Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Miller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James Miller. The network helps show where James Miller may publish in the future.

Countries citing papers authored by James Miller

Since Specialization
Citations

This map shows the geographic impact of James Miller's research. 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 James Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Miller 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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