Chui‐Se Tham

1.3k total citations
16 papers, 1.1k citations indexed

About

Chui‐Se Tham is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Chui‐Se Tham has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Chui‐Se Tham's work include Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers) and Cannabis and Cannabinoid Research (4 papers). Chui‐Se Tham is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers) and Cannabis and Cannabinoid Research (4 papers). Chui‐Se Tham collaborates with scholars based in United States, Canada and Italy. Chui‐Se Tham's co-authors include Michael Webb, H.C. Fibiger, George S. Robertson, G. Damsma, Fen‐Fen Lin, Naichen Yu, Tadimeti S. Rao, Mark A. Klitenick, Lin Luo and Karen Lariosa‐Willingham and has published in prestigious journals such as FEBS Letters, Neuroscience and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Chui‐Se Tham

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chui‐Se Tham United States 16 607 562 213 165 124 16 1.1k
Yukio Nishizawa Japan 14 621 1.0× 510 0.9× 75 0.4× 82 0.5× 107 0.9× 23 1.0k
Alfred T. Malouf United States 19 473 0.8× 638 1.1× 67 0.3× 48 0.3× 169 1.4× 27 1.1k
Amy D. Sinor United States 8 276 0.5× 501 0.9× 484 2.3× 58 0.4× 74 0.6× 10 958
Jee-Yeon Hwang United States 17 905 1.5× 361 0.6× 74 0.3× 37 0.2× 208 1.7× 24 1.5k
Nicolas Bizat France 16 703 1.2× 735 1.3× 140 0.7× 39 0.2× 94 0.8× 20 1.2k
A.J. Lança Canada 11 605 1.0× 625 1.1× 70 0.3× 86 0.5× 21 0.2× 15 1.1k
Geeta G. Sharma United States 16 1.1k 1.9× 895 1.6× 109 0.5× 64 0.4× 163 1.3× 28 1.6k
Praveen Paul United Kingdom 11 345 0.6× 518 0.9× 734 3.4× 57 0.3× 67 0.5× 12 1.3k
Chiara Cervetto Italy 21 583 1.0× 432 0.8× 98 0.5× 16 0.1× 143 1.2× 54 1.1k
Tsing‐Bau Chen United States 17 718 1.2× 708 1.3× 44 0.2× 124 0.8× 52 0.4× 38 1.2k

Countries citing papers authored by Chui‐Se Tham

Since Specialization
Citations

This map shows the geographic impact of Chui‐Se Tham'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 Chui‐Se Tham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chui‐Se Tham more than expected).

Fields of papers citing papers by Chui‐Se Tham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chui‐Se Tham. 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 Chui‐Se Tham. The network helps show where Chui‐Se Tham may publish in the future.

Co-authorship network of co-authors of Chui‐Se Tham

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

All Works

16 of 16 papers shown
1.
Pedraza, Carlos E., Christopher M. Taylor, Albertina Pereira, et al.. (2014). Induction of Oligodendrocyte Differentiation and In Vitro Myelination by Inhibition of Rho-Associated Kinase. ASN NEURO. 6(4). 46 indexed citations
2.
Webb, Michael, Lin Luo, Ying Jing, & Chui‐Se Tham. (2008). Genetic deletion of Fatty Acid Amide Hydrolase results in improved long-term outcome in chronic autoimmune encephalitis. Neuroscience Letters. 439(1). 106–110. 37 indexed citations
3.
Karbarz, Mark J., Lin Luo, Leon Chang, et al.. (2008). Biochemical and Biological Properties of 4-(3-phenyl-[1,2,4] thiadiazol-5-yl)-piperazine-1-carboxylic acid phenylamide, a Mechanism-Based Inhibitor of Fatty Acid Amide Hydrolase. Anesthesia & Analgesia. 108(1). 316–329. 61 indexed citations
4.
Keith, John M., Richard L. Apodaca, Wei Xiao, et al.. (2008). Thiadiazolopiperazinyl ureas as inhibitors of fatty acid amide hydrolase. Bioorganic & Medicinal Chemistry Letters. 18(17). 4838–4843. 76 indexed citations
5.
Tham, Chui‐Se, John N. Whitaker, Lin Luo, & Michael Webb. (2007). Inhibition of microglial fatty acid amide hydrolase modulates LPS stimulated release of inflammatory mediators. FEBS Letters. 581(16). 2899–2904. 45 indexed citations
6.
Webb, Michael, Chui‐Se Tham, Fen‐Fen Lin, et al.. (2004). Sphingosine 1-phosphate receptor agonists attenuate relapsing–remitting experimental autoimmune encephalitis in SJL mice. Journal of Neuroimmunology. 153(1-2). 108–121. 194 indexed citations
7.
Rao, Tadimeti S., Karen Lariosa‐Willingham, Fen‐Fen Lin, et al.. (2004). Growth factor pre‐treatment differentially regulates phosphoinositide turnover downstream of lysophospholipid receptor and metabotropic glutamate receptors in cultured rat cerebrocortical astrocytes. International Journal of Developmental Neuroscience. 22(3). 131–135. 29 indexed citations
8.
Tham, Chui‐Se, Fen‐Fen Lin, Tadimeti S. Rao, Naichen Yu, & Michael Webb. (2003). Microglial activation state and lysophospholipid acid receptor expression. International Journal of Developmental Neuroscience. 21(8). 431–443. 99 indexed citations
9.
Bell, Stanley C., Michael De Vivo, Sandra Lechner, et al.. (2001). ALX 5407: A Potent, Selective Inhibitor of the hGlyT1 Glycine Transporter. Molecular Pharmacology. 60(6). 1414–1420. 140 indexed citations
10.
Klitenick, Mark A., Chui‐Se Tham, & Hans C. Fibiger. (1995). Cocaine and d‐amphetamine increase c‐fos expression in the rat cerebellum. Synapse. 19(1). 29–36. 24 indexed citations
11.
Klitenick, Mark A., et al.. (1995). Receptor mechanisms mediating clozapine-inducedc-fos expression in the forebrain. Neuroscience. 65(3). 747–756. 64 indexed citations
12.
Day, Jamie C., Chui‐Se Tham, & Hans C. Fibiger. (1994). Dopamine depletion attenuates amphetamine-induced increases of cortical acetylcholine release. European Journal of Pharmacology. 263(3). 285–292. 28 indexed citations
13.
Robertson, George S., Chui‐Se Tham, Christopher M. Wilson, Alexander Jakubovič, & H.C. Fibiger. (1993). In vivo comparisons of the effects of quinpirole and the putative presynaptic dopaminergic agonists B-HT 920 and SND 919 on striatal dopamine and acetylcholine release.. Journal of Pharmacology and Experimental Therapeutics. 264(3). 1344–1351. 30 indexed citations
14.
Robertson, George S., et al.. (1992). Lesions of the mesotelencephalic dopamine system enhance the effects of selective dopamine D1 and D2 receptor agonists on striatal acetylcholine release. European Journal of Pharmacology. 219(2). 323–325. 25 indexed citations
15.
Damsma, G., George S. Robertson, Chui‐Se Tham, & H.C. Fibiger. (1991). Dopaminergic regulation of striatal acetylcholine release: importance of D1 and N-methyl-D-aspartate receptors.. Journal of Pharmacology and Experimental Therapeutics. 259(3). 1064–1072. 113 indexed citations
16.
Damsma, G., Chui‐Se Tham, George S. Robertson, & H.C. Fibiger. (1990). Dopamine D1 receptor stimulation increases striatal acetylcholine release in the rat. European Journal of Pharmacology. 186(2-3). 335–338. 89 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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