Pao‐Luh Tao

103 papers and 2.3k indexed citations i.

About

Pao‐Luh Tao is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Pao‐Luh Tao has authored 103 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cellular and Molecular Neuroscience, 52 papers in Molecular Biology and 45 papers in Physiology. Recurrent topics in Pao‐Luh Tao’s work include Neuropeptides and Animal Physiology (54 papers), Pain Mechanisms and Treatments (44 papers) and Neuroscience and Neuropharmacology Research (28 papers). Pao‐Luh Tao is often cited by papers focused on Neuropeptides and Animal Physiology (54 papers), Pain Mechanisms and Treatments (44 papers) and Neuroscience and Neuropharmacology Research (28 papers). Pao‐Luh Tao collaborates with scholars based in Taiwan, United States and India. Pao‐Luh Tao's co-authors include Eagle Yi‐Kung Huang, Horace H. Loh, Ping‐Yee Law, Chih‐Shung Wong, Yueh-Hua Tai, Jhi‐Joung Wang, Geng‐Chang Yeh, Che‐Se Tung, Shung‐Tai Ho and Shiou‐Lan Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Pao‐Luh Tao i

Fields of papers citing papers by Pao‐Luh Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pao‐Luh Tao. 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 Pao‐Luh Tao. The network helps show where Pao‐Luh Tao may publish in the future.

Countries citing papers authored by Pao‐Luh Tao

Since Specialization
Citations

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