Lianping Xing

17.8k total citations · 6 hit papers
177 papers, 14.2k citations indexed

About

Lianping Xing is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Lianping Xing has authored 177 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 104 papers in Oncology and 35 papers in Rheumatology. Recurrent topics in Lianping Xing's work include Bone Metabolism and Diseases (73 papers), Bone health and treatments (52 papers) and Lymphatic System and Diseases (35 papers). Lianping Xing is often cited by papers focused on Bone Metabolism and Diseases (73 papers), Bone health and treatments (52 papers) and Lymphatic System and Diseases (35 papers). Lianping Xing collaborates with scholars based in United States, China and Japan. Lianping Xing's co-authors include Brendan F. Boyce, Edward M. Schwarz, Zhenqiang Yao, Di Chen, Lan Zhao, Regis J. O’Keefe, Jian Huang, Ulrich Siebenlist, Christopher T. Ritchlin and Ruolin Guo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Lianping Xing

175 papers receiving 13.9k citations

Hit Papers

Functions of RANKL/RANK/OPG in bone modeling and remo... 1997 2026 2006 2016 2008 1997 2007 2002 2009 400 800 1.2k
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. Functions of RANKL/RANK/OPG in bone modeling and remodeling
    2008 1.4k citations Brendan F. Boyce, Lianping Xing profile →
  2. Requirement for NF-κB in osteoclast and B-cell development
    1997 840 citations Lianping Xing, Brendan F. Boyce et al. profile →
  3. Biology of RANK, RANKL, and osteoprotegerin
    2007 733 citations Brendan F. Boyce, Lianping Xing Arthritis Research & Therapy profile →
  4. Generation and characterization of androgen receptor knockout (ARKO) mice: An in vivo model for the study of androgen functions in selective tissues
    2002 534 citations Shuyuan Yeh, Qingquan Xu et al. Proceedings of the National Academy of Sciences profile →
  5. MicroRNA-204 Regulates Runx2 Protein Expression and Mesenchymal Progenitor Cell Differentiation
    2009 508 citations Jian Huang, Lan Zhao et al. profile →
  6. Current understanding of osteoarthritis pathogenesis and relevant new approaches
    2022 259 citations Lianping 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
Lianping Xing United States 61 8.6k 5.3k 2.5k 2.2k 2.1k 177 14.2k
Hisataka Yasuda Japan 49 11.1k 1.3× 7.7k 1.4× 2.4k 1.0× 2.1k 0.9× 2.8k 1.3× 118 14.7k
Toshiyuki Yoneda Japan 76 9.0k 1.0× 8.7k 1.6× 2.2k 0.9× 2.3k 1.0× 2.4k 1.1× 230 17.3k
Matthew T. Gillespie Australia 60 9.6k 1.1× 6.6k 1.2× 1.6k 0.7× 2.2k 1.0× 2.0k 0.9× 156 14.3k
Akira Yamaguchi Japan 59 12.5k 1.4× 5.7k 1.1× 2.1k 0.9× 3.8k 1.7× 2.0k 1.0× 228 19.0k
F. Patrick Ross United States 62 10.8k 1.3× 6.0k 1.1× 2.5k 1.0× 2.4k 1.1× 2.3k 1.1× 196 16.8k
Hiroshi Takayanagi Japan 34 7.8k 0.9× 4.4k 0.8× 2.1k 0.8× 1.6k 0.7× 1.5k 0.7× 58 10.9k
Tomoki Nakashima Japan 47 7.0k 0.8× 3.9k 0.7× 1.7k 0.7× 1.7k 0.7× 1.5k 0.7× 133 11.4k
Natalie A. Sims Australia 63 7.6k 0.9× 4.6k 0.9× 1.2k 0.5× 1.5k 0.7× 2.3k 1.1× 206 13.0k
W. Scott Simonet United States 32 9.5k 1.1× 5.4k 1.0× 1.5k 0.6× 1.5k 0.7× 2.9k 1.4× 43 13.4k
Hiroshi Takayanagi Japan 62 11.8k 1.4× 6.9k 1.3× 3.1k 1.3× 3.1k 1.4× 2.3k 1.1× 163 19.1k

Countries citing papers authored by Lianping Xing

Since Specialization
Citations

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

Fields of papers citing papers by Lianping Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianping Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Lianping Xing. A scholar is included among the top collaborators of Lianping 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 Lianping Xing. Lianping Xing 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.
Chen, Jinman, Wenjing Zheng, Hao Xu, et al.. (2025). Brain–cervical lymph node crosstalk contributes to brain injury induced by subarachnoid hemorrhage in mice. Nature Communications. 16(1). 8551–8551.
2.
Zhao, Li, Yan Liu, Lianping Xing, et al.. (2025). Notoginsenoside R1 reduces acquired lymphedema and increases lymphangiogenesis by promoting VEGF-C expression via cAMP/PKA/CREB signaling. Phytomedicine. 139. 156554–156554. 1 indexed citations
3.
4.
Wang, Pengyu, Li Zhao, Lianping Xing, et al.. (2024). A novel therapy for fracture healing by increasing lymphatic drainage. Journal of Orthopaedic Translation. 45. 66–74. 6 indexed citations
5.
Kenney, H. Mark, Ronald W. Wood, Lianping Xing, et al.. (2024). High-throughput micro-CT analysis identifies sex-dependent biomarkers of erosive arthritis in TNF-Tg mice and differential response to anti-TNF therapy. PLoS ONE. 19(7). e0305623–e0305623. 2 indexed citations
6.
Xu, Hao, Chi Qin, Jing Zhang, et al.. (2024). Reduced expression of semaphorin 3A in osteoclasts causes lymphatic expansion in a Gorham-Stout disease (GSD) mouse model. Journal of Zhejiang University SCIENCE B. 25(1). 38–50. 1 indexed citations
7.
Lin, Xi, Richard D. Bell, Takahiro Takano, et al.. (2023). Targeting Synovial Lymphatic Function as a Novel Therapeutic Intervention for Age‐Related Osteoarthritis in Mice. Arthritis & Rheumatology. 75(6). 923–936. 17 indexed citations
8.
9.
Yao, Zhenqiang, Xin Liu, Rong Duan, et al.. (2023). TGFβ1+CCR5+ neutrophil subset increases in bone marrow and causes age-related osteoporosis in male mice. Nature Communications. 14(1). 159–159. 26 indexed citations
10.
Kenney, H. Mark, Richard D. Bell, Ronald W. Wood, et al.. (2022). Persistent popliteal lymphatic muscle cell coverage defects despite amelioration of arthritis and recovery of popliteal lymphatic vessel function in TNF-Tg mice following anti-TNF therapy. Scientific Reports. 12(1). 12751–12751. 8 indexed citations
11.
Kenney, H. Mark, Chia‐Lung Wu, Alayna E. Loiselle, et al.. (2022). Single-cell transcriptomics of popliteal lymphatic vessels and peripheral veins reveals altered lymphatic muscle and immune cell populations in the TNF-Tg arthritis model. Arthritis Research & Therapy. 24(1). 64–64. 17 indexed citations
12.
Yao, Zhenqiang, Lianping Xing, & Brendan F. Boyce. (2020). RANKL-Based Osteoclastogenic Assay from Murine Bone Marrow Cells. Methods in molecular biology. 457–465. 1 indexed citations
13.
Bell, Richard D., et al.. (2019). iNOS dependent and independent phases of lymph node expansion in mice with TNF-induced inflammatory-erosive arthritis. Arthritis Research & Therapy. 21(1). 240–240. 19 indexed citations
14.
Li, Jie, Quan Zhou, Ronald W. Wood, et al.. (2011). CD23+/CD21hi B-cell translocation and ipsilateral lymph node collapse is associated with asymmetric arthritic flare in TNF-Tg mice. Arthritis Research & Therapy. 13(4). R138–R138. 47 indexed citations
15.
Zhao, Lan, Jian Huang, Ruolin Guo, et al.. (2010). Smurf1 inhibits mesenchymal stem cell proliferation and differentiation into osteoblasts through JunB degradation. Journal of Bone and Mineral Research. 25(6). 1246–1256. 78 indexed citations
16.
Li, Jie, Igor Kuzin, Steven T. Proulx, et al.. (2010). Expanded CD23+/CD21hi B Cells in Inflamed Lymph Nodes Are Associated with the Onset of Inflammatory-Erosive Arthritis in TNF-Transgenic Mice and Are Targets of Anti-CD20 Therapy. The Journal of Immunology. 184(11). 6142–6150. 71 indexed citations
17.
Mensah, Kofi A., Alexis Mathian, Lin Ma, et al.. (2010). Mediation of nonerosive arthritis in a mouse model of lupus by interferon‐α–stimulated monocyte differentiation that is nonpermissive of osteoclastogenesis. Arthritis & Rheumatism. 62(4). 1127–1137. 24 indexed citations
18.
Proulx, Steven T., Edmund Kwok, Zhigang You, et al.. (2007). Longitudinal assessment of synovial, lymph node, and bone volumes in inflammatory arthritis in mice by in vivo magnetic resonance imaging and microfocal computed tomography. Arthritis & Rheumatism. 56(12). 4024–4037. 78 indexed citations
19.
Schwarz, Edward M., R. John Looney, Hicham Drissi, et al.. (2006). Autoimmunity and Bone. Annals of the New York Academy of Sciences. 1068(1). 275–283. 25 indexed citations
20.
Yeh, Shuyuan, Qingquan Xu, Henry A. Lardy, et al.. (2002). Generation and characterization of androgen receptor knockout (ARKO) mice: An in vivo model for the study of androgen functions in selective tissues. Proceedings of the National Academy of Sciences. 99(21). 13498–13503. 534 indexed citations breakdown →

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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