Pao‐Luh Tao

2.8k total citations
105 papers, 2.3k citations indexed

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 105 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Cellular and Molecular Neuroscience, 53 papers in Molecular Biology and 45 papers in Physiology. Recurrent topics in Pao‐Luh Tao's work include Neuropeptides and Animal Physiology (55 papers), Pain Mechanisms and Treatments (44 papers) and Receptor Mechanisms and Signaling (29 papers). Pao‐Luh Tao is often cited by papers focused on Neuropeptides and Animal Physiology (55 papers), Pain Mechanisms and Treatments (44 papers) and Receptor Mechanisms and Signaling (29 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, Jhi‐Joung Wang, Yueh-Hua Tai, 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 Scientific Reports.

In The Last Decade

Pao‐Luh Tao

102 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pao‐Luh Tao Taiwan 28 1.4k 896 842 250 185 105 2.3k
Kelly M. Standifer United States 23 1.5k 1.1× 1.3k 1.5× 767 0.9× 118 0.5× 98 0.5× 64 2.2k
Geoffrey N. Woodruff United Kingdom 21 1.8k 1.3× 1.5k 1.6× 755 0.9× 252 1.0× 69 0.4× 39 2.8k
Sanzio Candeletti Italy 25 1.2k 0.9× 916 1.0× 727 0.9× 134 0.5× 108 0.6× 117 2.2k
Gregory Corder United States 16 1.2k 0.9× 1.0k 1.1× 1.1k 1.3× 112 0.4× 92 0.5× 24 2.2k
Yuri Kolesnikov United States 23 1.2k 0.9× 744 0.8× 1.1k 1.3× 135 0.5× 90 0.5× 43 1.9k
F. Cesselin France 30 2.3k 1.6× 1.2k 1.3× 1.6k 1.9× 97 0.4× 96 0.5× 73 2.9k
Alexander T. McKnight United Kingdom 21 1.5k 1.1× 1.2k 1.4× 672 0.8× 55 0.2× 110 0.6× 33 2.0k
Gavril W. Pasternak United States 30 2.7k 2.0× 2.4k 2.7× 1.5k 1.7× 142 0.6× 139 0.8× 45 3.6k
Bernard Francès France 24 954 0.7× 728 0.8× 478 0.6× 55 0.2× 95 0.5× 55 1.7k
L. Singh United Kingdom 16 899 0.7× 653 0.7× 520 0.6× 76 0.3× 69 0.4× 34 1.4k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Pao‐Luh Tao. A scholar is included among the top collaborators of Pao‐Luh Tao 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 Pao‐Luh Tao. Pao‐Luh Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Yeh, Teng‐Kuang, et al.. (2019). Delta-opioid receptor antagonist naltrindole reduces oxycodone addiction and constipation in mice. European Journal of Pharmacology. 852. 265–273. 13 indexed citations
4.
Yeh, Geng‐Chang, et al.. (2015). Effects of dextromethorphan and oxycodone on treatment of neuropathic pain in mice. Journal of Biomedical Science. 22(1). 81–81. 28 indexed citations
5.
Chow, Lok‐Hi, Pao‐Luh Tao, Yuan-Hao Chen, Yu‐Hui Lin, & Eagle Yi‐Kung Huang. (2015). Angiotensin IV possibly acts through PKMzeta in the hippocampus to regulate cognitive memory in rats. Neuropeptides. 53. 1–10. 8 indexed citations
6.
Tsai, Ru‐Yin, Ching‐Hui Shen, Chih‐Cheng Chien, et al.. (2012). Resveratrol Regulates N-Methyl-D-Aspartate Receptor Expression and Suppresses Neuroinflammation in Morphine-Tolerant Rats. Anesthesia & Analgesia. 115(4). 944–952. 39 indexed citations
7.
Hsin, I‐Lun, et al.. (2012). p53 Acts as a Co-Repressor to Regulate Keratin 14 Expression during Epidermal Cell Differentiation. PLoS ONE. 7(7). e41742–e41742. 24 indexed citations
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Wu, Chun‐Hung, Pao‐Luh Tao, & Eagle Yi‐Kung Huang. (2010). Distribution of neuropeptide FF (NPFF) receptors in correlation with morphine-induced reward in the rat brain. Peptides. 31(7). 1374–1382. 25 indexed citations
10.
Yeh, Geng‐Chang, et al.. (2010). Prenatal exposure to methamphetamine alters the mechanical withdrawal threshold and tonic hyperalgesia in the offspring. NeuroToxicology. 31(5). 432–438. 14 indexed citations
11.
Chen, Shiou‐Lan, Hsin-I Ma, Ru‐Band Lu, et al.. (2010). Antinociceptive effects of morphine and naloxone in mu-opioid receptor knockout mice transfected with the MORS196A gene. Journal of Biomedical Science. 17(1). 28–28. 11 indexed citations
12.
Tao, Pao‐Luh, et al.. (2009). Attenuation by dextromethorphan on the higher liability to morphine-induced reward, caused by prenatal exposure of morphine in rat offspring. Journal of Biomedical Science. 16(1). 106–106. 32 indexed citations
13.
Chen, Shiou‐Lan, et al.. (2007). dsAAV type 2-mediated gene transfer of MORS196A-EGFP into spinal cord as a pain management paradigm. Proceedings of the National Academy of Sciences. 104(50). 20096–20101. 20 indexed citations
14.
Yang, San Nan, Mei‐Yung Chung, Hsin‐Chun Huang, et al.. (2006). Alterations of postsynaptic density proteins in the hippocampus of rat offspring from the morphine‐addicted mother: Beneficial effect of dextromethorphan. Hippocampus. 16(6). 521–530. 38 indexed citations
15.
Tai, Yueh-Hua, et al.. (2006). Amitriptyline suppresses neuroinflammation and up-regulates glutamate transporters in morphine-tolerant rats. Pain. 124(1). 77–86. 129 indexed citations
16.
Wu, Ching‐Tang, Chun‐Chang Yeh, J.-C. Yu, et al.. (2000). Pre‐incisional epidural ketamine, morphine and bupivacaine combined with epidural and general anaesthesia provides pre‐emptive analgesia for upper abdominal surgery. Acta Anaesthesiologica Scandinavica. 44(1). 63–68. 63 indexed citations
17.
Tao, Pao‐Luh, et al.. (2000). Study the mechanisms of U-50,488 to prevent the development of morphine tolerance in guinea pigs.. PubMed. 43(4). 179–84. 2 indexed citations
18.
Wong, Chih‐Shung, et al.. (1999). Preincisional dextromethorphan decreases postoperative pain and opioid requirement after modified radical mastectomy. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 46(12). 1122–1126. 26 indexed citations
19.
Tao, Pao‐Luh, et al.. (1996). Chronic intrathecal morphine treatment does not cause down-regulation of spinal adenosine A1 receptors in rats. Naunyn-Schmiedeberg s Archives of Pharmacology. 354(2). 187–91. 3 indexed citations
20.
Hung, Hui‐Chih, Pao‐Luh Tao, & Eminy H.Y. Lee. (1995). 1-Methyl-4-phenyl-pyridinium (MPP+) uptake does not explain the differential toxicity of MPP+ in the nigrostriatal and mesolimbic dopaminergic pathways. Neuroscience Letters. 196(1-2). 93–96. 8 indexed citations

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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