Songlin Wang

9.9k total citations · 3 hit papers
146 papers, 7.2k citations indexed

About

Songlin Wang is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Songlin Wang has authored 146 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 44 papers in Genetics and 28 papers in Surgery. Recurrent topics in Songlin Wang's work include Mesenchymal stem cell research (44 papers), Periodontal Regeneration and Treatments (23 papers) and dental development and anomalies (17 papers). Songlin Wang is often cited by papers focused on Mesenchymal stem cell research (44 papers), Periodontal Regeneration and Treatments (23 papers) and dental development and anomalies (17 papers). Songlin Wang collaborates with scholars based in China, United States and Poland. Songlin Wang's co-authors include Wataru Sonoyama, Yi Liu, Songtao Shi, Takayoshi Yamaza, Chunmei Zhang, Zhipeng Fan, George T.‐J. Huang, Stan Gronthos, Dianji Fang and Songtao Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Cell Biology.

In The Last Decade

Songlin Wang

138 papers receiving 7.0k citations

Hit Papers

Mesenchymal Stem Cell-Mediated Functional Tooth Regenerat... 2006 2026 2012 2019 2006 2008 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songlin Wang China 38 3.4k 2.6k 2.3k 1.5k 1.3k 146 7.2k
Misako Nakashima Japan 44 2.3k 0.7× 2.4k 0.9× 1.9k 0.8× 1.0k 0.7× 1.9k 1.5× 100 6.9k
Songtao Shi United States 25 2.2k 0.7× 2.2k 0.8× 1.3k 0.6× 1.0k 0.7× 971 0.8× 49 5.8k
Songtao Shi China 35 6.9k 2.0× 4.3k 1.6× 3.5k 1.5× 2.7k 1.8× 1.1k 0.9× 52 11.4k
Jaime S. Brahim United States 33 5.5k 1.6× 3.6k 1.4× 3.4k 1.4× 2.5k 1.7× 1.8k 1.4× 66 10.9k
Gianpaolo Papaccio Italy 49 2.9k 0.9× 2.4k 0.9× 1.5k 0.6× 2.2k 1.4× 613 0.5× 149 7.5k
Jacques E. Nör United States 62 2.1k 0.6× 4.6k 1.8× 1.5k 0.6× 1.7k 1.1× 2.9k 2.3× 225 12.4k
Kentaro Akiyama Japan 37 3.0k 0.9× 1.8k 0.7× 1.1k 0.5× 1.4k 0.9× 368 0.3× 80 5.7k
Takanori Iwata Japan 32 1.3k 0.4× 1.1k 0.4× 1.3k 0.5× 815 0.5× 646 0.5× 169 4.1k
Zhipeng Fan China 36 1.8k 0.5× 2.3k 0.9× 944 0.4× 723 0.5× 342 0.3× 136 4.8k
Oriana Trubiani Italy 47 1.8k 0.5× 2.2k 0.9× 870 0.4× 1.1k 0.7× 413 0.3× 202 6.2k

Countries citing papers authored by Songlin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Songlin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songlin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Songlin Wang. A scholar is included among the top collaborators of Songlin Wang 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 Songlin Wang. Songlin Wang 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.
Yuan, Xin, Xiaoyu Lin, Jinsong Wang, et al.. (2025). Canonical Wnt Pathway Enhanced Dental Pulp Mesenchymal Stem Cells‐Mediated Cementum Regeneration. Journal of Oral Rehabilitation. 52(10). 1571–1582.
2.
Zhou, Jian, Xiaohang Chen, Wenjing Yi, et al.. (2025). Molecular changes of cellular senescence in dental pulp stem cells during in vitro culture: A potential role of PSG4. Tissue and Cell. 93. 102758–102758. 2 indexed citations
3.
Li, Xiaohui, Haozhe Xu, Xiaotong Han, et al.. (2024). The direct and indirect inhibition of proinflammatory adipose tissue macrophages by acarbose in diet-induced obesity. Cell Reports Medicine. 6(1). 101883–101883. 7 indexed citations
4.
Wang, Songlin, et al.. (2023). Insulin-like growth factor 1 in heat stress-induced neuroinflammation: novel perspective about the neuroprotective role of chromium. SHILAP Revista de lepidopterología. 3(1). 23–23. 3 indexed citations
5.
Wang, Shuai, Songlin Wang, Shulin Chen, et al.. (2023). Ketogenic Diet Alleviates Hypoglycemia‐Induced Neuroinflammation via Modulation the Gut Microbiota in Mice. Molecular Nutrition & Food Research. 67(11). e2200711–e2200711. 12 indexed citations
6.
Liu, Huan, Lei Hu, Dake Zhang, Xiaogang Wang, & Songlin Wang. (2023). Stem cell niches functionalized strategies for organ regeneration and manufacturing. 1(3). 100037–100037. 3 indexed citations
7.
Zheng, Ming, et al.. (2023). Endo-Periodontal Lesions—An Overlooked Etiology of Odontogenic Sinusitis. Journal of Clinical Medicine. 12(21). 6888–6888. 4 indexed citations
8.
Zhao, Dan, et al.. (2023). Association between Periodontitis and HbA1c Levels in Non-Diabetic Patients: A Systematic Review and Meta-Analysis. Healthcare. 11(19). 2649–2649. 6 indexed citations
9.
Lin, Yi, et al.. (2023). lncRNA TRHDE-AS1 Correlated with Genomic Landscape and Clinical Outcome in Glioma. Genes. 14(5). 1052–1052. 3 indexed citations
10.
Wang, Jinsong, et al.. (2023). Function of Innate Lymphoid Cells in Periodontal Tissue Homeostasis: A Narrative Review. International Journal of Molecular Sciences. 24(7). 6099–6099. 4 indexed citations
12.
Cao, Yu, Jimin Xiong, Shenghui Mei, et al.. (2015). Aspirin promotes bone marrow mesenchymal stem cell-based calvarial bone regeneration in mini swine. Stem Cell Research & Therapy. 6(1). 210–210. 71 indexed citations
13.
Liu, Zhiqiang, Yan Liu, Yiqing Song, et al.. (2014). Systemic Oxidative Stress Biomarkers in Chronic Periodontitis: A Meta-Analysis. PMC. 1 indexed citations
14.
Wang, Songlin. (2013). Fault diagnosis of fan based on symbolic dynamics entropy and improved neural network. Journal of North China Electric Power University. 2 indexed citations
15.
Wei, Fulan, Tieli Song, Gang Ding, et al.. (2013). Functional Tooth Restoration by Allogeneic Mesenchymal Stem Cell-Based Bio-Root Regeneration in Swine. Stem Cells and Development. 22(12). 1752–1762. 117 indexed citations
16.
Ding, Gang, et al.. (2011). Identification and Cementoblastic / Osteoblastic Differentiation of Postnatal Stem Cells from Human Periodontal Ligament. Macedonian Journal of Medical Sciences. 4(1). 37–43. 4 indexed citations
17.
Wang, Songlin. (2010). Localization of the pathogenic gene of accessory fagus phenotype in a Chinese Han family. 1 indexed citations
18.
Ding, Gang, Yi Liu, Yunqing An, et al.. (2010). Suppression of T Cell Proliferation by Root Apical Papilla Stem Cells in vitro. Cells Tissues Organs. 191(5). 357–364. 53 indexed citations
19.
Wang, Jinsong, Xuan Wang, Zuoli Sun, et al.. (2010). Stem Cells from Human-Exfoliated Deciduous Teeth Can Differentiate into Dopaminergic Neuron-Like Cells. Stem Cells and Development. 19(9). 1375–1383. 167 indexed citations
20.
Zhang, Qunzhou, Takayoshi Yamaza, Audrey Kelly, et al.. (2009). Tumor-Like Stem Cells Derived from Human Keloid Are Governed by the Inflammatory Niche Driven by IL-17/IL-6 Axis. PLoS ONE. 4(11). e7798–e7798. 104 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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