Xinghua Lu

5.3k total citations
151 papers, 2.4k citations indexed

About

Xinghua Lu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xinghua Lu has authored 151 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 25 papers in Oncology and 22 papers in Cancer Research. Recurrent topics in Xinghua Lu's work include Bioinformatics and Genomic Networks (34 papers), Gene expression and cancer classification (24 papers) and Pancreatic and Hepatic Oncology Research (15 papers). Xinghua Lu is often cited by papers focused on Bioinformatics and Genomic Networks (34 papers), Gene expression and cancer classification (24 papers) and Pancreatic and Hepatic Oncology Research (15 papers). Xinghua Lu collaborates with scholars based in United States, China and Taiwan. Xinghua Lu's co-authors include Lujia Chen, Qiao Jin, Bhuwan Dhingra, William Cohen, Zheng­ping Liu, Chunhui Cai, Bin Zheng, Vicky Chen, Gregory F. Cooper and Songjian Lu and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xinghua Lu

144 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinghua Lu United States 28 1.3k 423 383 350 205 151 2.4k
Veerabhadran Baladandayuthapani United States 28 1.4k 1.1× 282 0.7× 532 1.4× 290 0.8× 113 0.6× 131 2.8k
Chao Sima United States 21 907 0.7× 286 0.7× 441 1.2× 414 1.2× 85 0.4× 53 1.9k
John V. Pearson Australia 24 1.8k 1.4× 566 1.3× 566 1.5× 659 1.9× 125 0.6× 59 3.7k
Hyunju Lee South Korea 31 1.5k 1.2× 355 0.8× 487 1.3× 302 0.9× 118 0.6× 214 3.4k
Jianhua Xuan United States 22 1.4k 1.1× 219 0.5× 191 0.5× 303 0.9× 83 0.4× 126 2.2k
Wilson Wen Bin Goh Singapore 23 1.2k 1.0× 181 0.4× 183 0.5× 172 0.5× 120 0.6× 102 2.2k
Yuping Chen China 24 911 0.7× 162 0.4× 426 1.1× 289 0.8× 209 1.0× 117 2.3k
Xia Jiang United States 26 2.3k 1.8× 253 0.6× 434 1.1× 660 1.9× 119 0.6× 91 3.1k
Mickaël Guedj France 23 2.2k 1.7× 264 0.6× 342 0.9× 413 1.2× 63 0.3× 54 4.0k
Omar D. Perez United States 22 2.2k 1.7× 321 0.8× 502 1.3× 255 0.7× 112 0.5× 28 3.7k

Countries citing papers authored by Xinghua Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xinghua Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghua Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinghua Lu. A scholar is included among the top collaborators of Xinghua 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 Xinghua Lu. Xinghua 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.
Lu, Xinghua, et al.. (2024). Using large language model (LLM) to identify high-burden informal caregivers in long-term care. Computer Methods and Programs in Biomedicine. 255. 108329–108329. 2 indexed citations
2.
Liu, Jie, et al.. (2024). Aspect Sentiment Classification via Local Context-Focused Syntax Based on DeBERTa. 30. 297–302. 1 indexed citations
3.
Gao, Chenxi, Shih–Fan Kuan, Chunhui Cai, et al.. (2024). FAK loss reduces BRAFV600E-induced ERK phosphorylation to promote intestinal stemness and cecal tumor formation. eLife. 13. 1 indexed citations
4.
Guan, Yuge, Yan V. Sun, Xinrui Zheng, et al.. (2024). Tea Polyphenols Inhibit the Occurrence of Enzymatic Browning in Fresh-Cut Potatoes by Regulating Phenylpropanoid and ROS Metabolism. Plants. 13(1). 125–125. 12 indexed citations
5.
Fu, Ziyi, Siqi Chen, Yueming Zhu, et al.. (2023). Proteolytic regulation of CD73 by TRIM21 orchestrates tumor immunogenicity. Science Advances. 9(1). eadd6626–eadd6626. 18 indexed citations
6.
Tao, Yifeng, et al.. (2022). Interpretable deep learning for chromatin-informed inference of transcriptional programs driven by somatic alterations across cancers. Nucleic Acids Research. 50(19). 10869–10881. 5 indexed citations
7.
Chen, Xueer, Lujia Chen, Cornelius Kürten, et al.. (2022). An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS Computational Biology. 18(12). e1010761–e1010761. 3 indexed citations
8.
Leibowitz, Brian J., Lin Shen, Lujia Chen, et al.. (2022). Targeting Myc-driven stress vulnerability in mutant KRAS colorectal cancer. Molecular Biomedicine. 3(1). 10–10. 6 indexed citations
9.
Song, Xinxin, Zhuan Zhou, Hongchun Li, et al.. (2020). Pharmacologic Suppression of B7-H4 Glycosylation Restores Antitumor Immunity in Immune-Cold Breast Cancers. Cancer Discovery. 10(12). 1872–1893. 101 indexed citations
10.
Tao, Yifeng, et al.. (2020). Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention. 660–684. 1 indexed citations
11.
Cai, Chunhui, Gregory F. Cooper, Xiaojun Ma, et al.. (2019). Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. PLoS Computational Biology. 15(7). e1007088–e1007088. 17 indexed citations
12.
Xue, Yifan, Gregory F. Cooper, Chunhui Cai, et al.. (2019). Tumour-specific Causal Inference Discovers Distinct Disease Mechanisms Underlying Cancer Subtypes. Scientific Reports. 9(1). 13225–13225. 2 indexed citations
13.
Ding, Michael Q., et al.. (2017). Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics. Molecular Cancer Research. 16(2). 269–278. 112 indexed citations
14.
Chen, Vicky, et al.. (2017). A signal-based method for finding driver modules of breast cancer metastasis to the lung. Scientific Reports. 7(1). 10023–10023. 6 indexed citations
15.
Lu, Songjian, Chunhui Cai, Gonghong Yan, et al.. (2016). Signal-Oriented Pathway Analyses Reveal a Signaling Complex as a Synthetic Lethal Target for p53 Mutations. Cancer Research. 76(23). 6785–6794. 3 indexed citations
16.
Huang, Tianzhi, Angel A. Alvarez, Rajendra P. Pangeni, et al.. (2016). A regulatory circuit of miR-125b/miR-20b and Wnt signalling controls glioblastoma phenotypes through FZD6-modulated pathways. Nature Communications. 7(1). 12885–12885. 75 indexed citations
17.
Zhang, Manli, Dan Liu, Ruxing Wang, et al.. (2016). Constituents from Chloranthaceae plants and their biological activities. Heterocyclic Communications. 22(4). 175–220. 32 indexed citations
18.
Guo, Tao, Xinghua Lu, Weixun Zhou, et al.. (2011). Magnifying endoscopy with narrow-band imaging for early gastric cancer diagnosis. Zhonghua xiaohua neijing zazhi. 28(7). 375–379. 1 indexed citations
19.
Lu, Xinghua. (2006). Establishment of risk model for pancreatic cancer in Chinese Han population. World Journal of Gastroenterology. 12(14). 2229–2229. 25 indexed citations
20.
Lu, Xinghua. (2005). Establishment of a risk model based on study of risk factors for pancreatic cancer. Zhonghua xiaohua zazhi. 1 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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