Fengxia Xiao

929 total citations
21 papers, 601 citations indexed

About

Fengxia Xiao is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Nephrology. According to data from OpenAlex, Fengxia Xiao has authored 21 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 6 papers in Nephrology. Recurrent topics in Fengxia Xiao's work include Renin-Angiotensin System Studies (7 papers), Extracellular vesicles in disease (5 papers) and Renal Diseases and Glomerulopathies (5 papers). Fengxia Xiao is often cited by papers focused on Renin-Angiotensin System Studies (7 papers), Extracellular vesicles in disease (5 papers) and Renal Diseases and Glomerulopathies (5 papers). Fengxia Xiao collaborates with scholars based in Canada, United States and China. Fengxia Xiao's co-authors include Kevin D. Burns, Dylan Burger, C. Kennedy, Joseph Zimpelmann, Mercedes N. Munkonda, Shareef Akbari, Alex Gutsol, Richard Hébert, Heather N. Reich and James W. Scholey and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Kidney International.

In The Last Decade

Fengxia Xiao

21 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengxia Xiao Canada 13 281 203 124 122 89 21 601
Vajir Malek India 18 277 1.0× 230 1.1× 101 0.8× 147 1.2× 141 1.6× 28 764
Michitsune Arita Japan 10 181 0.6× 164 0.8× 62 0.5× 119 1.0× 80 0.9× 17 564
In Jin Kim South Korea 15 199 0.7× 104 0.5× 170 1.4× 82 0.7× 21 0.2× 31 648
Yoshinori Tsuchiyama Japan 8 235 0.8× 121 0.6× 50 0.4× 103 0.8× 58 0.7× 12 576
Sayaka Arakawa Japan 11 183 0.7× 139 0.7× 148 1.2× 77 0.6× 26 0.3× 36 731
Hermann Joseph Gröne Germany 8 323 1.1× 84 0.4× 257 2.1× 100 0.8× 15 0.2× 8 863
Chintan Gandhi United States 11 105 0.4× 81 0.4× 50 0.4× 34 0.3× 77 0.9× 18 615
Vanessa Marchant Spain 12 244 0.9× 41 0.2× 176 1.4× 65 0.5× 82 0.9× 25 658
Sanja Ćurčić Austria 13 149 0.5× 90 0.4× 59 0.5× 202 1.7× 13 0.1× 16 666
Lanfeng Wang China 15 385 1.4× 112 0.6× 63 0.5× 63 0.5× 38 0.4× 25 778

Countries citing papers authored by Fengxia Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Fengxia Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengxia Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Fengxia Xiao. A scholar is included among the top collaborators of Fengxia 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 Fengxia Xiao. Fengxia 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.
Wang, Xuehua, et al.. (2025). Rhoifolin improves bleomycin-induced fibrosis in vivo and cell damage in vitro both related to NRF2/HO-1 pathway. BMC Pulmonary Medicine. 25(1). 117–117. 1 indexed citations
2.
Xiao, Fengxia, et al.. (2023). Urinary podocyte-derived large extracellular vesicles are increased in paediatric idiopathic nephrotic syndrome. Nephrology Dialysis Transplantation. 38(9). 2089–2091. 4 indexed citations
3.
Sullivan, Katie, Rahim Moineddin, Farid H. Mahmud, et al.. (2022). Urinary interleukin-9 in youth with type 1 diabetes mellitus. Acta Diabetologica. 59(7). 939–947. 7 indexed citations
4.
Han, Ling, et al.. (2022). Rhoifolin Alleviates Alcoholic Liver Disease In Vivo and In Vitro via Inhibition of the TLR4/NF-κB Signaling Pathway. Frontiers in Pharmacology. 13. 878898–878898. 27 indexed citations
5.
Jung, Richard G., Anne‐Claire Duchez, Trevor Simard, et al.. (2022). Plasminogen Activator Inhibitor-1–Positive Platelet-Derived Extracellular Vesicles Predicts MACE and the Proinflammatory SMC Phenotype. JACC Basic to Translational Science. 7(10). 985–997. 2 indexed citations
6.
Kereliuk, Stephanie M., Fengxia Xiao, Dylan Burger, & Vernon W. Dolinsky. (2022). Extracellular Vesicles as an Index for Endothelial Injury and Cardiac Dysfunction in a Rodent Model of GDM. International Journal of Molecular Sciences. 23(9). 4970–4970. 4 indexed citations
7.
8.
Nasrallah, Rania, Joseph Zimpelmann, Susan J. Robertson, et al.. (2019). Prostaglandin E2 receptor EP1 (PGE2/EP1) deletion promotes glomerular podocyte and endothelial cell injury in hypertensive TTRhRen mice. Laboratory Investigation. 100(3). 414–425. 9 indexed citations
9.
Ruzicka, Marcel, Fengxia Xiao, Vera A. Tang, et al.. (2019). Effect of hemodialysis on extracellular vesicles and circulating submicron particles. BMC Nephrology. 20(1). 294–294. 22 indexed citations
10.
Gagnon, AnneMarie, et al.. (2018). Thyroid-Stimulating Hormone-Stimulated Human Adipocytes Express Thymic Stromal Lymphopoietin. Hormone and Metabolic Research. 50(4). 325–330. 2 indexed citations
11.
Munkonda, Mercedes N., Shareef Akbari, Fengxia Xiao, et al.. (2018). Podocyte‐derived microparticles promote proximal tubule fibrotic signaling via p38 MAPK and CD36. Journal of Extracellular Vesicles. 7(1). 1432206–1432206. 77 indexed citations
12.
Xiao, Fengxia & Kevin D. Burns. (2017). Measurement of Angiotensin Converting Enzyme 2 Activity in Biological Fluid (ACE2). Methods in molecular biology. 1527. 101–115. 34 indexed citations
13.
Burger, Dylan, et al.. (2017). High glucose increases the formation and pro-oxidative activity of endothelial microparticles. Diabetologia. 60(9). 1791–1800. 81 indexed citations
14.
Xiao, Fengxia, Joseph Zimpelmann, Dylan Burger, et al.. (2016). Protein Kinase C-δ Mediates Shedding of Angiotensin-Converting Enzyme 2 from Proximal Tubular Cells. Frontiers in Pharmacology. 7. 146–146. 13 indexed citations
15.
Lytvyn, Yuliya, Fengxia Xiao, C. Kennedy, et al.. (2016). Assessment of urinary microparticles in normotensive patients with type 1 diabetes. Diabetologia. 60(3). 581–584. 60 indexed citations
16.
Xiao, Fengxia, et al.. (2014). Characterization of Angiotensin-Converting Enzyme 2 Ectodomain Shedding from Mouse Proximal Tubular Cells. PLoS ONE. 9(1). e85958–e85958. 53 indexed citations
17.
Cherney, David Z.I., Fengxia Xiao, Joseph Zimpelmann, et al.. (2014). Urinary ACE2 in healthy adults and patients with uncomplicated type 1 diabetes. Canadian Journal of Physiology and Pharmacology. 92(8). 703–706. 18 indexed citations
18.
Xiao, Fengxia, Swapnil Hiremath, Greg Knoll, et al.. (2012). Increased Urinary Angiotensin-Converting Enzyme 2 in Renal Transplant Patients with Diabetes. PLoS ONE. 7(5). e37649–e37649. 41 indexed citations
19.
Milagres, Rosângela, Marc Dilauro, Alex Gutsol, et al.. (2012). Podocyte-specific overexpression of human angiotensin-converting enzyme 2 attenuates diabetic nephropathy in mice. Kidney International. 82(3). 292–303. 90 indexed citations
20.
Xiao, Fengxia, et al.. (1991). Distribution and excretion of 3H-sterigmatocystin in rats.. PubMed. 424–6. 2 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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