Panpan Liang

448 total citations
20 papers, 310 citations indexed

About

Panpan Liang is a scholar working on Epidemiology, Molecular Biology and Oral Surgery. According to data from OpenAlex, Panpan Liang has authored 20 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Oral Surgery. Recurrent topics in Panpan Liang's work include Bone Tissue Engineering Materials (3 papers), Nail Diseases and Treatments (3 papers) and Mesenchymal stem cell research (2 papers). Panpan Liang is often cited by papers focused on Bone Tissue Engineering Materials (3 papers), Nail Diseases and Treatments (3 papers) and Mesenchymal stem cell research (2 papers). Panpan Liang collaborates with scholars based in China, United States and Denmark. Panpan Liang's co-authors include Shujuan Dong, Jinyan Zeng, Pengfei Zhou, Longhui Deng, Jianing Jiang, Xin Zhou, Xiaodong Li, Chao Wang, Wenping Luo and Zhixiang Mu and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and PROTEOMICS.

In The Last Decade

Panpan Liang

19 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panpan Liang China 11 67 55 47 45 41 20 310
Rongjian Lu China 12 162 2.4× 62 1.1× 93 2.0× 12 0.3× 79 1.9× 42 505
Panpan Liang China 13 248 3.7× 132 2.4× 148 3.1× 11 0.2× 29 0.7× 19 566
Rico Rutkowski Germany 14 116 1.7× 96 1.7× 23 0.5× 39 0.9× 88 2.1× 29 584
Yutao Jian China 13 192 2.9× 71 1.3× 50 1.1× 29 0.6× 60 1.5× 37 495
Paolo Tarsini Italy 14 159 2.4× 154 2.8× 56 1.2× 50 1.1× 66 1.6× 20 570
Tianfeng Du China 17 92 1.4× 86 1.6× 10 0.2× 35 0.8× 28 0.7× 28 833
Wayne Nishio Ayre United Kingdom 12 182 2.7× 70 1.3× 53 1.1× 40 0.9× 46 1.1× 27 463
Qingyi He China 9 102 1.5× 45 0.8× 30 0.6× 40 0.9× 71 1.7× 21 416
Yoshimi Ohyabu Japan 13 204 3.0× 105 1.9× 29 0.6× 31 0.7× 130 3.2× 20 517
Kaixuan Zhou China 11 68 1.0× 117 2.1× 64 1.4× 10 0.2× 28 0.7× 29 439

Countries citing papers authored by Panpan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panpan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Panpan Liang. A scholar is included among the top collaborators of Panpan 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 Panpan Liang. Panpan 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.
2.
Liang, Panpan, Yan Li, Lijun Meng, et al.. (2024). Prognostic significance of serum interleukin-6 in severe/critical COVID-19 patients treated with tocilizumab: a detailed observational study analysis. Scientific Reports. 14(1). 29634–29634. 3 indexed citations
3.
Liu, Yaqin, Kun Fang, Panpan Liang, et al.. (2024). Unraveling the potential biomarkers of immune checkpoint inhibitors in advanced ovarian cancer: a comprehensive review. Investigational New Drugs. 42(6). 728–738. 4 indexed citations
4.
Ma, Xiaofei, Chunjuan Wang, Pengfei Zhou, et al.. (2022). Comparison of the biomechanical differences in the occlusal movement of wild-type and BMP9 knockout mice with apical periodontitis. Frontiers in Bioengineering and Biotechnology. 10. 1036061–1036061. 3 indexed citations
5.
Luo, Wenping, Panpan Liang, Linghuan Zhang, et al.. (2022). Reversely immortalized mouse salivary gland cells presented a promising metabolic and fibrotic response upon BMP9/Gdf2 stimulation. Cellular & Molecular Biology Letters. 27(1). 46–46. 2 indexed citations
6.
Liang, Panpan, Dan Li, Jing Xie, et al.. (2022). Platinum Nanoparticles and Carbon Nanopolymer Composite as Sensor for Highly Sensitive Determination of Salbutamol in Pork Meat and Pork Liver. International Journal of Electrochemical Science. 17(2). 220217–220217. 5 indexed citations
7.
Deng, Weiwei, Zhen Su, Panpan Liang, et al.. (2021). Single-cell immune checkpoint landscape of PBMCs stimulated with Candida albicans. Emerging Microbes & Infections. 10(1). 1272–1283. 17 indexed citations
8.
Li, Min, Tiwei Fu, Lanlan Pan, et al.. (2021). Agarose-based spheroid culture enhanced stemness and promoted odontogenic differentiation potential of human dental follicle cells in vitro. In Vitro Cellular & Developmental Biology - Animal. 57(6). 620–630. 20 indexed citations
9.
Li, Min, Jinlin Song, Tiwei Fu, et al.. (2021). Different grinding speeds affect induced regeneration capacity of human treated dentin matrix. Journal of Biomedical Materials Research Part B Applied Biomaterials. 110(4). 755–767. 2 indexed citations
10.
Deng, Weiwei, Yubo Ma, Zhen Su, et al.. (2020). Single-cell RNA-sequencing analyses identify heterogeneity of CD8+ T cell subpopulations and novel therapy targets in melanoma. Molecular Therapy — Oncolytics. 20. 105–118. 29 indexed citations
11.
Mu, Zhixiang, Kaiwen Chen, Shuai Yuan, et al.. (2020). Gelatin Nanoparticle‐Injectable Platelet‐Rich Fibrin Double Network Hydrogels with Local Adaptability and Bioactivity for Enhanced Osteogenesis. Advanced Healthcare Materials. 9(5). e1901469–e1901469. 78 indexed citations
12.
Wang, Dezheng, Shujuan Dong, Jinyan Zeng, et al.. (2020). Influence of doping Mg2+ or Ti4+ captions on the microstructures, thermal radiation and thermal cycling behavior of plasma-sprayed Gd2Zr2O7 coatings. Ceramics International. 46(9). 13054–13065. 22 indexed citations
13.
14.
Liang, Panpan, Shujuan Dong, Jinyan Zeng, et al.. (2019). La2Hf2O7 ceramics as potential top-coat materials for thermal/environmental barrier coatings. Ceramics International. 45(17). 22432–22436. 33 indexed citations
15.
Dong, Shujuan, Yihui Wang, Jinyan Zeng, et al.. (2019). Performance of plasma-sprayed CuNiIn coatings and Mo coatings subjected to fretting fatigue. Nano Materials Science. 2(2). 140–150. 15 indexed citations
16.
Liang, Panpan, et al.. (2018). Bone Regeneration of Canine Peri-implant Defects Using Cell Sheets of Adipose-Derived Mesenchymal Stem Cells and Platelet-Rich Fibrin Membranes. Journal of Oral and Maxillofacial Surgery. 77(3). 499–514. 25 indexed citations
17.
18.
Ma, Han, Panpan Liang, Jian Chen, Peiying Feng, & Wei Lai. (2017). Keratitis–ichthyosis–deafness syndrome accompanied by disseminated cutaneous fungal infection. The Journal of Dermatology. 44(11). 1255–1261. 7 indexed citations
19.
Liang, Panpan, et al.. (2015). A Trichophyton Rubrum Infection Model Based on the Reconstructed Human Epidermis - Episkin®. Chinese Medical Journal. 129(1). 54–58. 14 indexed citations
20.
Liang, Panpan, et al.. (2015). Effect of Culture Supernatant Derived from Trichophyton Rubrum Grown in the Nail Medium on the Innate Immunity-related Molecules of HaCaT. Chinese Medical Journal. 128(22). 3094–3100. 10 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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