Libo Si

526 total citations
29 papers, 406 citations indexed

About

Libo Si is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Libo Si has authored 29 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Libo Si's work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers) and Peptidase Inhibition and Analysis (5 papers). Libo Si is often cited by papers focused on RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers) and Peptidase Inhibition and Analysis (5 papers). Libo Si collaborates with scholars based in China. Libo Si's co-authors include Shuhai Li, Cun Gao, Weiming Yue, Hui Tian, Ming Lü, Lei Qi, Hui Tian, Bin Hao, Lei Qi and Lin Li and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Libo Si

28 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Libo Si China 14 296 128 76 60 46 29 406
Hongqiang Sheng China 8 266 0.9× 146 1.1× 119 1.6× 41 0.7× 62 1.3× 14 450
Yong Luo China 13 250 0.8× 157 1.2× 82 1.1× 73 1.2× 42 0.9× 31 398
Aristeidis E. Boukouris Canada 8 331 1.1× 129 1.0× 99 1.3× 38 0.6× 30 0.7× 13 493
Jinyuan Pan China 10 247 0.8× 144 1.1× 100 1.3× 45 0.8× 24 0.5× 12 421
Huiping Guo China 10 320 1.1× 87 0.7× 118 1.6× 48 0.8× 21 0.5× 22 480
Z. Peter Wang China 14 390 1.3× 128 1.0× 121 1.6× 56 0.9× 36 0.8× 18 524
Junfang Lyu Macao 11 258 0.9× 107 0.8× 91 1.2× 48 0.8× 46 1.0× 14 384
Xuan Zhu China 15 339 1.1× 273 2.1× 91 1.2× 43 0.7× 30 0.7× 28 519
Xianjun Zhu China 7 255 0.9× 134 1.0× 85 1.1× 77 1.3× 31 0.7× 13 396

Countries citing papers authored by Libo Si

Since Specialization
Citations

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

Fields of papers citing papers by Libo Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Libo Si

This figure shows the co-authorship network connecting the top 25 collaborators of Libo Si. A scholar is included among the top collaborators of Libo Si 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 Libo Si. Libo Si 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.
Ma, Luyuan, et al.. (2025). GINS1 facilitates the development of lung adenocarcinoma via Wnt/β-catenin activation. World Journal of Surgical Oncology. 23(1). 122–122. 1 indexed citations
2.
Liang, Yuan, Qing Wang, Libo Si, et al.. (2024). Ginsenoside CK ameliorates tumor growth in lung cancer mice via inhibiting EGFR. Journal of Functional Foods. 121. 106446–106446. 3 indexed citations
3.
Fu, Jinqiu, Libo Si, Ruhong Zhou, Dong Li, & Ran Wang. (2023). Distinct N7-methylguanosine profiles of circular RNAs in drug-resistant acute myeloid leukemia. Scientific Reports. 13(1). 14704–14704. 5 indexed citations
4.
Yue, Weiming, Xiaohong Chen, Yongjie Wang, et al.. (2023). Circulating tumor DNA (ctDNA) methylation-based linkage regions to predict recurrence in early-stage lung cancer.. Journal of Clinical Oncology. 41(16_suppl). e20513–e20513.
5.
Li, Yongmeng, Yanfei Liu, Cun Gao, et al.. (2021). Negatively Regulated by miR-29c-3p, MTFR1 Promotes the Progression and Glycolysis in Lung Adenocarcinoma via the AMPK/mTOR Signalling Pathway. Frontiers in Cell and Developmental Biology. 9. 771824–771824. 14 indexed citations
6.
Yue, Weiming, Lin Li, Shuhai Li, et al.. (2021). Circular RNA hsa-circ-000881 suppresses the progression of lung adenocarcinoma in vitro via a miR-665/PRICKLE2 axis. Annals of Translational Medicine. 9(6). 498–498. 10 indexed citations
7.
Si, Libo, Hui Tian, Weiming Yue, et al.. (2017). Potential use of microRNA-200c as a prognostic marker in non-small cell lung cancer. Oncology Letters. 14(4). 4325–4330. 25 indexed citations
8.
Tian, Hui, Weiming Yue, Lin Li, et al.. (2016). Rotenone induces apoptosis in human lung cancer cells by regulating autophagic flux. IUBMB Life. 68(5). 388–393. 30 indexed citations
9.
Li, Lin, Hui Tian, Weiming Yue, et al.. (2016). Subxiphoid vs intercostal single-incision video-assisted thoracoscopic surgery for spontaneous pneumothorax: A randomised controlled trial. International Journal of Surgery. 30. 99–103. 16 indexed citations
10.
Yue, Weiming, Lin Li, Shuhai Li, et al.. (2015). Regulator of G-protein signaling 4: A novel tumor suppressor with prognostic significance in non-small cell lung cancer. Biochemical and Biophysical Research Communications. 469(3). 384–391. 21 indexed citations
11.
Li, Shuhai, Hui Tian, Weiming Yue, et al.. (2014). Clinical significance of miR-148a expression in patients with esophageal squamous cell cancer. 1(1). 48–52. 1 indexed citations
12.
Lü, Ming, Hui Tian, Weiming Yue, et al.. (2014). TFIIB-Related Factor 2 Over Expression Is a Prognosis Marker for Early-Stage Non-Small Cell Lung Cancer Correlated with Tumor Angiogenesis. PLoS ONE. 9(2). e88032–e88032. 23 indexed citations
13.
Tian, Hui, Weiming Yue, Lin Li, et al.. (2014). NCOA5 low expression correlates with survival in esophageal squamous cell carcinoma. Medical Oncology. 31(12). 376–376. 16 indexed citations
14.
15.
Tang, Han, Weiming Yue, Lin Li, et al.. (2014). Overexpression of LAPTM4B is correlated with tumor angiogenesis and poor prognosis in non-small cell lung cancer. Medical Oncology. 31(6). 974–974. 22 indexed citations
16.
Lü, Ming, Yu Tian, Weiming Yue, et al.. (2014). GOLPH3, a Good Prognostic Indicator in Early-stage NSCLC Related to Tumor Angiogenesis. Asian Pacific Journal of Cancer Prevention. 15(14). 5793–5798. 15 indexed citations
17.
Tian, Hui, Weiming Yue, Lin Li, et al.. (2014). SIRT1 expression is associated with lymphangiogenesis, lymphovascular invasion and prognosis in pN0 esophageal squamous cell carcinoma. Cell & Bioscience. 4(1). 48–48. 13 indexed citations
18.
Tang, Han, Hui Tian, Weiming Yue, et al.. (2014). LAPTM4B polymorphism is associated with non-small cell lung cancer susceptibility and prognosis. Oncology Reports. 31(5). 2454–2460. 10 indexed citations
19.
Lü, Ming, Hui Tian, Weiming Yue, et al.. (2013). Overexpression of TFIIB-related factor 2 is significantly correlated with tumor angiogenesis and poor survival in patients with esophageal squamous cell cancer. Medical Oncology. 30(2). 553–553. 25 indexed citations
20.
Tian, Hui, Lin Li, Shuhai Li, et al.. (2012). Diallyl trisulfide induces apoptosis and inhibits proliferation of A549 cells <italic>in vitro</italic> and <italic>in vivo</italic>. Acta Biochimica et Biophysica Sinica. 44(7). 577–583. 40 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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