Long Yu

13.4k total citations · 1 hit paper
369 papers, 9.6k citations indexed

About

Long Yu is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Long Yu has authored 369 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 236 papers in Molecular Biology, 114 papers in Oncology and 67 papers in Cell Biology. Recurrent topics in Long Yu's work include Cancer-related Molecular Pathways (45 papers), Ubiquitin and proteasome pathways (43 papers) and Microtubule and mitosis dynamics (33 papers). Long Yu is often cited by papers focused on Cancer-related Molecular Pathways (45 papers), Ubiquitin and proteasome pathways (43 papers) and Microtubule and mitosis dynamics (33 papers). Long Yu collaborates with scholars based in China, United States and United Kingdom. Long Yu's co-authors include Peter N. Devreotes, Bo Wan, Yihong Yao, Zhan Xiao, Chenji Wang, Lihuan Cao, Xianmei Yang, Pingzhao Zhang, Hexige Saiyin and Jiaxue Wu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Long Yu

358 papers receiving 9.5k citations

Hit Papers

Tumor-derived lactate promotes resistance to bevacizumab ... 2023 2026 2024 2025 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Yu China 49 5.9k 1.8k 1.8k 1.7k 995 369 9.6k
Tamar Geiger Israel 43 8.9k 1.5× 1.4k 0.8× 1.4k 0.8× 1.6k 0.9× 767 0.8× 100 12.8k
Gilles Pagès France 58 7.2k 1.2× 2.2k 1.2× 2.1k 1.2× 1.1k 0.6× 689 0.7× 173 11.3k
Jing Li China 42 9.9k 1.7× 2.3k 1.2× 2.0k 1.1× 1.2k 0.7× 647 0.7× 404 13.2k
Li Li China 57 8.9k 1.5× 1.9k 1.1× 2.8k 1.6× 1.2k 0.7× 1.1k 1.1× 493 13.6k
Bob van de Water Netherlands 48 4.7k 0.8× 1.5k 0.8× 1.3k 0.7× 1.4k 0.8× 515 0.5× 224 8.2k
Stefka Tyanova Germany 17 7.7k 1.3× 1.0k 0.6× 888 0.5× 1.5k 0.9× 834 0.8× 25 11.8k
Ola Larsson Sweden 50 6.7k 1.1× 1.3k 0.7× 1.4k 0.8× 898 0.5× 1.3k 1.3× 136 10.2k
David A. Lomas United Kingdom 44 4.3k 0.7× 1.6k 0.9× 3.6k 2.0× 2.0k 1.2× 552 0.6× 135 8.8k
Makoto Nakanishi Japan 49 6.4k 1.1× 2.7k 1.5× 1.6k 0.9× 1.3k 0.7× 652 0.7× 195 9.1k
Wei‐Xing Zong United States 43 8.4k 1.4× 2.1k 1.1× 2.2k 1.2× 1.3k 0.8× 2.1k 2.1× 79 12.0k

Countries citing papers authored by Long Yu

Since Specialization
Citations

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

Fields of papers citing papers by Long Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Long Yu. A scholar is included among the top collaborators of Long Yu 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 Long Yu. Long Yu 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
2.
Shao, Miaomiao, Lanxin Wang, Qingyu Zhang, et al.. (2024). E3 ubiquitin ligase CHIP interacts with transferrin receptor 1 for degradation and promotes cell proliferation through inhibiting ferroptosis in hepatocellular carcinoma. Cellular Signalling. 118. 111148–111148. 9 indexed citations
4.
Wang, Ling, et al.. (2024). Analysis of quality evaluation and optimal harvest period of Aurantii Fructus from different sources using UHPLC‐Q‐TOF‐MS/MS. Phytochemical Analysis. 35(5). 1221–1248. 2 indexed citations
5.
Wang, Xiangkun, Kai Luo, Long Yu, et al.. (2023). Comprehensive analysis of candidate signatures of long non-coding RNA LINC01116 and related protein-coding genes in patients with hepatocellular carcinoma. BMC Gastroenterology. 23(1). 216–216. 3 indexed citations
6.
Wu, Ziyi, Ting Zhou, Dawei Yang, et al.. (2023). Autoantibody repertoire profiling in tissue and blood identifies colorectal cancer‐specific biomarkers. Cancer Science. 115(1). 83–93. 1 indexed citations
7.
Sun, Lixin, Long Yu, Jun Liu, et al.. (2023). HSP90, as a functional target antigen of a mAb 11C9, promotes stemness and tumor progression in hepatocellular carcinoma. Stem Cell Research & Therapy. 14(1). 273–273. 8 indexed citations
8.
Yu, Long, Yuting Li, Kuo Zhang, et al.. (2023). Binding-induced fibrillogenesis peptide inhibits RANKL-mediated osteoclast activation against osteoporosis. Biomaterials. 302. 122331–122331. 14 indexed citations
10.
Yu, Long, Fuqiang Shao, Hao Ji, et al.. (2022). Visualizing γδ T cells by very late antigen-4-targeted positron emission tomography. European Journal of Nuclear Medicine and Molecular Imaging. 49(12). 4156–4170. 2 indexed citations
11.
Yu, Long, Hao Ji, Qingyao Liu, et al.. (2022). Development and Evaluation of a Peptide Heterodimeric Tracer Targeting CXCR4 and Integrin αvβ3 for Pancreatic Cancer Imaging. Pharmaceutics. 14(9). 1791–1791. 14 indexed citations
12.
Cai, Huaqing, et al.. (2020). Statin-induced GGPP depletion blocks macropinocytosis and starves cells with oncogenic defects. Proceedings of the National Academy of Sciences. 117(8). 4158–4168. 40 indexed citations
13.
Wang, Guangzhi, Jia Shen, Jiahang Sun, et al.. (2017). Cyclophilin A Maintains Glioma-Initiating Cell Stemness by Regulating Wnt/β-Catenin Signaling. Clinical Cancer Research. 23(21). 6640–6649. 45 indexed citations
14.
Cai, Huaqing, Mariko Katoh‐Kurasawa, Tetsuya Muramoto, et al.. (2014). Nucleocytoplasmic Shuttling of a GATA Transcription Factor Functions as a Development Timer. Science. 343(6177). 1249531–1249531. 61 indexed citations
15.
Zhu, Zhansheng, Xueren Gao, Yan He, et al.. (2012). An Insertion/Deletion Polymorphism within RERT-lncRNA Modulates Hepatocellular Carcinoma Risk. Cancer Research. 72(23). 6163–6172. 83 indexed citations
16.
Hu, Hai, Lichao Sun, Chunguang Guo, et al.. (2009). Tumor Cell-Microenvironment Interaction Models Coupled with Clinical Validation Reveal CCL2 and SNCG as Two Predictors of Colorectal Cancer Hepatic Metastasis. Clinical Cancer Research. 15(17). 5485–5493. 71 indexed citations
17.
Ran, Yuliang, Hai Hu, Zhuan Zhou, et al.. (2008). Derlin-1 Is Overexpressed on the Tumor Cell Surface and Enables Antibody-Mediated Tumor Targeting Therapy. Clinical Cancer Research. 14(20). 6538–6545. 22 indexed citations
18.
Wu, Yanhua, Jie Zuo, Hexige Saiyin, et al.. (2008). Proapoptotic Function of Integrin β3 in Human Hepatocellular Carcinoma Cells. Clinical Cancer Research. 15(1). 60–69. 33 indexed citations
19.
Chen, Yuhong, Deke Jiang, Bo Wan, Long Yu, & Xinghuai Sun. (2006). Presymptomatic genetic diagnosis for consulters from a large Chinese family with juvenile open angle glaucoma.. PubMed. 12. 360–6. 9 indexed citations
20.
Zhong, Xing, Hai Hu, Long Yu, et al.. (2006). Overexpressed Derlin-1 Inhibits ER Expansion in the Endothelial Cells Derived from Human Hepatic Cavernous Hemangioma. BMB Reports. 39(6). 677–685. 9 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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