Sheng Lu

1.1k total citations · 1 hit paper
26 papers, 665 citations indexed

About

Sheng Lu is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Sheng Lu has authored 26 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Immunology. Recurrent topics in Sheng Lu's work include Genetic and phenotypic traits in livestock (4 papers), Genetic diversity and population structure (4 papers) and Aquaculture disease management and microbiota (3 papers). Sheng Lu is often cited by papers focused on Genetic and phenotypic traits in livestock (4 papers), Genetic diversity and population structure (4 papers) and Aquaculture disease management and microbiota (3 papers). Sheng Lu collaborates with scholars based in China, United States and Philippines. Sheng Lu's co-authors include Haojie Zhang, Xiuhong Zhang, Qian Gao, Mingqing Wu, Qiuchan Xiong, Yu Liang, Yingyin Zhang, Fengyu Zhu, Maosheng Cheng and Quan Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and PLoS ONE.

In The Last Decade

Sheng Lu

24 papers receiving 662 citations

Hit Papers

The m6A methyltransferase METTL3 promotes bladder cancer ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Lu China 12 442 242 99 93 75 26 665
Wujiao Li China 14 245 0.6× 127 0.5× 103 1.0× 52 0.6× 207 2.8× 30 612
Yong Zeng China 13 532 1.2× 420 1.7× 21 0.2× 96 1.0× 79 1.1× 24 845
Junji Itou Japan 15 619 1.4× 100 0.4× 176 1.8× 51 0.5× 96 1.3× 28 789
Arica Beisaw Germany 10 1.1k 2.4× 716 3.0× 68 0.7× 36 0.4× 22 0.3× 15 1.3k
Xinglong Geng China 9 142 0.3× 90 0.4× 79 0.8× 71 0.8× 132 1.8× 11 376
Yinan Du China 14 711 1.6× 201 0.8× 287 2.9× 105 1.1× 196 2.6× 34 935
Ivayla Ivanova United Kingdom 9 617 1.4× 218 0.9× 41 0.4× 31 0.3× 40 0.5× 13 688
Roman Spektor United States 9 352 0.8× 143 0.6× 97 1.0× 89 1.0× 30 0.4× 9 580
Catherine Voegele France 14 298 0.7× 188 0.8× 170 1.7× 36 0.4× 130 1.7× 21 604
Ron Baik United States 9 497 1.1× 55 0.2× 85 0.9× 21 0.2× 73 1.0× 12 597

Countries citing papers authored by Sheng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Lu. A scholar is included among the top collaborators of Sheng 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 Sheng Lu. Sheng 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.
Qu, Xiaosheng, et al.. (2024). Targeting PD-1/PD-L1 in tumor immunotherapy: Mechanisms and interactions with host growth regulatory pathways. Cytokine & Growth Factor Reviews. 79. 16–28. 22 indexed citations
2.
Sha, Jun, Jie Shao, Sheng Lu, et al.. (2024). A case report of severe pneumonia caused by Aeromonas dhakensis infection complicated with severe atrial septal defect. Frontiers in Medicine. 11. 1476864–1476864.
3.
Xu, Yinfeng, Qian Wang, Jun Wang, et al.. (2024). The cGAS-STING pathway activates transcription factor TFEB to stimulate lysosome biogenesis and pathogen clearance. Immunity. 58(2). 309–325.e6. 23 indexed citations
4.
Chen, Songlin, Wenteng Xu, Sheng Lu, et al.. (2023). Development Strategy for Aquatic Breeding Biotechnology. SHILAP Revista de lepidopterología. 25(4). 214–214. 3 indexed citations
5.
Qu, Shiyu, Sheng Lu, Yang Liu, Ming Li, & Songlin Chen. (2023). Accurate genomic selection using low-density SNP panels preselected by maximum likelihood estimation. Aquaculture. 579. 740154–740154. 4 indexed citations
6.
Wang, Jie, Zhangfan Chen, Wenteng Xu, et al.. (2022). Transcriptomic analysis reveals the gene expression profiles in the spleen of spotted knifejaw (Oplegnathus punctatus) infected by Vibrio harveyi. Developmental & Comparative Immunology. 133. 104432–104432. 6 indexed citations
7.
Sun, Kening, et al.. (2022). A seven-gene prognosis model to predict biochemical recurrence for prostate cancer based on the TCGA database. Frontiers in Surgery. 9. 923473–923473. 9 indexed citations
9.
Wu, Jian, Dingding Wang, Sheng Lu, et al.. (2021). Human umbilical cord Wharton's jelly-derived mesenchymal stem cell transplantation could improve diabetic intracavernosal pressure. Asian Journal of Andrology. 24(2). 171–175. 6 indexed citations
10.
Liu, Weibin, Zeyu Wang, Jiayu Chen, et al.. (2021). C3AR1 mRNA as a Potential Therapeutic Target Associates With Clinical Outcomes and Tumor Microenvironment in Osteosarcoma. Frontiers in Medicine. 8. 642615–642615. 11 indexed citations
11.
12.
Lu, Sheng, Yang Liu, Yangzhen Li, et al.. (2020). Prediction of genomic breeding values based on pre-selected SNPs using ssGBLUP, WssGBLUP and BayesB for Edwardsiellosis resistance in Japanese flounder. Genetics Selection Evolution. 52(1). 49–49. 37 indexed citations
13.
Han, Shuai, Jian Fang, Sheng Lu, et al.. (2019). Response and acquired resistance to savolitinib in a patient with pulmonary sarcomatoid carcinoma harboring MET exon 14 skipping mutation: a case report. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Zhou, Qian, Zhencheng Su, Yangzhen Li, et al.. (2019). Genome-Wide Association Mapping and Gene Expression Analyses Reveal Genetic Mechanisms of Disease Resistance Variations in Cynoglossus semilaevis. Frontiers in Genetics. 10. 1167–1167. 23 indexed citations
15.
Cheng, Maosheng, Sheng Lu, Qian Gao, et al.. (2019). The m6A methyltransferase METTL3 promotes bladder cancer progression via AFF4/NF-κB/MYC signaling network. Oncogene. 38(19). 3667–3680. 308 indexed citations breakdown →
16.
Liu, Yang, Sheng Lu, Feng Liu, et al.. (2018). Genomic Selection Using BayesCπ and GBLUP for Resistance Against Edwardsiella tarda in Japanese Flounder (Paralichthys olivaceus). Marine Biotechnology. 20(5). 559–565. 37 indexed citations
17.
Guo, Hua, Min Wei, Yang Liu, et al.. (2017). Molecular cloning and expression analysis of the aqp1aa gene in half-smooth tongue sole (Cynoglossus semilaevis). PLoS ONE. 12(4). e0175033–e0175033. 12 indexed citations
18.
Zhu, Tongyu, Haojie Zhang, Tao Jing, et al.. (2016). Twist2 promotes kidney cancer cell proliferation and invasion by regulating ITGA6 and CD44 expression in the ECM-receptor interaction pathway. OncoTargets and Therapy. 9. 1801–1801. 55 indexed citations
19.
Zhu, Wenhui, Hua Xu, Jing Ma, et al.. (2016). An Open-Label Pilot Study of Metformin as a Concomitant Therapy on Patients with Prostate Cancer Undergoing Androgen Deprivation Treatment. Urologia Internationalis. 98(1). 79–84. 8 indexed citations
20.
Lu, Sheng, et al.. (1999). [Expression of BMP-2, TGF-beta, bFGF in guided bone regeneration].. PubMed. 37(7). 399–402. 2 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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