X C Tang

659 total citations
10 papers, 555 citations indexed

About

X C Tang is a scholar working on Pharmacology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, X C Tang has authored 10 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 5 papers in Molecular Biology and 3 papers in Organic Chemistry. Recurrent topics in X C Tang's work include Cholinesterase and Neurodegenerative Diseases (8 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Computational Drug Discovery Methods (3 papers). X C Tang is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (8 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Computational Drug Discovery Methods (3 papers). X C Tang collaborates with scholars based in China, United States and Belgium. X C Tang's co-authors include Dachang Bai, Xuchang He, Mario Giacobini, Patrizia De Sarno, Kimio Sugaya, H. Wang, Xu He, M. Pomponi, Elizabeth A. Williams and Israel Hanin and has published in prestigious journals such as Journal of Ethnopharmacology, Neuropharmacology and Current Medicinal Chemistry.

In The Last Decade

X C Tang

9 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
X C Tang China	8	461	188	170	135	120	10	555
Xi Tang China	10	253 0.5×	133 0.7×	54 0.3×	92 0.7×	59 0.5×	20	522
Eduardo Luis Konrath Brazil	15	296 0.6×	161 0.9×	230 1.4×	144 1.1×	103 0.9×	30	697
Filip Zemek Czechia	10	474 1.0×	137 0.7×	229 1.3×	157 1.2×	246 2.0×	25	717
Gina M. Bores United States	10	316 0.7×	184 1.0×	246 1.4×	38 0.3×	92 0.8×	15	531
Xi-can Tang China	13	262 0.6×	172 0.9×	80 0.5×	75 0.6×	87 0.7×	34	517
Natalia P. Alza Argentina	10	201 0.4×	165 0.9×	95 0.6×	100 0.7×	54 0.5×	15	531
Rati Kailash Prasad Tripathi India	13	327 0.7×	302 1.6×	261 1.5×	64 0.5×	137 1.1×	29	711
Takatoshi Kawai Japan	17	231 0.5×	483 2.6×	332 2.0×	178 1.3×	122 1.0×	37	1.1k
Chantana Boonyarat Thailand	16	254 0.6×	261 1.4×	216 1.3×	186 1.4×	132 1.1×	72	846
Encarnación Muñoz‐Delgado Spain	15	333 0.7×	287 1.5×	62 0.4×	153 1.1×	181 1.5×	49	677

Countries citing papers authored by X C Tang

Since Specialization

Citations

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

Fields of papers citing papers by X C Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X C Tang. 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 X C Tang. The network helps show where X C Tang may publish in the future.

Co-authorship network of co-authors of X C Tang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Tang, X C, et al.. (2025). Enhancement of endometrial receptivity by Bushen Zhuyun Decoction via cryptotanshinone-mediated TRIM28 induction and HIF-1α suppression. Journal of Ethnopharmacology. 350. 119943–119943. 1 indexed citations

2.

Tang, X C, et al.. (2025). Wenjing Zhitong Decoction Alleviates Primary Dysmenorrhea Mediated by Pain Sensitization Via the ERα‐BDNF Signaling Pathway. Journal of Clinical Pharmacy and Therapeutics. 2025(1).

3.

Bai, Dachang, X C Tang, & Xuchang He. (2000). Huperzine A, A Potential Therapeutic Agent for Treatment of Alzheimer's Disease. Current Medicinal Chemistry. 7(3). 355–374. 184 indexed citations

4.

Gao, Yan, et al.. (2000). Huperzine A reverses scopolamine- and muscimol-induced memory deficits in chick.. PubMed. 21(12). 1169–73. 14 indexed citations

5.

Tang, X C, et al.. (1999). Improving effects of huperzine A on abnormal lipid peroxidation and superoxide dismutase in aged rats.. PubMed. 20(9). 824–8. 35 indexed citations

6.

Tang, X C, Xu He, & Dachang Bai. (1999). Huperzine A: A novel acetylcholinesterase inhibitor. Drugs of the Future. 24(6). 647–647. 53 indexed citations

7.

Wang, H. & X C Tang. (1998). Anticholinesterase effects of huperzine A, E2020, and tacrine in rats.. PubMed. 19(1). 27–30. 52 indexed citations

8.

Laganiere, Serge, et al.. (1991). Acute and chronic studies with the anticholinesterase huperzine a: Effect on central nervous system cholinergic parameters. Neuropharmacology. 30(7). 763–768. 37 indexed citations

9.

Sarno, Patrizia De, M. Pomponi, Mario Giacobini, X C Tang, & Elizabeth A. Williams. (1989). The effect of heptyl-physostigmine, a new cholinesterase inhibitor, on the central cholinergic system of the rat. Neurochemical Research. 14(10). 971–977. 63 indexed citations

10.

Tang, X C, Patrizia De Sarno, Kimio Sugaya, & Mario Giacobini. (1989). Effect of huperzine A, a new cholinesterase inhibitor, on the central cholinergic system of the rat. Journal of Neuroscience Research. 24(2). 276–285. 116 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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