Eliza Baird-Daniel

8 papers and 236 indexed citations i.

About

Eliza Baird-Daniel is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Eliza Baird-Daniel has authored 8 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Cognitive Neuroscience and 2 papers in Neurology. Recurrent topics in Eliza Baird-Daniel’s work include Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neuroscience and Neural Engineering (2 papers). Eliza Baird-Daniel is often cited by papers focused on Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neuroscience and Neural Engineering (2 papers). Eliza Baird-Daniel collaborates with scholars based in United States and China. Eliza Baird-Daniel's co-authors include Ruidong Chen, Pavel A. Puzerey, Vikram Gadagkar, Jesse H. Goldberg, Andy Daniel, Jyun-you Liou, Hongtao Ma, Theodore H. Schwartz, Mingrui Zhao and Rafael Yuste and has published in prestigious journals such as Science, Brain and Cerebral Cortex.

In The Last Decade

Co-authorship network of co-authors of Eliza Baird-Daniel i

Fields of papers citing papers by Eliza Baird-Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eliza Baird-Daniel

Since Specialization
Citations

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