Fang Xiao

1.5k total citations
31 papers, 1.2k citations indexed

About

Fang Xiao is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Fang Xiao has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Surgery and 7 papers in Oncology. Recurrent topics in Fang Xiao's work include Ion Transport and Channel Regulation (9 papers), Helicobacter pylori-related gastroenterology studies (5 papers) and Muscle Physiology and Disorders (4 papers). Fang Xiao is often cited by papers focused on Ion Transport and Channel Regulation (9 papers), Helicobacter pylori-related gastroenterology studies (5 papers) and Muscle Physiology and Disorders (4 papers). Fang Xiao collaborates with scholars based in China, Germany and United Kingdom. Fang Xiao's co-authors include Zhenguo Wu, Haixia Wang, Kepeng Wang, Ursula Seidler, Brigitte Riederer, Anurag Kumar Singh, Nancy Y. Ip, Robert I. Lechler, Giovanna Lombardi and Mingmin Chen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Cell Biology.

In The Last Decade

Fang Xiao

30 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Xiao China 19 677 214 181 174 174 31 1.2k
Xiangjian Zheng China 23 782 1.2× 259 1.2× 156 0.9× 96 0.6× 142 0.8× 52 1.8k
Li Pang China 20 736 1.1× 346 1.6× 132 0.7× 343 2.0× 246 1.4× 63 1.6k
Ye Zhao China 17 575 0.8× 300 1.4× 128 0.7× 141 0.8× 147 0.8× 33 1.3k
Chunmei Piao China 20 483 0.7× 407 1.9× 147 0.8× 235 1.4× 156 0.9× 41 1.3k
Hui Lin China 21 628 0.9× 124 0.6× 128 0.7× 192 1.1× 268 1.5× 51 1.2k
Kathrin Weyer Denmark 21 520 0.8× 110 0.5× 221 1.2× 107 0.6× 121 0.7× 47 1.5k
Ji Zhu China 21 611 0.9× 122 0.6× 131 0.7× 313 1.8× 172 1.0× 30 1.2k
Huanbai Xu China 17 558 0.8× 184 0.9× 113 0.6× 175 1.0× 240 1.4× 33 1.0k
Tetsuto Kanzaki Japan 21 1.0k 1.5× 214 1.0× 214 1.2× 175 1.0× 261 1.5× 51 1.8k
Qinghong Zhang China 25 844 1.2× 230 1.1× 277 1.5× 257 1.5× 252 1.4× 71 1.7k

Countries citing papers authored by Fang Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Fang Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang Xiao. 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 Fang Xiao. The network helps show where Fang Xiao may publish in the future.

Co-authorship network of co-authors of Fang Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Xiao. A scholar is included among the top collaborators of Fang Xiao 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 Fang Xiao. Fang Xiao 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
1.
Zou, Yifang, Fang Xiao, Song Liu, et al.. (2021). A folate-targeted PEGylated cyclodextrin-based nanoformulation achieves co-delivery of docetaxel and siRNA for colorectal cancer. International Journal of Pharmaceutics. 606. 120888–120888. 51 indexed citations
2.
Roberts, Luke B., Joanna Willis, Padmini Sarathchandra, et al.. (2020). Dominant regulation of long-term allograft survival is mediated by microRNA-142. American Journal of Transplantation. 20(10). 2715–2727. 9 indexed citations
3.
Zhao, Huanying, Fang Xiao, & Bing Xue. (2020). Four methods to analyze H3K27M mutation in diffuse midline gliomas. Pathology - Research and Practice. 216(9). 153065–153065. 7 indexed citations
4.
Zhu, Han, Fang Xiao, Gang Wang, et al.. (2016). STAT3 Regulates Self-Renewal of Adult Muscle Satellite Cells during Injury-Induced Muscle Regeneration. Cell Reports. 16(8). 2102–2115. 51 indexed citations
5.
6.
Safinia, Niloufar, Pablo D. Becker, Trishan Vaikunthanathan, et al.. (2015). Humanized Mice as Preclinical Models in Transplantation. Methods in molecular biology. 1371. 177–196. 3 indexed citations
7.
8.
Seidler, Ursula, Anurag Kumar Singh, Weiliang Xia, et al.. (2013). The electroneutral Na + HCO 3 − cotransporter NBCn1 plays an essential role in duodenal acid/base balance and colonic mucus layer build‐up in anaestetised mice. The FASEB Journal. 27(S1). 1 indexed citations
9.
Singh, Anurag Kumar, Weiliang Xia, Brigitte Riederer, et al.. (2013). Essential role of the electroneutral Na+–HCO3− cotransporter NBCn1 in murine duodenal acid–base balance and colonic mucus layer build‐up in vivo. The Journal of Physiology. 591(8). 2189–2204. 25 indexed citations
10.
Zhu, Fei, Jingli Liu, Jinping Li, et al.. (2013). MicroRNA-124 (miR-124) Regulates Ku70 Expression and is Correlated with Neuronal Death Induced by Ischemia/Reperfusion. Journal of Molecular Neuroscience. 52(1). 148–155. 90 indexed citations
11.
Xiao, Fang, Salah Amasheh, Kristin Wahl, et al.. (2013). Increased Epithelial Permeability Is the Primary Cause for Bicarbonate Loss in Inflamed Murine Colon. Inflammatory Bowel Diseases. 19(5). 904–911. 25 indexed citations
12.
Anagnostopoulou, Pinelopi, Brigitte Riederer, Julia Duerr, et al.. (2012). SLC26A9-mediated chloride secretion prevents mucus obstruction in airway inflammation. Journal of Clinical Investigation. 122(10). 3629–3634. 76 indexed citations
13.
Scottà, Cristiano, Mauro Esposito, Henrieta Fazekasova, et al.. (2012). Differential effects of rapamycin and retinoic acid on expansion, stability and suppressive qualities of human CD4+CD25+FOXP3+ T regulatory cell subpopulations. Haematologica. 98(8). 1291–1299. 120 indexed citations
14.
Xiao, Fang, Haixia Wang, Xinrong Fu, Yanfeng Li, & Zhenguo Wu. (2012). TRAF6 Promotes Myogenic Differentiation via the TAK1/p38 Mitogen-Activated Protein Kinase and Akt Pathways. PLoS ONE. 7(4). e34081–e34081. 25 indexed citations
15.
Chen, Mingmin, Jeppe Prætorius, Wen Zheng, et al.. (2012). The electroneutral Na+:HCO3− cotransporter NBCn1 is a major pHi regulator in murine duodenum. The Journal of Physiology. 590(14). 3317–3333. 29 indexed citations
16.
17.
Singh, Anurag Kumar, Brigitte Riederer, Mingmin Chen, et al.. (2010). The switch of intestinal Slc26 exchangers from anion absorptive to HCO3− secretory mode is dependent on CFTR anion channel function. American Journal of Physiology-Cell Physiology. 298(5). C1057–C1065. 64 indexed citations
18.
Xiao, Fang, J.R. Puddefoot, Stewart Barker, & Gavin P. Vinson. (2008). Changes in angiotensin II type 1 receptor signalling pathways evoked by a monoclonal antibody raised to the N-terminus. Journal of Endocrinology. 197(1). 25–33. 2 indexed citations
19.
Wang, Kepeng, et al.. (2008). JAK2/STAT2/STAT3 Are Required for Myogenic Differentiation. Journal of Biological Chemistry. 283(49). 34029–34036. 117 indexed citations
20.
Sun, Luguo, Kewei Ma, Haixia Wang, et al.. (2007). JAK1–STAT1–STAT3, a key pathway promoting proliferation and preventing premature differentiation of myoblasts. The Journal of Cell Biology. 179(1). 129–138. 160 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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