Lei Hong

1.7k total citations
48 papers, 1.1k citations indexed

About

Lei Hong is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lei Hong has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Lei Hong's work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (5 papers). Lei Hong is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (5 papers). Lei Hong collaborates with scholars based in China, United States and Russia. Lei Hong's co-authors include Lili Sun, Xiaolong Du, Wendong Li, Lei Yang, Ye Yuan, Gege Yan, Weijie Du, Hua Feng, Guanyang Song and Mingyu He and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Lei Hong

47 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Hong China 19 680 356 125 105 97 48 1.1k
Xiaohan Yao China 17 499 0.7× 213 0.6× 128 1.0× 140 1.3× 66 0.7× 40 936
Min Cheng China 19 673 1.0× 423 1.2× 79 0.6× 60 0.6× 73 0.8× 57 1.1k
Yaguang Weng China 25 924 1.4× 549 1.5× 276 2.2× 58 0.6× 77 0.8× 53 1.4k
Jianwen Cheng China 21 674 1.0× 279 0.8× 409 3.3× 47 0.4× 159 1.6× 53 1.2k
Majid Farshdousti Hagh Iran 20 733 1.1× 251 0.7× 176 1.4× 43 0.4× 71 0.7× 57 1.1k
Siru Zhou China 18 616 0.9× 237 0.7× 110 0.9× 30 0.3× 94 1.0× 42 1.1k
Lianfang Huang China 12 333 0.5× 190 0.5× 256 2.0× 101 1.0× 75 0.8× 20 811
Hsiao‐Chi Tsai Taiwan 19 564 0.8× 246 0.7× 275 2.2× 46 0.4× 58 0.6× 31 1.0k

Countries citing papers authored by Lei Hong

Since Specialization
Citations

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

Fields of papers citing papers by Lei Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Hong. A scholar is included among the top collaborators of Lei Hong 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 Lei Hong. Lei Hong 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.
Hong, Lei, et al.. (2024). Silencing of METTL3 inhibits m6A methylation of NEK7 to suppress pyrolysis in an HT-22 cell-based model of intracerebral hemorrhage. Brain Research. 1831. 148828–148828. 4 indexed citations
2.
Peng, Dandan, Cai He, Zimin Chen, et al.. (2024). XBB.1.16‐RBD‐based trimeric protein vaccine can effectively inhibit XBB.1.16‐included XBB subvariant infection. SHILAP Revista de lepidopterología. 5(9). e687–e687. 4 indexed citations
3.
Hong, Lei, Aqu Alu, H. J. Yang, et al.. (2023). Cationic crosslinked carbon dots-adjuvanted intranasal vaccine induces protective immunity against Omicron-included SARS-CoV-2 variants. Nature Communications. 14(1). 2678–2678. 30 indexed citations
4.
Xu, Yu, Ke Ma, Fan Zhang, et al.. (2023). Association between baseline C‑reactive protein level and survival outcomes for cancer patients treated with immunotherapy: A meta‑analysis. Experimental and Therapeutic Medicine. 26(2). 7 indexed citations
5.
Hong, Lei, et al.. (2023). SCN4B inhibits the progression of lung adenocarcinoma and is associated with better prognosis. The Clinical Respiratory Journal. 17(12). 1233–1245. 2 indexed citations
6.
Hong, Lei, et al.. (2022). Colorectal leiomyosarcoma with BRCA2 mutation benefit from treatment with olaparib: a case report. Journal of Gastrointestinal Oncology. 13(3). 1499–1504. 3 indexed citations
7.
Wang, Junyan, et al.. (2021). CircRNA_0000429 Regulates Development of NSCLC by Acting as a Sponge of miR-1197 to Control MADD. Cancer Management and Research. Volume 13. 861–870. 13 indexed citations
8.
Yuan, Ye, Gege Yan, Mingyu He, et al.. (2021). ALKBH5 suppresses tumor progression via an m6A-dependent epigenetic silencing of pre-miR-181b-1/YAP signaling axis in osteosarcoma. Cell Death and Disease. 12(1). 60–60. 89 indexed citations
9.
Hong, Lei, et al.. (2020). Semaphorin 7A promotes endothelial to mesenchymal transition through ATF3 mediated TGF-β2/Smad signaling. Cell Death and Disease. 11(8). 695–695. 34 indexed citations
10.
Du, Xiaolong, Nan Hu, Lei Hong, et al.. (2020). miR-150 regulates endothelial progenitor cell differentiation via Akt and promotes thrombus resolution. Stem Cell Research & Therapy. 11(1). 354–354. 15 indexed citations
11.
Yan, Gege, Ye Yuan, Mingyu He, et al.. (2019). m6A Methylation of Precursor-miR-320/RUNX2 Controls Osteogenic Potential of Bone Marrow-Derived Mesenchymal Stem Cells. Molecular Therapy — Nucleic Acids. 19. 421–436. 126 indexed citations
12.
Hong, Lei, et al.. (2019). Activation of Dusp14 protects against osteoclast generation and bone loss by regulating AMPKα-dependent manner. Biochemical and Biophysical Research Communications. 519(3). 445–452. 4 indexed citations
13.
Li, Wěi, Gengyan Zhang, Xiaojun Li, et al.. (2018). Thyroid hormone receptor interactor 13 (TRIP13) overexpression associated with tumor progression and poor prognosis in lung adenocarcinoma. Biochemical and Biophysical Research Communications. 499(3). 416–424. 34 indexed citations
14.
Qian, Zhiyuan, Yuping Li, Jiawei Ma, et al.. (2018). Prognostic value of NUSAP1 in progression and expansion of glioblastoma multiforme. Journal of Neuro-Oncology. 140(2). 199–208. 21 indexed citations
15.
16.
Wu, Yanxia, Zhihua Shen, Keke Wang, et al.. (2017). High FMNL3 expression promotes nasopharyngeal carcinoma cell metastasis: role in TGF-β1-induced epithelia-to-mesenchymal transition. Scientific Reports. 7(1). 42507–42507. 31 indexed citations
17.
Song, Guanyang, Lei Hong, Hui Zhang, et al.. (2015). Iatrogenic medial patellar instability following lateral retinacular release of the knee joint. Knee Surgery Sports Traumatology Arthroscopy. 24(9). 2825–2830. 23 indexed citations
18.
Wang, Li, et al.. (2012). A Model of Isolated, Vascular Whole Thymus Transplantation in Nude Rats. Transplantation Proceedings. 44(5). 1394–1398. 3 indexed citations
19.
Li, Qi, Lei Hong, Aijun Liu, et al.. (2011). The antishock effect of anisodamine requires the upregulation of α7 nicotine acetylcholine receptors by IL-10. Life Sciences. 89(11-12). 395–401. 12 indexed citations
20.
Yu, Yizhi, Xuetao Cao, Lei Hong, Quanxing Wang, & Qun Tao. (1998). The therapeutic effect of intratumoral injection of GM-CSF gene-modified allogenic macrophages on tumor-bearing mice. Chinese Journal of Cancer Research. 10(1). 1–5. 4 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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