Ping Tu

610 total citations
37 papers, 331 citations indexed

About

Ping Tu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, Ping Tu has authored 37 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Cell Biology. Recurrent topics in Ping Tu's work include Bone Metabolism and Diseases (7 papers), Bone health and osteoporosis research (5 papers) and Natural product bioactivities and synthesis (4 papers). Ping Tu is often cited by papers focused on Bone Metabolism and Diseases (7 papers), Bone health and osteoporosis research (5 papers) and Natural product bioactivities and synthesis (4 papers). Ping Tu collaborates with scholars based in China, Italy and Singapore. Ping Tu's co-authors include Peng Duan, Meilin Wei, Yajun Lin, Jiang Liu, Yi Shao, Yong‐Zhan Zhen, Yu Yao, Rong Xu, Yue Qiao and Miao Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Food Science.

In The Last Decade

Ping Tu

35 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping Tu China	12	152	56	49	35	34	37	331
Alexandra Aguilar‐Perez United States	11	181 1.2×	27 0.5×	67 1.4×	41 1.2×	49 1.4×	13	417
Vivekananda Kedage United States	10	135 0.9×	29 0.5×	40 0.8×	28 0.8×	14 0.4×	19	327
Yingquan Xiong China	11	211 1.4×	43 0.8×	47 1.0×	11 0.3×	34 1.0×	15	403
Junta Ito Japan	11	181 1.2×	32 0.6×	71 1.4×	131 3.7×	26 0.8×	18	396
Renhui Liu China	11	246 1.6×	16 0.3×	37 0.8×	69 2.0×	48 1.4×	33	412
Nada H. Eisa Egypt	13	164 1.1×	20 0.4×	54 1.1×	30 0.9×	15 0.4×	25	382
Carmela Rotem Israel	14	203 1.3×	83 1.5×	83 1.7×	37 1.1×	7 0.2×	21	612
Wonnam Kim South Korea	13	235 1.5×	16 0.3×	118 2.4×	24 0.7×	17 0.5×	34	437
Bipradas Roy United States	10	187 1.2×	36 0.6×	54 1.1×	97 2.8×	59 1.7×	19	438
Tonia Luca Italy	11	90 0.6×	28 0.5×	49 1.0×	66 1.9×	8 0.2×	31	329

Countries citing papers authored by Ping Tu

Since Specialization

Citations

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

Fields of papers citing papers by Ping Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Tu. A scholar is included among the top collaborators of Ping Tu 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 Ping Tu. Ping Tu 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

Li, Weihong, et al.. (2023). Clinical application of the fracture risk assessment tool in the general population and its correlation with bone turnover markers. Frontiers in Pharmacology. 13. 1013483–1013483. 5 indexed citations

Yang, Zhi, et al.. (2021). Association Between Early Markers of Renal Injury and Type 2 Diabetic Peripheral Neuropathy. Diabetes Metabolic Syndrome and Obesity. Volume 14. 4391–4397. 14 indexed citations

Chen, Xi, et al.. (2021). The Impact on Blood Pressure of a Short-Term Change in Indoor Temperature. International Journal of General Medicine. Volume 14. 1507–1511. 3 indexed citations

Liu, Jiang, et al.. (2017). Associations between anthropometric parameters and lipid profiles in Chinese individuals with age ≥40 years and BMI <28kg/m2. PLoS ONE. 12(6). e0178343–e0178343. 20 indexed citations

Duan, Peng, et al.. (2017). Serum Osteoprotegerin Is a Potential Biomarker of Insulin Resistance in Chinese Postmenopausal Women with Prediabetes and Type 2 Diabetes. International Journal of Endocrinology. 2017. 1–8. 24 indexed citations

Shao, Yi, et al.. (2017). Clinical observation of the efficacy of Bevacizumab combined with argon green laser in treating fundus macular edema. Experimental and Therapeutic Medicine. 13(4). 1480–1484. 2 indexed citations

Wei, Meilin, et al.. (2017). High glucose and high insulin conditions promote MCF-7 cell proliferation and invasion by upregulating IRS1 and activating the Ras/Raf/ERK pathway. Molecular Medicine Reports. 16(5). 6690–6696. 24 indexed citations

Duan, Peng, et al.. (2016). Gene Polymorphisms in the RANKL/RANK/OPG Pathway Are Associated with Type 2 Diabetes Mellitus in Southern Han Chinese Women. Genetic Testing and Molecular Biomarkers. 20(6). 285–290. 6 indexed citations

Duan, Peng, et al.. (2015). Gene polymorphisms in RANKL/RANK/OPG pathway are associated with ages at menarche and natural menopause in Chinese women. BMC Women s Health. 15(1). 32–32. 8 indexed citations

10.

Duan, Peng, et al.. (2015). Association of gene polymorphisms in RANKL/RANK/OPG system with hypertension and blood pressure in Chinese women. Journal of Human Hypertension. 29(12). 749–753. 6 indexed citations

11.

Tu, Ping, et al.. (2014). Polymorphisms in genes in the RANKL/RANK/OPG pathway are associated with bone mineral density at different skeletal sites in post-menopausal women. Osteoporosis International. 26(1). 179–185. 30 indexed citations

12.

Liu, Jiang, Gang Hu, Rong Xu, et al.. (2013). Rhein lysinate decreases the generation of β-amyloid in the brain tissues of Alzheimer's disease model mice by inhibiting inflammatory response and oxidative stress. Journal of Asian Natural Products Research. 15(7). 756–763. 17 indexed citations

13.

Hu, Gang, Jiang Liu, Yong‐Zhan Zhen, et al.. (2013). Rhein lysinate increases the median survival time of SAMP10 mice: protective role in the kidney. Acta Pharmacologica Sinica. 34(4). 515–521. 20 indexed citations

14.

Lin, Yajun, et al.. (2013). Rhein lysinate inhibits monocyte adhesion to human umbilical vein endothelial cells by blocking p38 signaling pathway. Archives of Pharmacal Research. 36(11). 1410–1418. 5 indexed citations

15.

Tu, Ping, et al.. (2011). Value of HbA1C in the diagnosis of type 2 diabetes during an epidemiological survey of diabetes in the elderly of Nanchang community. Zhonghua neifenmi daixie zazhi. 27(1). 50–52. 1 indexed citations

16.

Cao, Xian, et al.. (2009). New mutations in the transglutaminase 1 gene in three families with lamellar ichthyosis. Clinical and Experimental Dermatology. 34(8). 904–909. 14 indexed citations

17.

Zhao, Yi, et al.. (2007). SPINK5 gene mutation and decreased LEKTI activity in three Chinese patients with Netherton's syndrome. Clinical and Experimental Dermatology. 32(5). 564–567. 4 indexed citations

18.

Yang, Yong, et al.. (2003). A Nonsense Mutation in Transglutaminase1Gene and Loss of Enzyme Activity in a Family with Lamellar Ichthyosis. Chinese Journal of Dermatology. 36(9). 487–489. 1 indexed citations

19.

Tu, Ping, et al.. (2003). Cistanche属植物の栽培研究 (第2報) Cistanche deserticola Y.C.MAの栽培宿主への寄生. 57(6). 215–220. 2 indexed citations

20.

Tu, Ping, et al.. (1998). [Histological studies on the roots of eighteen species of sect. microdiscus of the genus Adenophora].. PubMed. 33(5). 379–88.

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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