Ping Ji

590 total citations
28 papers, 477 citations indexed

About

Ping Ji is a scholar working on Rheumatology, Complementary and Manual Therapy and Molecular Biology. According to data from OpenAlex, Ping Ji has authored 28 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 5 papers in Complementary and Manual Therapy and 4 papers in Molecular Biology. Recurrent topics in Ping Ji's work include Osteoarthritis Treatment and Mechanisms (6 papers), Temporomandibular Joint Disorders (5 papers) and Stress Responses and Cortisol (4 papers). Ping Ji is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (6 papers), Temporomandibular Joint Disorders (5 papers) and Stress Responses and Cortisol (4 papers). Ping Ji collaborates with scholars based in China, Canada and Myanmar. Ping Ji's co-authors include Kimberly Dow, Wei Wang, Qiwei Yao, Desheng Liu, Dongsheng Zhou, Hong‐Juan Peng, Jingjing Kong, Yingying Yang, Richard J. Riopelle and Wei Wang and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Neurochemistry and Transplantation.

In The Last Decade

Ping Ji

28 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Ji China 12 85 65 64 63 58 28 477
Daniel Galera Bernabé Brazil 16 91 1.1× 30 0.5× 98 1.5× 59 0.9× 9 0.2× 63 784
Glauco Issamu Miyahara Brazil 15 168 2.0× 19 0.3× 89 1.4× 42 0.7× 47 0.8× 80 662
Rene Flores United States 15 56 0.7× 38 0.6× 234 3.7× 30 0.5× 61 1.1× 54 807
Yan Tang China 13 33 0.4× 63 1.0× 118 1.8× 34 0.5× 13 0.2× 27 525
Sirajedin Natah Finland 13 376 4.4× 82 1.3× 120 1.9× 18 0.3× 37 0.6× 15 841
Beáta Kerémi Hungary 13 95 1.1× 18 0.3× 89 1.4× 12 0.2× 40 0.7× 33 437
Gita Pezeshki Germany 9 161 1.9× 98 1.5× 141 2.2× 59 0.9× 59 1.0× 13 593
Bernice Noble United States 17 19 0.2× 182 2.8× 150 2.3× 41 0.7× 73 1.3× 38 890
Tetsuya Yoda Japan 17 55 0.6× 31 0.5× 349 5.5× 14 0.2× 129 2.2× 53 795
Ki‐Heon Jeong South Korea 16 12 0.1× 93 1.4× 75 1.2× 85 1.3× 30 0.5× 79 774

Countries citing papers authored by Ping Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ping Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Ji. A scholar is included among the top collaborators of Ping Ji 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 Ji. Ping Ji 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.
Han, Junfeng, Hongwei Yu, Yuan Zhang, et al.. (2023). Detection of serum Aspergillus-specific IgM and IgG antibody levels for the diagnosis of chronic pulmonary aspergillosis developed in patients with tuberculosis. European Journal of Clinical Microbiology & Infectious Diseases. 42(9). 1081–1089. 7 indexed citations
2.
Li, Xinlin, et al.. (2023). Novel pH-Responsive CaO2@ZIF-67-HA-ADH Coating That Efficiently Enhances the Antimicrobial, Osteogenic, and Angiogenic Properties of Titanium Implants. ACS Applied Materials & Interfaces. 15(36). 42965–42980. 22 indexed citations
3.
Liu, Fengyi, Xu Wang, Yuzhou Li, et al.. (2022). Dendrimer-modified gelatin methacrylate hydrogels carrying adipose-derived stromal/stem cells promote cartilage regeneration. Stem Cell Research & Therapy. 13(1). 26–26. 29 indexed citations
4.
Dong, Qi, Shuzhen Sun, Liang Han, et al.. (2020). Stromal cell‐derived factor‐1 regulates the secretion of interleukin‐1β in the temporomandibular joint of rats with synovial inflammation. Journal of Oral Pathology and Medicine. 49(9). 933–939. 4 indexed citations
5.
Wang, Penglai, et al.. (2018). Effects of Platelet Concentrates Used in Alveolar Ridge Preservation. Implant Dentistry. 27(4). 498–506. 9 indexed citations
6.
7.
Wang, Xiaoyan, et al.. (2016). AMD3100 Attenuates Matrix Metalloprotease-3 and -9 Expressions and Prevents Cartilage Degradation in a Monosodium Iodo-Acetate–Induced Rat Model of Temporomandibular Osteoarthritis. Journal of Oral and Maxillofacial Surgery. 74(5). 927.e1–927.e13. 17 indexed citations
8.
Jiang, Linhong, et al.. (2016). Effect of p38 Mitogen Activated Protein Kinase Inhibitor on Temporomandibular Joint Synovitis Induced by Occlusal Alteration. Journal of Oral and Maxillofacial Surgery. 74(6). 1131–1139. 4 indexed citations
9.
10.
Kong, Jingjing, et al.. (2015). Effect of TLR4/MyD88 Signaling Pathway on Expression of IL‐1β and TNF‐α in Synovial Fibroblasts from Temporomandibular Joint Exposed to Lipopolysaccharide. Mediators of Inflammation. 2015(1). 329405–329405. 43 indexed citations
11.
Zhang, Yujun, Xiaohui Wang, Mengmeng Zhang, et al.. (2015). The trophic effect of ciliary neurotrophic factor on injured masseter muscle in rat.. PubMed. 18(9). 920–6. 1 indexed citations
12.
Yang, Jinglei, et al.. (2014). Impact of MDM2 Single Nucleotide Polymorphism on Oral Squamous Cell Carcinoma Risk. Cell Biochemistry and Biophysics. 71(2). 993–998. 1 indexed citations
13.
Yao, Qiwei, Dongsheng Zhou, Hong‐Juan Peng, Ping Ji, & Desheng Liu. (2014). Association of periodontal disease with oral cancer: a meta-analysis. Tumor Biology. 35(7). 7073–7077. 89 indexed citations
14.
Fan, Xin, Zhifeng Wang, Ping Ji, Yuanyuan Bian, & Jing Lan. (2012). rgpA DNA Vaccine Induces Antibody Response and Prevents Alveolar Bone Loss in Experimental Peri‐Implantitis. Journal of Periodontology. 84(6). 850–856. 7 indexed citations
15.
Tian, Zhaofang, et al.. (2012). [Influence of human mesenchymal stem cells on hyperoxia-exposed newborn rats by RAGE-NF-κB signaling in lung].. PubMed. 50(5). 356–60. 3 indexed citations
16.
Ji, Ping, et al.. (2007). Corticotropin Releasing Hormone Modulates Endotoxin-Induced Inflammatory Cytokine Expression in Human Trophoblast Cells. Placenta. 28(10). 1032–1038. 27 indexed citations
17.
Wang, Wei, et al.. (2004). Corticotropin-releasing hormone potentiates neural injury induced by oxygen-glucose deprivation: a possible involvement of microglia. Neuroscience Letters. 371(2-3). 133–137. 10 indexed citations
18.
Ji, Ping, et al.. (2002). Prevention of chronic rejection by pravastatin in a rat kidney transplant model.. Transplantation. 74(6). 821–827. 20 indexed citations
19.
Wang, Wei, Ping Ji, & Kimberly Dow. (2002). Corticotropin‐releasing hormone induces proliferation and TNF‐α release in cultured rat microglia via MAP kinase signalling pathways. Journal of Neurochemistry. 84(1). 189–195. 73 indexed citations
20.
Wang, Wei, Ping Ji, Richard J. Riopelle, & Kimberly Dow. (2002). Functional expression of corticotropin‐releasing hormone (CRH) receptor 1 in cultured rat microglia. Journal of Neurochemistry. 80(2). 287–294. 35 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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