Eliza Baird-Daniel

14 total papers · 453 total citations
9 papers, 257 citations indexed

About

Eliza Baird-Daniel is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Eliza Baird-Daniel has authored 9 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Neurology and 3 papers in Cognitive Neuroscience. Recurrent topics in Eliza Baird-Daniel's work include Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (3 papers) and Neurosurgical Procedures and Complications (2 papers). Eliza Baird-Daniel is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (3 papers) and Neurosurgical Procedures and Complications (2 papers). Eliza Baird-Daniel collaborates with scholars based in United States and China. Eliza Baird-Daniel's co-authors include Ruidong Chen, Vikram Gadagkar, Pavel A. Puzerey, Jesse H. Goldberg, Hongtao Ma, Theodore H. Schwartz, Andy Daniel, Jyun-you Liou, Mingrui Zhao and Rafael Yuste and has published in prestigious journals such as Science, Brain and Cerebral Cortex.

In The Last Decade

Eliza Baird-Daniel

9 papers receiving 255 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eliza Baird-Daniel 113 106 91 83 54 9 257
Kalman A. Katlowitz 151 1.3× 63 0.6× 103 1.1× 85 1.0× 51 0.9× 18 327
Pavel A. Puzerey 89 0.8× 73 0.7× 135 1.5× 126 1.5× 79 1.5× 9 315
Arkarup Banerjee 64 0.6× 125 1.2× 87 1.0× 51 0.6× 24 0.4× 10 304
Martin Stacho 130 1.2× 68 0.6× 77 0.8× 80 1.0× 36 0.7× 11 291
Diane W. Lee 74 0.7× 101 1.0× 40 0.4× 48 0.6× 27 0.5× 8 286
Dwight H. Hector 53 0.5× 97 0.9× 87 1.0× 79 1.0× 83 1.5× 7 299
Georg Kosche 109 1.0× 84 0.8× 114 1.3× 103 1.2× 80 1.5× 5 274
Grégory C. Nordmann 60 0.5× 63 0.6× 16 0.2× 22 0.3× 42 0.8× 11 288
Lili Cai 79 0.7× 104 1.0× 47 0.5× 21 0.3× 16 0.3× 10 300
Noemi Rook 135 1.2× 35 0.3× 60 0.7× 70 0.8× 27 0.5× 12 279

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Eliza Baird-Daniel. A scholar is included among the top collaborators of Eliza Baird-Daniel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eliza Baird-Daniel. Eliza Baird-Daniel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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