Youyong Lu

25.5k total citations
122 papers, 4.4k citations indexed

About

Youyong Lu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Youyong Lu has authored 122 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 44 papers in Cancer Research and 40 papers in Oncology. Recurrent topics in Youyong Lu's work include RNA modifications and cancer (17 papers), Cancer-related Molecular Pathways (15 papers) and Cancer-related molecular mechanisms research (14 papers). Youyong Lu is often cited by papers focused on RNA modifications and cancer (17 papers), Cancer-related Molecular Pathways (15 papers) and Cancer-related molecular mechanisms research (14 papers). Youyong Lu collaborates with scholars based in China, United States and Ethiopia. Youyong Lu's co-authors include Rui Xing, Jiantao Cui, Wenmei Li, Quan Chen, Lei Du, Yuanming Pan, Xiaohui Wang, Haijing Jin, Leya He and Maryam Mehrpour and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Youyong Lu

122 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youyong Lu China 35 2.8k 1.5k 1.4k 443 432 122 4.4k
Giovanna Chiorino Italy 37 3.0k 1.1× 1.3k 0.8× 1.3k 1.0× 532 1.2× 469 1.1× 113 4.8k
Oliver Stoeltzing United States 43 3.0k 1.1× 1.4k 0.9× 1.6k 1.1× 538 1.2× 402 0.9× 73 4.6k
Sophie Vacher France 39 2.6k 0.9× 1.5k 1.0× 1.5k 1.1× 587 1.3× 384 0.9× 142 4.5k
Youngkyu Park South Korea 35 2.9k 1.0× 1.0k 0.7× 1.4k 1.0× 402 0.9× 405 0.9× 88 5.0k
Atul Bedi United States 23 3.2k 1.1× 2.0k 1.3× 1.6k 1.2× 418 0.9× 225 0.5× 29 4.8k
Lu‐Zhe Sun United States 40 2.9k 1.0× 892 0.6× 1.7k 1.3× 487 1.1× 216 0.5× 125 4.5k
Gong Yang China 45 2.8k 1.0× 1.5k 1.0× 1.4k 1.1× 461 1.0× 217 0.5× 108 5.0k
Jiong Deng China 30 3.3k 1.2× 1.2k 0.8× 2.0k 1.4× 469 1.1× 243 0.6× 61 4.8k
Dung‐Fang Lee United States 36 4.9k 1.7× 1.4k 0.9× 1.6k 1.1× 391 0.9× 352 0.8× 87 6.3k
Bram De Craene Belgium 17 2.5k 0.9× 1.1k 0.7× 1.7k 1.2× 485 1.1× 243 0.6× 28 3.8k

Countries citing papers authored by Youyong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Youyong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youyong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Youyong Lu. A scholar is included among the top collaborators of Youyong Lu 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 Youyong Lu. Youyong Lu 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.
Zhang, Baifeng, Weiqing Wan, Zhixian Gao, et al.. (2022). A prognostic risk model for glioma patients by systematic evaluation of genomic variations. iScience. 25(12). 105681–105681. 3 indexed citations
2.
Lu, Tianyu, et al.. (2022). Effect of Hydrogen Inhalation Therapy on Hearing Loss of Patients With Nasopharyngeal Carcinoma After Radiotherapy. Frontiers in Medicine. 9. 828370–828370. 9 indexed citations
3.
Yang, Jiaan, et al.. (2021). Exposing structural variations in SARS-CoV-2 evolution. Scientific Reports. 11(1). 22042–22042. 5 indexed citations
4.
Gao, Meng, Juan An, Xin Wang, et al.. (2020). <p>Dysregulation of MiR-30a-3p/Gastrin Enhances Tumor Growth and Invasion throughSTAT3/MMP11 Pathway in Gastric Cancer</p>. OncoTargets and Therapy. Volume 13. 8475–8493. 10 indexed citations
5.
Li, He, Huiyu Xu, Rui Xing, et al.. (2019). Pyruvate kinase M2 contributes to cell growth in gastric cancer via aerobic glycolysis. Pathology - Research and Practice. 215(6). 152409–152409. 20 indexed citations
6.
Liang, Qiaoyi, Xiaotian Yao, Senwei Tang, et al.. (2014). Integrative Identification of Epstein–Barr Virus–Associated Mutations and Epigenetic Alterations in Gastric Cancer. Gastroenterology. 147(6). 1350–1362.e4. 98 indexed citations
7.
Du, Lei, Guanhua Rao, Hongyi Wang, et al.. (2013). CD44-Positive Cancer Stem Cells Expressing Cellular Prion Protein Contribute to Metastatic Capacity in Colorectal Cancer. Cancer Research. 73(8). 2682–2694. 88 indexed citations
8.
Xu, Huiyu, Yuanming Pan, Zhiwei Chen, et al.. (2013). 12-Deoxyphorbol 13-palmitate inhibit VEGF-induced angiogenesis via suppression of VEGFR-2-signaling pathway. Journal of Ethnopharmacology. 146(3). 724–733. 22 indexed citations
9.
Rao, Guanhua, Hongyi Wang, Baowei Li, et al.. (2012). Reciprocal Interactions between Tumor-Associated Macrophages and CD44-Positive Cancer Cells via Osteopontin/CD44 Promote Tumorigenicity in Colorectal Cancer. Clinical Cancer Research. 19(4). 785–797. 118 indexed citations
10.
Xing, Rui, Wenmei Li, Jiantao Cui, et al.. (2011). Gastrokine 1 induces senescence through p16/Rb pathway activation in gastric cancer cells. Gut. 61(1). 43–52. 53 indexed citations
11.
Gu, Jin, Zhiguo Chen, Wei Zhao, et al.. (2011). Let‐7c functions as a metastasis suppressor by targeting MMP11 and PBX3 in colorectal cancer. The Journal of Pathology. 226(3). 544–555. 130 indexed citations
12.
Deng, Hua, Wen-Mei Li, Qingyun Zhang, et al.. (2008). Identification of Matrix Metalloproteinase 11 as a Predictive Tumor Marker in Serum Based on Gene Expression Profiling. Clinical Cancer Research. 14(1). 74–81. 27 indexed citations
13.
Pan, Kai‐Feng, et al.. (2008). Mutations in components of the Wnt signaling pathway in gastric cancer. World Journal of Gastroenterology. 14(10). 1570–1570. 34 indexed citations
14.
15.
Li, Na, Ruifang Guo, Wenmei Li, et al.. (2005). A proteomic investigation into a human gastric cancer cell line BGC823 treated with diallyl trisulfide. Carcinogenesis. 27(6). 1222–1231. 42 indexed citations
16.
Deng, Hua, Ruifang Guo, Wen-Mei Li, Min Zhao, & Youyong Lu. (2004). Matrix metalloproteinase 11 depletion inhibits cell proliferation in gastric cancer cells. Biochemical and Biophysical Research Communications. 326(2). 274–281. 53 indexed citations
17.
Zhu, Chen, et al.. (2003). [Mutations of fragile histidine triad gene in Peutz-Jeghers syndrome and canceration].. PubMed. 22(1). 50–4. 4 indexed citations
18.
Zhang, Shanwen, Shaowen Xiao, & Youyong Lu. (2003). Adenovirus-mediated p53 gene transfer increases the thermosensitivity of human gastric carcinoma cell lines (in vitro andin vivo). Chinese Journal of Cancer Research. 15(2). 107–111. 3 indexed citations
19.
20.
Li, Yong, Lin Yang, Jiantao Cui, et al.. (2002). Construction of cDNA representational difference analysis based on two cDNA libraries and identification of garlic inducible expression genes in human gastric cancer cells. World Journal of Gastroenterology. 8(2). 208–208. 6 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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