Xiaomei Fu–Cheng

472 total citations
9 papers, 374 citations indexed

About

Xiaomei Fu–Cheng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Xiaomei Fu–Cheng has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Xiaomei Fu–Cheng's work include Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (5 papers) and Diet and metabolism studies (3 papers). Xiaomei Fu–Cheng is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (5 papers) and Diet and metabolism studies (3 papers). Xiaomei Fu–Cheng collaborates with scholars based in France and Morocco. Xiaomei Fu–Cheng's co-authors include J Chariot, Younès Anini, C Rozé, A. Kervran, Christine Cherbut, A. Le Quellec, Alain Ropert, Stanislas Bruley des Varannes, Galmiche Jp and Jens J. Holst and has published in prestigious journals such as Gastroenterology, Journal of Pharmacology and Experimental Therapeutics and Pflügers Archiv - European Journal of Physiology.

In The Last Decade

Xiaomei Fu–Cheng

9 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaomei Fu–Cheng France 7 121 114 112 112 109 9 374
V Dumoulin France 6 92 0.8× 124 1.1× 78 0.7× 82 0.7× 167 1.5× 7 359
Hisanori Takanashi Japan 15 98 0.8× 95 0.8× 137 1.2× 70 0.6× 38 0.3× 38 479
JH Meyer South Africa 10 83 0.7× 218 1.9× 117 1.0× 93 0.8× 102 0.9× 11 556
Uwe Wank Germany 5 118 1.0× 227 2.0× 143 1.3× 87 0.8× 354 3.2× 10 526
Yuanxu Lu United States 11 94 0.8× 95 0.8× 146 1.3× 72 0.6× 35 0.3× 16 440
Rob J. Lieverse Netherlands 12 341 2.8× 124 1.1× 231 2.1× 155 1.4× 97 0.9× 21 580
Henry P. Parkman United States 10 71 0.6× 126 1.1× 100 0.9× 64 0.6× 27 0.2× 13 359
Sayaka Aizawa Japan 10 200 1.7× 57 0.5× 105 0.9× 121 1.1× 58 0.5× 26 377
R.A. Liddle United States 5 73 0.6× 121 1.1× 50 0.4× 43 0.4× 68 0.6× 7 339
Michael Fried Switzerland 4 61 0.5× 112 1.0× 133 1.2× 53 0.5× 48 0.4× 6 331

Countries citing papers authored by Xiaomei Fu–Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomei Fu–Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaomei Fu–Cheng. 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 Xiaomei Fu–Cheng. The network helps show where Xiaomei Fu–Cheng may publish in the future.

Co-authorship network of co-authors of Xiaomei Fu–Cheng

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

All Works

9 of 9 papers shown
1.
Anini, Younès, et al.. (1999). Comparison of the postprandial release of peptide YY and proglucagon-derived peptides in the rat. Pflügers Archiv - European Journal of Physiology. 438(3). 299–306. 104 indexed citations
2.
Fu–Cheng, Xiaomei, Abdelaziz Souli, J Chariot, & C Rozé. (1999). Antisecretory effect of peptide YY through neural receptors in the rat jejunum in vitro☆. Peptides. 20(8). 987–993. 7 indexed citations
3.
Fu–Cheng, Xiaomei, Abdelaziz Souli, Younès Anini, J Chariot, & C Rozé. (1998). Inhibitory effects of peptide YY on basal and VIP-stimulated short-circuit current in the rat jejunum: influence of technical conditions on observed results. Peptides. 19(9). 1503–1509. 2 indexed citations
4.
Fu–Cheng, Xiaomei, et al.. (1997). Mechanisms of peptide YY release induced by an intraduodenal meal in rats: neural regulation by proximal gut. Pflügers Archiv - European Journal of Physiology. 433(5). 571–579. 61 indexed citations
5.
Ropert, Alain, Christine Cherbut, C Rozé, et al.. (1996). Colonic fermentation and proximal gastric tone in humans. Gastroenterology. 111(2). 289–296. 130 indexed citations
6.
Souli, Abdelaziz, Xiaomei Fu–Cheng, J Chariot, Annick Tsocas, & C Rozé. (1996). [Antisecretory effects of YY peptide and neuropeptide Y at three levels of the small intestine in rats].. PubMed. 20(1). 8–14. 10 indexed citations
7.
Fu–Cheng, Xiaomei, et al.. (1995). Peptide YY release after intraduodenal, intraileal, and intracolonic administration of nutrients in rats. Pflügers Archiv - European Journal of Physiology. 431(1). 66–75. 50 indexed citations
8.
Fu–Cheng, Xiaomei, et al.. (1994). [Cephalic phase of gastric secretion in dogs. Effect of palatability and caloric intake].. PubMed. 18(1). 6–12. 3 indexed citations
9.
Vatier, J, Zu‐Hua Gao, Xiaomei Fu–Cheng, et al.. (1992). Evidence for the interaction between antacid and gastric mucosa using an "artificial stomach" model including gastric mucosa.. Journal of Pharmacology and Experimental Therapeutics. 263(3). 1206–1211. 7 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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