Peipei Song

3.8k total citations · 1 hit paper
104 papers, 2.5k citations indexed

About

Peipei Song is a scholar working on Molecular Biology, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Peipei Song has authored 104 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Epidemiology and 19 papers in Economics and Econometrics. Recurrent topics in Peipei Song's work include Health Systems, Economic Evaluations, Quality of Life (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers) and Genomics and Rare Diseases (7 papers). Peipei Song is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers) and Genomics and Rare Diseases (7 papers). Peipei Song collaborates with scholars based in China, Japan and United States. Peipei Song's co-authors include Chongge You, Wei Tang, Yanlong Hou, Wei Li, Jiangjiang He, Kenji Karako, Chunlin Jin, Yoshinori Inagaki, Wei Tang and Yi Cui and has published in prestigious journals such as PLoS ONE, Bioresource Technology and International Journal of Molecular Sciences.

In The Last Decade

Peipei Song

95 papers receiving 2.5k citations

Hit Papers

The clinical management of hepatocellular carcinoma world... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peipei Song China 28 651 444 430 347 248 104 2.5k
Zhijian Hu China 25 538 0.8× 469 1.1× 330 0.8× 477 1.4× 240 1.0× 160 2.6k
Yuan Fang China 29 399 0.6× 519 1.2× 159 0.4× 603 1.7× 154 0.6× 160 2.8k
Siyi He China 24 632 1.0× 216 0.5× 342 0.8× 253 0.7× 80 0.3× 103 2.3k
Yuping Wang China 21 670 1.0× 1.9k 4.3× 303 0.7× 526 1.5× 119 0.5× 71 4.0k
Dan Cui China 25 605 0.9× 273 0.6× 115 0.3× 162 0.5× 100 0.4× 144 2.4k
Yongning Zhou China 23 893 1.4× 1.8k 4.2× 549 1.3× 486 1.4× 120 0.5× 116 4.5k
Ying Yan China 22 424 0.7× 545 1.2× 138 0.3× 323 0.9× 38 0.2× 106 2.2k
Weihua Guan United States 30 694 1.1× 128 0.3× 314 0.7× 290 0.8× 89 0.4× 165 2.9k
Sanjeev Misra India 31 731 1.1× 672 1.5× 409 1.0× 248 0.7× 76 0.3× 190 3.7k
William E. Brady United States 36 978 1.5× 227 0.5× 480 1.1× 396 1.1× 314 1.3× 116 4.4k

Countries citing papers authored by Peipei Song

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Peipei Song. A scholar is included among the top collaborators of Peipei Song 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 Peipei Song. Peipei Song 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
3.
Song, Peipei, Qiwei Jiang, Xiaobo Wu, et al.. (2025). Palmitic acid and palmitoylation in cancer: Understanding, insights, and challenges. The Innovation. 6(8). 100918–100918.
4.
Ma, Yanan, et al.. (2025). Serum proteomics reveals early biomarkers of Alzheimer's disease: The dual role of <i>APOE-ε4 </i>. BioScience Trends. 19(1). 1–9. 5 indexed citations
5.
Ma, Yanan, Xiqi Hu, Kenji Karako, et al.. (2025). The potential and challenges of TREM2-targeted therapy in Alzheimer’s disease: insights from the INVOKE-2 study. Frontiers in Aging Neuroscience. 17. 1576020–1576020. 6 indexed citations
6.
Hu, Xiqi, et al.. (2024). Guardians of memory: The urgency of early dementia screening in an aging society. Intractable & Rare Diseases Research. 13(3). 133–137. 1 indexed citations
7.
Chen, Minxing, et al.. (2024). Protecting the socioeconomic rights and interests of patients with rare diseases based on an innovative payment mechanism. Intractable & Rare Diseases Research. 13(4). 203–207.
8.
Song, Peipei, et al.. (2023). Effect of plasma thrombin-antithrombin complex on ischemic stroke: a systematic review and meta-analysis. Systematic Reviews. 12(1). 17–17. 7 indexed citations
9.
Ma, Yanan, et al.. (2023). Influence of intermittent fasting on autophagy in the liver. BioScience Trends. 17(5). 335–355. 18 indexed citations
10.
Song, Peipei, Qiling Peng, Yanxi Yu, et al.. (2023). Integrated proteogenomic characterization reveals an imbalanced hepatocellular carcinoma microenvironment after incomplete radiofrequency ablation. Journal of Experimental & Clinical Cancer Research. 42(1). 133–133. 18 indexed citations
11.
Hu, Xiqi, et al.. (2023). Neurosurgical perioperative management of frail elderly patients. BioScience Trends. 17(4). 271–282. 3 indexed citations
12.
Tang, Mi, Xueyan Zhang, Ziping Ye, et al.. (2023). The initiation, exploration, and development of hospital-based health technology assessment in China: 2005 ‒ 2022. BioScience Trends. 17(1). 1–13. 1 indexed citations
13.
Deng, Yi, et al.. (2023). Alzheimer's disease with frailty: Prevalence, screening, assessment, intervention strategies and challenges. BioScience Trends. 17(4). 283–292. 19 indexed citations
14.
Li, Ming, Peipei Song, Wei Tang, et al.. (2022). Unraveling the Emerging Niche Role of Hepatic Stellate Cell-derived Exosomes in Liver Diseases. Journal of Clinical and Translational Hepatology. 0(0). 0–0. 8 indexed citations
15.
Li, Wei, et al.. (2021). BOP1 Used as a Novel Prognostic Marker and Correlated with Tumor Microenvironment in Pan-Cancer. Journal of Oncology. 2021. 1–20. 6 indexed citations
16.
Gao, Lina, et al.. (2020). Sex Difference of Ribosome in Stroke‐Induced Peripheral Immunosuppression by Integrated Bioinformatics Analysis. BioMed Research International. 2020(1). 3650935–3650935. 11 indexed citations
17.
Wang, Haiyin, Peipei Song, Yuanyuan Gu, Liz Schroeder, & Chunlin Jin. (2020). Rapid health systems change: online medical consultations to fight COVID-19. Annals of Translational Medicine. 8(11). 726–726. 3 indexed citations
18.
Song, Peipei, Qi Tang, Xiaobin Feng, & Wei Tang. (2016). Biomarkers: evaluation of clinical utility in surveillance and early diagnosis for hepatocellular carcinoma. Scandinavian Journal of Clinical and Laboratory Investigation. 76(sup245). S70–S76. 28 indexed citations
19.
Song, Peipei, Yoshinori Inagaki, Yasuhiko Sugawara, & Norihiro Kokudo. (2013). Perspectives on human clinical trials of therapies using iPS cells in Japan: Reaching the forefront of stem-cell therapies. BioScience Trends. 7(3). 157–8. 14 indexed citations
20.
Luo, Min, Yaguang Weng, Jian Tang, et al.. (2012). MicroRNA-450a-3p Represses Cell Proliferation and Regulates Embryo Development by Regulating Bub1 Expression in Mouse. PLoS ONE. 7(10). e47914–e47914. 19 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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