E. Xiao

2.7k total citations · 1 hit paper
49 papers, 2.0k citations indexed

About

E. Xiao is a scholar working on Rheumatology, Molecular Biology and Complementary and Manual Therapy. According to data from OpenAlex, E. Xiao has authored 49 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Rheumatology, 14 papers in Molecular Biology and 12 papers in Complementary and Manual Therapy. Recurrent topics in E. Xiao's work include Temporomandibular Joint Disorders (12 papers), Mesenchymal stem cell research (9 papers) and Oral microbiology and periodontitis research (8 papers). E. Xiao is often cited by papers focused on Temporomandibular Joint Disorders (12 papers), Mesenchymal stem cell research (9 papers) and Oral microbiology and periodontitis research (8 papers). E. Xiao collaborates with scholars based in China, United States and Brazil. E. Xiao's co-authors include Dana T. Graves, Hongli Jiao, Yingying Wu, Yi Zhang, Jôice Dias Corrêa, Linhai He, Mayra Laino Albiero, Kyle Bittinger, Shanshan Chen and Marcelo Mattos and has published in prestigious journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

E. Xiao

48 papers receiving 2.0k citations

Hit Papers

Diabetes and Its Effect o... 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Diabetes and Its Effect on Bone and Fracture Healing
    2015 386 citations Hongli Jiao, E. Xiao et al. Current Osteoporosis Reports profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
E. Xiao 661 583 296 283 228 49 2.0k
Mikihito Kajiya 914 1.4× 644 1.1× 276 0.9× 206 0.7× 431 1.9× 106 2.6k
Pernilla Lundberg 745 1.1× 270 0.5× 185 0.6× 253 0.9× 176 0.8× 47 1.9k
Mari Ainola 564 0.9× 311 0.5× 194 0.7× 451 1.6× 509 2.2× 57 2.2k
Adriana Di Benedetto 756 1.1× 167 0.3× 505 1.7× 153 0.5× 171 0.8× 46 2.1k
Toshihide Noguchi 1.0k 1.5× 977 1.7× 339 1.1× 194 0.7× 146 0.6× 133 2.9k
Masaru Yamaguchi 1.1k 1.7× 530 0.9× 250 0.8× 329 1.2× 113 0.5× 90 2.8k
Hidefumi Maeda 1.4k 2.1× 243 0.4× 304 1.0× 340 1.2× 313 1.4× 113 3.1k
Barry R. Rifkin 804 1.2× 639 1.1× 183 0.6× 301 1.1× 121 0.5× 45 2.3k
Hideki Shiba 1.1k 1.6× 918 1.6× 185 0.6× 373 1.3× 273 1.2× 120 2.9k
Mani Alikhani 798 1.2× 233 0.4× 130 0.4× 102 0.4× 107 0.5× 32 1.9k

Countries citing papers authored by E. Xiao

Since Specialization
Citations

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

Fields of papers citing papers by E. Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of E. Xiao. A scholar is included among the top collaborators of E. 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 E. Xiao. E. 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.
Zheng, Kaikai, Teng Zhou, E. Xiao, Qiang Wei, & Changsheng Zhao. (2023). Human collagen decorating microneedle patches for transdermal therapy. Journal of Polymer Science. 62(14). 3171–3182. 5 indexed citations
2.
Dong, Xian, Linhai He, Yang He, et al.. (2021). Adipose-Derived Stem Cells Promote Bone Coupling in Bisphosphonate-Related Osteonecrosis of the Jaw by TGF-β1. Frontiers in Cell and Developmental Biology. 9. 639590–639590. 11 indexed citations
3.
4.
Graves, Dana T., Linhai He, Yan Shi, et al.. (2020). Depletion of the diabetic gut microbiota resistance enhances stem cells therapy in type 1 diabetes mellitus. Theranostics. 10(14). 6500–6516. 37 indexed citations
5.
Huang, Xiuling, Hui Zheng, Jingang An, et al.. (2020). Microbial Profile During Pericoronitis and Microbiota Shift After Treatment. Frontiers in Microbiology. 11. 1888–1888. 10 indexed citations
6.
Corrêa, Jôice Dias, Gabriel da Rocha Fernandes, Débora Cerqueira Calderaro, et al.. (2019). Oral microbial dysbiosis linked to worsened periodontal condition in rheumatoid arthritis patients. Scientific Reports. 9(1). 8379–8379. 101 indexed citations
7.
Zhao, Lu, E. Xiao, Linhai He, et al.. (2019). Reducing macrophage numbers alleviates temporomandibular joint ankylosis. Cell and Tissue Research. 379(3). 521–536. 6 indexed citations
8.
9.
An, Jingang, Yang He, E. Xiao, et al.. (2019). Association between the clinical features of and types of temporomandibular joint ankylosis based on a modified classification system. Scientific Reports. 9(1). 10493–10493. 17 indexed citations
10.
Xiao, E., et al.. (2019). High-Throughput Sequencing Analysis of Microbial Profiles in the Dry Socket. Journal of Oral and Maxillofacial Surgery. 77(8). 1548–1556. 13 indexed citations
11.
Zhang, Chen, et al.. (2018). Basic and Clinical Evidence of an Alternative Method to Produce Vivo Nanofat. Chinese Medical Journal. 131(5). 588–593. 20 indexed citations
12.
Chen, Shuo, Linhai He, Lu Zhao, et al.. (2018). Effects of articular disc or condylar cartilage resection on mandibular growth in young rats. Archives of Oral Biology. 97. 67–71. 3 indexed citations
13.
Xiao, E., Marcelo Mattos, Gustavo Henrique Apolinário Vieira, et al.. (2017). Diabetes Enhances IL-17 Expression and Alters the Oral Microbiome to Increase Its Pathogenicity. Cell Host & Microbe. 22(1). 120–128.e4. 290 indexed citations
14.
He, Linhai, Meng Liu, Yang He, et al.. (2017). TRPV1 deletion impaired fracture healing and inhibited osteoclast and osteoblast differentiation. Scientific Reports. 7(1). 42385–42385. 69 indexed citations
15.
Xiao, E., Linhai He, Qiong Wu, et al.. (2017). Microbiota regulates bone marrow mesenchymal stem cell lineage differentiation and immunomodulation. Stem Cell Research & Therapy. 8(1). 213–213. 28 indexed citations
16.
Jiao, Hongli, E. Xiao, & Dana T. Graves. (2015). Diabetes and Its Effect on Bone and Fracture Healing. Current Osteoporosis Reports. 13(5). 327–335. 386 indexed citations breakdown →
17.
Wu, Yingying, E. Xiao, & Dana T. Graves. (2015). Diabetes mellitus related bone metabolism and periodontal disease. International Journal of Oral Science. 7(2). 63–72. 221 indexed citations
18.
Yan, Ying‐Bin, et al.. (2013). A pilot trial on the molecular pathophysiology of traumatic temporomandibular joint bony ankylosis in a sheep model. Part I: Expression of Wnt signaling. Journal of Cranio-Maxillofacial Surgery. 42(2). e15–e22. 21 indexed citations
19.
20.
Iyer, Shilpa, et al.. (2011). Mitochondrial gene replacement in human pluripotent stem cell-derived neural progenitors. Gene Therapy. 19(5). 469–475. 20 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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