X.G. Liang

1.2k total citations
21 papers, 907 citations indexed

About

X.G. Liang is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Oncology. According to data from OpenAlex, X.G. Liang has authored 21 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Orthopedics and Sports Medicine and 10 papers in Oncology. Recurrent topics in X.G. Liang's work include Bone health and osteoporosis research (13 papers), Bone Metabolism and Diseases (11 papers) and Bone health and treatments (10 papers). X.G. Liang is often cited by papers focused on Bone health and osteoporosis research (13 papers), Bone Metabolism and Diseases (11 papers) and Bone health and treatments (10 papers). X.G. Liang collaborates with scholars based in United States, China and Japan. X.G. Liang's co-authors include V. Shen, Robert Lindsay, David W. Dempster, D.D. Wu, R. Birchman, W.S.S. Jee, May Parisien, Robert A. Dodds, Maxine Gowen and R.B. Setterberg and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Journal of Bone and Mineral Research.

In The Last Decade

X.G. Liang

20 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
X.G. Liang United States 18 513 461 457 141 92 21 907
J. M. Zanelli United Kingdom 9 320 0.6× 306 0.7× 351 0.8× 134 1.0× 62 0.7× 19 656
L G Raisz United States 12 236 0.5× 458 1.0× 294 0.6× 29 0.2× 107 1.2× 15 885
Ryoko Takao-Kawabata Japan 14 279 0.5× 228 0.5× 249 0.5× 52 0.4× 31 0.3× 26 521
Amy Y. Sato United States 13 336 0.7× 560 1.2× 312 0.7× 30 0.2× 112 1.2× 21 918
A.M.H. Suiker Belgium 10 403 0.8× 363 0.8× 223 0.5× 40 0.3× 195 2.1× 10 787
Payton Price United States 3 152 0.3× 172 0.4× 147 0.3× 140 1.0× 63 0.7× 4 616
Jie‐Mei Gu China 17 237 0.5× 312 0.7× 172 0.4× 65 0.5× 294 3.2× 44 888
A. Miyauchi Japan 15 86 0.2× 352 0.8× 173 0.4× 117 0.8× 57 0.6× 26 611
Eveline Boudin Belgium 16 229 0.4× 584 1.3× 233 0.5× 28 0.2× 310 3.4× 43 920
Sadaoki Sakai Japan 13 207 0.4× 290 0.6× 191 0.4× 31 0.2× 34 0.4× 27 555

Countries citing papers authored by X.G. Liang

Since Specialization
Citations

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

Fields of papers citing papers by X.G. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X.G. Liang. 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 X.G. Liang. The network helps show where X.G. Liang may publish in the future.

Co-authorship network of co-authors of X.G. Liang

This figure shows the co-authorship network connecting the top 25 collaborators of X.G. Liang. A scholar is included among the top collaborators of X.G. Liang 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 X.G. Liang. X.G. Liang 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.
Jiang, Ning, et al.. (2025). Integrative proteomic analysis reveals the potential diagnostic marker and drug target for the Type‐2 diabetes mellitus. Journal of Diabetes & Metabolic Disorders. 24(1). 55–55.
2.
Liang, X.G., Bo Li, Fei Wu, et al.. (2017). Bitterness and antibacterial activities of constituents from Evodia rutaecarpa. BMC Complementary and Alternative Medicine. 17(1). 180–180. 18 indexed citations
4.
Hankenson, Kurt D., Iain James, Stephen Apone, et al.. (2005). Increased osteoblastogenesis and decreased bone resorption protect against ovariectomy-induced bone loss in thrombospondin-2-null mice. Matrix Biology. 24(5). 362–370. 24 indexed citations
5.
Lark, Michael W., George B. Stroup, Ian E. James, et al.. (2002). A potent small molecule, nonpeptide inhibitor of cathepsin K (SB 331750) prevents bone matrix resorption in the ovariectomized rat. Bone. 30(5). 746–753. 62 indexed citations
6.
Lark, Michael W., George B. Stroup, Robert A. Dodds, et al.. (2001). Antagonism of the Osteoclast Vitronectin Receptor with an Orally Active Nonpeptide Inhibitor Prevents Cancellous Bone Loss in the Ovariectomized Rat. Journal of Bone and Mineral Research. 16(2). 319–327. 44 indexed citations
7.
Visentin, L., Robert A. Dodds, Maurizio Valente, et al.. (2000). A selective inhibitor of the osteoclastic V-H+-ATPase prevents bone loss in both thyroparathyroidectomized and ovariectomized rats. Journal of Clinical Investigation. 106(2). 309–318. 100 indexed citations
8.
Dempster, D. W., May Parisien, Shonni J. Silverberg, et al.. (1999). On the Mechanism of Cancellous Bone Preservation in Postmenopausal Women with Mild Primary Hyperparathyroidism1. The Journal of Clinical Endocrinology & Metabolism. 84(5). 1562–1566. 137 indexed citations
9.
Ke, H.Z., V. Shen, Hongyi Qi, et al.. (1998). Prostaglandin E2 increases bone strength in intact rats and in ovariectomized rats with established osteopenia. Bone. 23(3). 249–255. 47 indexed citations
10.
Shen, V., R. Birchman, X.G. Liang, et al.. (1998). Accretion of Bone Mass and Strength with Parathyroid Hormone Prior to the Onset of Estrogen Deficiency Can Provide Temporary Beneficial Effects in Skeletally Mature Rats. Journal of Bone and Mineral Research. 13(5). 883–890. 13 indexed citations
12.
Shen, V., X.G. Liang, R. Birchman, et al.. (1997). Short term immobilization-induced cancellous bone loss is limited to regions undergoing high turnover and/or modeling in mature rats. Bone. 21(1). 71–78. 35 indexed citations
13.
Parisien, May, Felicia Cosman, D. Morgan, et al.. (1997). Histomorphometric Assessment of Bone Mass, Structure, and Remodeling: A Comparison Between Healthy Black and White Premenopausal Women. Journal of Bone and Mineral Research. 12(6). 948–957. 75 indexed citations
14.
Meng, Xianghui, X.G. Liang, R. Birchman, et al.. (1996). Temporal expression of the anabolic action of PTH in cancellous bone of ovariectomized rats. Journal of Bone and Mineral Research. 11(4). 421–429. 79 indexed citations
15.
Ijiri, Kenichi, Y.F. Ma, W.S.S. Jee, Takahiro Akamine, & X.G. Liang. (1995). Adaptation of non-growing former epiphysis and metaphyseal trabecular bones to aging and immobilization in rat. Bone. 17(4). S207–S212. 14 indexed citations
16.
Jee, W.S.S., Hua Zhu Ke, Li Tang, et al.. (1995). Prostaglandin E2 administration prevents bone loss induced by orchidectomy in rats. Journal of Bone and Mineral Research. 10(1). 66–73. 42 indexed citations
17.
Ma, Yujie, W.S.S. Jee, J.E. McOsker, et al.. (1995). Effects of prostaglandin E2 and F2α on the skeleton of osteopenic ovariectomized rats. Bone. 17(6). 549–554. 31 indexed citations
18.
Epstein, Sol, Makoto Takizawa, Barry Stein, et al.. (1994). Effect of cyclosporin A on bone mineral metabolism in experimental diabetes mellitus in the rat. Journal of Bone and Mineral Research. 9(4). 557–566. 26 indexed citations
20.
Ke, Hua Zhu, W.S.S. Jee, Ito H, et al.. (1993). Greater bone formation induction occurred in aged than young cancellous bone sites. Bone. 14(3). 481–485. 22 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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