Wenhui Xing

1.2k total citations · 1 hit paper
18 papers, 753 citations indexed

About

Wenhui Xing is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wenhui Xing has authored 18 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wenhui Xing's work include Biomedical Text Mining and Ontologies (3 papers), Mesenchymal stem cell research (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Wenhui Xing is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Mesenchymal stem cell research (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Wenhui Xing collaborates with scholars based in China, United States and Switzerland. Wenhui Xing's co-authors include Weiguo Zou, Yujiao Han, Zhong Zhang, Bo Gao, Jun Sun, Bo Jiang, Zhuojing Luo, Qing Bi, Zi Yin and Yang Yang and has published in prestigious journals such as Journal of Clinical Investigation, Bioinformatics and PLoS Biology.

In The Last Decade

Wenhui Xing

17 papers receiving 747 citations

Hit Papers

Paracrine and endocrine actions of bone—the functions of ... 2018 2026 2020 2023 2018 100 200 300 400
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. Paracrine and endocrine actions of bone—the functions of secretory proteins from osteoblasts, osteocytes, and osteoclasts
    2018 424 citations Yujiao Han, Wenhui Xing et al. Bone Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenhui Xing China 10 378 146 123 117 97 18 753
Jason W. Ashley United States 12 503 1.3× 118 0.8× 191 1.6× 107 0.9× 111 1.1× 21 963
Tomohiro Kayama Japan 9 301 0.8× 190 1.3× 81 0.7× 137 1.2× 49 0.5× 15 661
Barbara Peruzzi Italy 14 556 1.5× 92 0.6× 259 2.1× 120 1.0× 100 1.0× 35 859
Ann‐Kristin Picke Germany 12 273 0.7× 194 1.3× 133 1.1× 48 0.4× 49 0.5× 14 609
Megan C. Moorer United States 12 373 1.0× 109 0.7× 88 0.7× 58 0.5× 77 0.8× 13 586
Eriko Aoyama Japan 22 873 2.3× 71 0.5× 133 1.1× 224 1.9× 149 1.5× 48 1.2k
Nathan A. Wigner United States 13 316 0.8× 137 0.9× 153 1.2× 90 0.8× 26 0.3× 17 738
Sylvia Thiele Germany 16 341 0.9× 119 0.8× 182 1.5× 74 0.6× 63 0.6× 23 598
Janja Zupan Slovenia 15 393 1.0× 171 1.2× 123 1.0× 225 1.9× 79 0.8× 39 841
Juryun Kim South Korea 17 311 0.8× 47 0.3× 141 1.1× 174 1.5× 60 0.6× 25 727

Countries citing papers authored by Wenhui Xing

Since Specialization
Citations

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

Fields of papers citing papers by Wenhui Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenhui Xing

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

All Works

18 of 18 papers shown
1.
Xing, Wenhui, et al.. (2025). Tenascin-C promotes bone regeneration via inflammatory macrophages. Cell Death and Differentiation. 32(4). 763–775. 1 indexed citations
2.
Wang, Lijun, et al.. (2025). Piezo1 balances the osteogenic-tenogenic plasticity of periosteal progenitor cells through the YAP pathway. Cell Reports. 44(5). 115630–115630. 1 indexed citations
3.
Wang, Rong, Nan Zheng, Yu-Jing Liang, et al.. (2025). Multi-perspective analysis of daVinci surgical virtual reality training: a prospective randomized controlled study. Journal of Robotic Surgery. 19(1). 221–221.
4.
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6.
Xing, Wenhui, Bo Jiang, Bo Gao, et al.. (2024). Itm2a expression marks periosteal skeletal stem cells that contribute to bone fracture healing. Journal of Clinical Investigation. 134(17). 11 indexed citations
7.
Jiang, Bo, et al.. (2022). Skeletal stem cells: origins, definitions, and functions in bone development and disease. PubMed. 1(3). 276–293. 10 indexed citations
8.
Gao, Bo, et al.. (2022). Discovery and Application of Postnatal Nucleus Pulposus Progenitors Essential for Intervertebral Disc Homeostasis and Degeneration. Advanced Science. 9(13). e2104888–e2104888. 65 indexed citations
9.
Zhao, Teng, Chao Liu, Binhang Yuan, et al.. (2021). Portable Device Improves the Detection of Atrial Fibrillation After Ablation. International Heart Journal. 62(4). 786–791. 8 indexed citations
10.
Sun, Jun, Wenhui Xing, Yujiao Han, et al.. (2020). Histone demethylase LSD1 is critical for endochondral ossification during bone fracture healing. Science Advances. 6(45). 24 indexed citations
11.
Fu, Yuhua, Jingya Xu, Zhenshuang Tang, et al.. (2020). A gene prioritization method based on a swine multi-omics knowledgebase and a deep learning model. Communications Biology. 3(1). 502–502. 46 indexed citations
12.
Xing, Wenhui, Yujiao Han, Jun Sun, et al.. (2020). Tendon-derived cathepsin K–expressing progenitor cells activate Hedgehog signaling to drive heterotopic ossification. Journal of Clinical Investigation. 130(12). 6354–6365. 84 indexed citations
13.
Bai, Meizhu, Yujiao Han, Yuxuan Wu, et al.. (2019). Targeted genetic screening in mice through haploid embryonic stem cells identifies critical genes in bone development. PLoS Biology. 17(7). e3000350–e3000350. 25 indexed citations
14.
Han, Yujiao, et al.. (2018). Paracrine and endocrine actions of bone—the functions of secretory proteins from osteoblasts, osteocytes, and osteoclasts. Bone Research. 6(1). 16–16. 424 indexed citations breakdown →
15.
Xing, Wenhui, Xiaohui Yuan, Lin Li, Lun Hu, & Jing Peng. (2018). Phenotype Extraction Based on Word Embedding to Sentence Embedding Cascaded Approach. IEEE Transactions on NanoBioscience. 17(3). 172–180. 5 indexed citations
16.
Zhan, Jingjing, et al.. (2018). Fine mapping and candidate gene prediction of a major QTL for kernel number per ear in maize. Molecular Breeding. 38(3). 9 indexed citations
17.
Xing, Wenhui, Junsheng Qi, Xiaohui Yuan, et al.. (2018). A gene–phenotype relationship extraction pipeline from the biomedical literature using a representation learning approach. Bioinformatics. 34(13). i386–i394. 27 indexed citations
18.
Xing, Wenhui, Xiaohui Yuan, Lin Li, & Jing Peng. (2017). Cascade word embedding to sentence embedding: A class label enhanced approach to phenotype extraction. 707. 477–484. 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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