An T. Dao

34 total papers · 1.3k total citations
19 papers, 1.0k citations indexed

About

An T. Dao is a scholar working on Cellular and Molecular Neuroscience, Physiology and Behavioral Neuroscience. According to data from OpenAlex, An T. Dao has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Physiology and 5 papers in Behavioral Neuroscience. Recurrent topics in An T. Dao's work include Neuroscience and Neuropharmacology Research (10 papers), Stress Responses and Cortisol (5 papers) and Biochemical effects in animals (4 papers). An T. Dao is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Stress Responses and Cortisol (5 papers) and Biochemical effects in animals (4 papers). An T. Dao collaborates with scholars based in United States, Saudi Arabia and Japan. An T. Dao's co-authors include Karim A. Alkadhi, Munder Zagaar, Amber T. Levine, Samina Salim, Ibrahim A. Alhaider, Farida Allam, Gaurav Patki, Naimesh Solanki, Jason L. Eriksen and Iiris Hovatta and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Nutrition.

In The Last Decade

An T. Dao

19 papers receiving 983 citations

Author Peers

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

Author Last Decade Papers Cites
An T. Dao 353 288 217 199 154 19 1.0k
Deepti Nair 410 1.2× 398 1.4× 137 0.6× 165 0.8× 121 0.8× 13 1.0k
Amber T. Levine 208 0.6× 327 1.1× 95 0.4× 278 1.4× 188 1.2× 17 820
Hyukki Chang 336 1.0× 217 0.8× 145 0.7× 187 0.9× 113 0.7× 40 937
Huili Han 180 0.5× 323 1.1× 319 1.5× 528 2.7× 245 1.6× 30 1.2k
Fatin Atrooz 190 0.5× 154 0.5× 381 1.8× 120 0.6× 145 0.9× 31 1.1k
Jansen Fernandes 311 0.9× 153 0.5× 126 0.6× 201 1.0× 186 1.2× 16 964
Cristy Phillips 297 0.8× 143 0.5× 157 0.7× 214 1.1× 138 0.9× 14 1.1k
Paul V. Strong 259 0.7× 215 0.7× 369 1.7× 364 1.8× 119 0.8× 13 886
Gui-Hai Chen 204 0.6× 224 0.8× 111 0.5× 163 0.8× 236 1.5× 62 1.1k
Beate C. Finger 330 0.9× 223 0.8× 294 1.4× 226 1.1× 214 1.4× 23 1.2k

Countries citing papers authored by An T. Dao

Since Specialization
Citations

This map shows the geographic impact of An T. Dao'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 An T. Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An T. Dao more than expected).

Fields of papers citing papers by An T. Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by An T. Dao. 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 An T. Dao. The network helps show where An T. Dao may publish in the future.

Co-authorship network of co-authors of An T. Dao

This figure shows the co-authorship network connecting the top 25 collaborators of An T. Dao. A scholar is included among the top collaborators of An T. Dao 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 An T. Dao. An T. Dao 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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