Daniel Tan

About

Daniel Tan is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel Tan has authored 7 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 4 papers in Cognitive Neuroscience and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel Tan’s work include Muscle activation and electromyography studies (4 papers), Neuroscience and Neural Engineering (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Daniel Tan is often cited by papers focused on Muscle activation and electromyography studies (4 papers), Neuroscience and Neural Engineering (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Daniel Tan collaborates with scholars based in United States, Australia and Serbia. Daniel Tan's co-authors include Dustin J. Tyler, Matthew A. Schiefer, Michael W. Keith, Emily L. Graczyk, Jennifer A. Sweet, Jonathan P. Miller, Brian Dawson and Peter Peeling and has published in prestigious journals such as PLoS ONE, Science Translational Medicine and Journal of Neural Engineering.

In The Last Decade

Co-authorship network of co-authors of Daniel Tan i

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Fields of papers citing papers by Daniel Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Tan. 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 Daniel Tan. The network helps show where Daniel Tan may publish in the future.

Countries citing papers authored by Daniel Tan

Since Specialization

Citations

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