Sumeng Gao

448 total citations
12 papers, 353 citations indexed

About

Sumeng Gao is a scholar working on Molecular Biology, Cancer Research and Nutrition and Dietetics. According to data from OpenAlex, Sumeng Gao has authored 12 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 2 papers in Nutrition and Dietetics. Recurrent topics in Sumeng Gao's work include RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Sumeng Gao is often cited by papers focused on RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Sumeng Gao collaborates with scholars based in China and United States. Sumeng Gao's co-authors include Xiaobei Deng, Biyun Qian, Ruoyang Wang, Herbert Yu, Ning Wang, Zihan Xu, Jian Lü, Yu Wang, Xiaofei Ye and Hua Li and has published in prestigious journals such as Gastroenterology, Biochemical and Biophysical Research Communications and Ecotoxicology and Environmental Safety.

In The Last Decade

Sumeng Gao

12 papers receiving 347 citations

Peers

Sumeng Gao

MB

CR

HTM

PRM

MC

Xianqing Cao China

Agnieszka Panek Poland

Tingyu Zong China

Hideki Senoh Japan

Shanji Fu China

Chang-Woo Song South Korea

Tiantian Lei China

Y. Kikuchi Japan

Hu Zhang China

Mohamed Alattar China

Xianqing Cao China

Sumeng Gao

286 ×1.6

MB

87 ×0.6

CR

90 ×1.3

HTM

96 ×1.4

PRM

40 ×1.3

MC

Citations per year, relative to Sumeng Gao Sumeng Gao (= 1×) peers Xianqing Cao

Countries citing papers authored by Sumeng Gao

Since Specialization

Citations

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

Fields of papers citing papers by Sumeng Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumeng Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Sumeng Gao. A scholar is included among the top collaborators of Sumeng Gao 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 Sumeng Gao. Sumeng Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Zhang, Fangfang, X. Z. You, Tengteng Zhu, et al.. (2020). Silica nanoparticles enhance germ cell apoptosis by inducing reactive oxygen species (ROS) formation in <i>Caenorhabditis elegans</i>. The Journal of Toxicological Sciences. 45(3). 117–129. 27 indexed citations

2.

Li, Lei, Tienan Feng, Weituo Zhang, et al.. (2020). MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung Cancer. International Journal of Genomics. 2020. 1–9. 24 indexed citations

3.

Wang, Ruoyang, Nannan Feng, Yu Wang, et al.. (2019). SNPs in LncRNA genes are associated with non‐small cell lung cancer in a Chinese population. Journal of Clinical Laboratory Analysis. 33(4). e22858–e22858. 11 indexed citations

4.

Yu, Xiao, Nannan Feng, Sumeng Gao, et al.. (2018). Knockdown of long non-coding RNA LCPAT1 inhibits autophagy in lung cancer. Cancer Biology and Medicine. 15(3). 228–228. 26 indexed citations

5.

Xu, Zihan, Zilin Li, Sumeng Gao, et al.. (2018). PM2.5 induced pulmonary fibrosis in vivo and in vitro. Ecotoxicology and Environmental Safety. 171. 112–121. 97 indexed citations

6.

Gao, Sumeng, Hongyan Lin, Yu Wang, et al.. (2018). LncRNA LCPAT1 is involved in DNA damage induced by CSE. Biochemical and Biophysical Research Communications. 508(2). 512–515. 20 indexed citations

7.

Zheng, Chang, Xuelian Li, Biyun Qian, et al.. (2018). The lncRNA myocardial infarction associated transcript-centric competing endogenous RNA network in non-small-cell lung cancer. Cancer Management and Research. Volume 10. 1155–1162. 14 indexed citations

8.

Lü, Jian, et al.. (2018). LY294002 inhibits the Warburg effect in gastric cancer cells by downregulating pyruvate kinase M2. Oncology Letters. 15(4). 4358–4364. 22 indexed citations

9.

Chen, Min, et al.. (2018). Su1964 - Crosstalk of Mtor/Hif-1A/Pkm2 and Stat3/C-Myc Signaling Pathways Regulate the Energy Metabolism and Acidic Microenvironment of Gastric Cancer. Gastroenterology. 154(6). S–648. 1 indexed citations

10.

Gao, Sumeng, Min Chen, Wei Wei, et al.. (2018). Crosstalk of mTOR/PKM2 and STAT3/c‐Myc signaling pathways regulate the energy metabolism and acidic microenvironment of gastric cancer. Journal of Cellular Biochemistry. 120(2). 1193–1202. 36 indexed citations

11.

Lü, Jian, Min Chen, Sumeng Gao, et al.. (2017). Effects of targeting SLC1A5 on inhibiting gastric cancer growth and tumor development in vitro and in vivo. Oncotarget. 8(44). 76458–76467. 42 indexed citations

12.

Wang, Xiaoying, et al.. (2013). A solid-state electrochemiluminescence sensing platform for detection of catechol based on novel luminescent composite nanofibers. Talanta. 107. 127–132. 33 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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