Zhenyu Yao

7.8k total citations · 4 hit papers
85 papers, 6.1k citations indexed

About

Zhenyu Yao is a scholar working on Surgery, Orthopedics and Sports Medicine and Genetics. According to data from OpenAlex, Zhenyu Yao has authored 85 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Surgery, 26 papers in Orthopedics and Sports Medicine and 25 papers in Genetics. Recurrent topics in Zhenyu Yao's work include Orthopaedic implants and arthroplasty (38 papers), Orthopedic Infections and Treatments (31 papers) and Mesenchymal stem cell research (25 papers). Zhenyu Yao is often cited by papers focused on Orthopaedic implants and arthroplasty (38 papers), Orthopedic Infections and Treatments (31 papers) and Mesenchymal stem cell research (25 papers). Zhenyu Yao collaborates with scholars based in United States, Japan and France. Zhenyu Yao's co-authors include Stuart B. Goodman, Jukka Pajarinen, Tzu‐Hua Lin, Florence Loi, Luis A. Córdova, Emmanuel Gibon, Fan Yang, Tzuhua Lin, Michael Keeney and Laura Lu and has published in prestigious journals such as Journal of Biological Chemistry, ACS Nano and The Journal of Immunology.

In The Last Decade

Zhenyu Yao

85 papers receiving 6.0k citations

Hit Papers

align trajectories

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.

Inflammation, fracture and bone repair

2016 951 citations Florence Loi, Luis A. Córdova et al. profile →
Mesenchymal stem cell-macrophage crosstalk and bone healing

2018 730 citations Jukka Pajarinen, Tzuhua Lin et al. Biomaterials profile →
The future of biologic coatings for orthopaedic implants

2013 626 citations Stuart B. Goodman, Zhenyu Yao et al. Biomaterials profile →
Modulation of the Inflammatory Response and Bone Healing

2020 347 citations Masahiro Maruyama, Claire Rhee et al. Frontiers in Endocrinology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhenyu Yao United States	38	2.1k	2.1k	1.8k	1.0k	868	85	6.1k
Jukka Pajarinen United States	33	1.6k 0.8×	2.2k 1.1×	1.7k 1.0×	802 0.8×	708 0.8×	64	5.7k
Katharina Schmidt‐Bleek Germany	40	1.7k 0.8×	2.4k 1.1×	1.6k 0.9×	828 0.8×	577 0.7×	96	5.8k
Kang Ting United States	51	1.7k 0.8×	2.0k 1.0×	3.0k 1.7×	1.1k 1.1×	555 0.6×	160	8.1k
Chia Soo United States	53	1.9k 0.9×	2.0k 1.0×	2.9k 1.7×	1.4k 1.4×	573 0.7×	151	8.3k
Shizuko Ichinose Japan	48	1.6k 0.8×	1.7k 0.8×	2.2k 1.2×	1.0k 1.0×	464 0.5×	182	8.7k
Reinhard Gruber Austria	46	1.4k 0.7×	1.6k 0.8×	1.5k 0.8×	670 0.7×	587 0.7×	340	7.7k
Chider Chen United States	48	1.3k 0.6×	1.1k 0.5×	2.7k 1.6×	2.6k 2.5×	459 0.5×	117	8.3k
Hanna Schell Germany	32	1.9k 0.9×	1.3k 0.6×	974 0.6×	471 0.5×	664 0.8×	55	4.1k
Shuyun Liu China	47	1.8k 0.9×	1.6k 0.7×	2.3k 1.3×	990 1.0×	370 0.4×	209	6.9k
Richard J. Miron Switzerland	55	1.7k 0.8×	3.3k 1.6×	1.6k 0.9×	560 0.6×	446 0.5×	255	10.7k

Countries citing papers authored by Zhenyu Yao

Since Specialization

Citations

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

Fields of papers citing papers by Zhenyu Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Yao

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

All Works

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20 of 20 papers shown

Liu, Qiaoran, et al.. (2024). The serum uric acid-to-high-density lipoprotein cholesterol ratio is a predictor for all-cause and cardiovascular disease mortality: a cross-sectional study. Frontiers in Endocrinology. 15. 1417485–1417485. 19 indexed citations

Xu, Yunyun, Xu Hou, Honglin Guo, et al.. (2023). CD16+ monocytes are involved in the hyper-inflammatory state of Prader-Willi Syndrome by single-cell transcriptomic analysis. Frontiers in Immunology. 14. 1153730–1153730. 1 indexed citations

Zhang, Ning, Edward A. Ganio, Huaishuang Shen, et al.. (2022). Differential dynamics of bone graft transplantation and mesenchymal stem cell therapy during bone defect healing in a murine critical size defect. Journal of Orthopaedic Translation. 36. 64–74. 14 indexed citations

Gao, Qi, Zhong Li, Claire Rhee, et al.. (2021). Macrophages Modulate the Function of MSC- and iPSC-Derived Fibroblasts in the Presence of Polyethylene Particles. International Journal of Molecular Sciences. 22(23). 12837–12837. 5 indexed citations

Tsubosaka, Masanori, Masahiro Maruyama, Ning Zhang, et al.. (2021). Effect on Osteogenic Differentiation of Genetically Modified IL4 or PDGF-BB Over-Expressing and IL4-PDGF-BB Co-Over-Expressing Bone Marrow-Derived Mesenchymal Stromal Cells In Vitro. Bioengineering. 8(11). 165–165. 5 indexed citations

Maruyama, Masahiro, Seyedsina Moeinzadeh, Hunter W. Storaci, et al.. (2021). Effect of porosity of a functionally-graded scaffold for the treatment of corticosteroid-associated osteonecrosis of the femoral head in rabbits. Journal of Orthopaedic Translation. 28. 90–99. 22 indexed citations

Gao, Qi, Claire Rhee, Masahiro Maruyama, et al.. (2021). The Effects of Macrophage Phenotype on Osteogenic Differentiation of MSCs in the Presence of Polyethylene Particles. Biomedicines. 9(5). 499–499. 13 indexed citations

Maruyama, Masahiro, Tzu‐Hua Lin, Hunter W. Storaci, et al.. (2020). The efficacy of core decompression for steroid‐associated osteonecrosis of the femoral head in rabbits. Journal of Orthopaedic Research®. 39(7). 1441–1451. 12 indexed citations

Romero-López, Mónica, Zhong Li, Claire Rhee, et al.. (2020). Macrophage Effects on Mesenchymal Stem Cell Osteogenesis in a Three-Dimensional In Vitro Bone Model. Tissue Engineering Part A. 26(19-20). 1099–1111. 37 indexed citations

10.

Lo, Chi‐Wen, Tzuhua Lin, Masaya Ueno, et al.. (2019). Optimization and Characterization of Calcium Phosphate Transfection in Mesenchymal Stem Cells. Tissue Engineering Part C Methods. 25(9). 543–552. 5 indexed citations

11.

Pajarinen, Jukka, Tzuhua Lin, Emmanuel Gibon, et al.. (2018). Mesenchymal stem cell-macrophage crosstalk and bone healing. Biomaterials. 196. 80–89. 730 indexed citations breakdown →

12.

Lu, Laura, Florence Loi, Karthik Nathan, et al.. (2017). Pro‐inflammatory M1 macrophages promote Osteogenesis by mesenchymal stem cells via the COX‐2‐prostaglandin E2 pathway. Journal of Orthopaedic Research®. 35(11). 2378–2385. 184 indexed citations

13.

Pajarinen, Jukka, Akira Nabeshima, Tzu‐Hua Lin, et al.. (2017). ^{Murine Model of Progressive Orthopedic Wear Particle-Induced Chronic Inflammation and Osteolysis}. Tissue Engineering Part C Methods. 23(12). 1003–1011. 17 indexed citations

14.

Jiang, Xinyi, Taishi Sato, Zhenyu Yao, et al.. (2015). Local delivery of mutant CCL2 protein‐reduced orthopaedic implant wear particle‐induced osteolysis and inflammation in vivo. Journal of Orthopaedic Research®. 34(1). 58–64. 30 indexed citations

15.

Yao, Zhenyu, Qian Zhang, Xia Li, et al.. (2014). Death Domain-associated Protein 6 (Daxx) Selectively Represses IL-6 Transcription through Histone Deacetylase 1 (HDAC1)-mediated Histone Deacetylation in Macrophages. Journal of Biological Chemistry. 289(13). 9372–9379. 27 indexed citations

16.

Zwingenberger, Stefan, Zhenyu Yao, Angela Jacobi, et al.. (2013). Enhancement of BMP-2 Induced Bone Regeneration by SDF-1α Mediated Stem Cell Recruitment. Tissue Engineering Part A. 20(3-4). 3922858313–3922858313. 42 indexed citations

17.

Zwingenberger, Stefan, Zhenyu Yao, Angela Jacobi, et al.. (2012). Stem cell attraction via SDF‐1α expressing fat tissue grafts. Journal of Biomedical Materials Research Part A. 101A(7). 2067–2074. 6 indexed citations

18.

Gibon, Emmanuel, Muhammad Umar Jawad, Allison J. Rao, et al.. (2011). MC3T3-E1 Osteoprogenitor Cells Systemically Migrate to a Bone Defect and Enhance Bone Healing. Tissue Engineering Part A. 18(9-10). 968–973. 33 indexed citations

19.

Nádor, Roland G., et al.. (2009). The Changed Balance of Regulatory and Naive T Cells Promotes Tolerance after TLI and Anti-T-Cell Antibody Conditioning. American Journal of Transplantation. 10(2). 262–272. 27 indexed citations

20.

Yuan, Xiaoling, Jie Wu, Yajun Shan, et al.. (2005). SARS coronavirus 7a protein blocks cell cycle progression at G0/G1 phase via the cyclin D3/pRb pathway. Virology. 346(1). 74–85. 86 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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