Yong Gao

719 total citations
33 papers, 488 citations indexed

About

Yong Gao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yong Gao has authored 33 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Yong Gao's work include Ubiquitin and proteasome pathways (8 papers), MicroRNA in disease regulation (6 papers) and RNA modifications and cancer (6 papers). Yong Gao is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), MicroRNA in disease regulation (6 papers) and RNA modifications and cancer (6 papers). Yong Gao collaborates with scholars based in China, United States and South Korea. Yong Gao's co-authors include Yandong Li, Shaoning Jiang, Jaroslaw W. Zmijewski, Dae Won Park, Hengliang Shi, Rutong Yu, Yuxuan Wu, William S. Stigler, Jean‐Marc Tadié and Jessy S. Deshane and has published in prestigious journals such as PLoS ONE, Bone and BioMed Research International.

In The Last Decade

Yong Gao

33 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Gao China 14 367 140 85 76 59 33 488
Junhao Mu China 14 333 0.9× 119 0.8× 71 0.8× 33 0.4× 42 0.7× 23 442
Byul A Jee South Korea 10 303 0.8× 128 0.9× 59 0.7× 49 0.6× 40 0.7× 10 445
Shi Hao Tan Singapore 13 419 1.1× 140 1.0× 88 1.0× 127 1.7× 106 1.8× 35 650
Ophélie Meynet France 8 224 0.6× 130 0.9× 81 1.0× 46 0.6× 74 1.3× 9 449
Mariam Markouli Greece 12 286 0.8× 95 0.7× 104 1.2× 37 0.5× 65 1.1× 27 469
M. Soledad Fernández-García Spain 7 283 0.8× 101 0.7× 60 0.7× 87 1.1× 37 0.6× 10 427
Komal Qureshi-Baig Luxembourg 7 260 0.7× 225 1.6× 152 1.8× 72 0.9× 36 0.6× 7 430
Lilong Lin China 10 279 0.8× 101 0.7× 79 0.9× 48 0.6× 139 2.4× 13 443
Eun Jeong Kwon South Korea 7 371 1.0× 121 0.9× 115 1.4× 69 0.9× 38 0.6× 9 538
Dongyi Wan China 10 326 0.9× 146 1.0× 153 1.8× 31 0.4× 37 0.6× 16 481

Countries citing papers authored by Yong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Gao. A scholar is included among the top collaborators of Yong 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 Yong Gao. Yong Gao 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.
Zhang, Haoran, et al.. (2024). TBC1D10B promotes tumor progression in colon cancer via PAK4‑mediated promotion of the PI3K/AKT/mTOR pathway. APOPTOSIS. 29(7-8). 1185–1197. 1 indexed citations
2.
Wang, Jialin, Mengxi Xiu, Jin Wang, Yong Gao, & Yandong Li. (2024). METTL16-SENP3-LTF axis confers ferroptosis resistance and facilitates tumorigenesis in hepatocellular carcinoma. Journal of Hematology & Oncology. 17(1). 78–78. 21 indexed citations
3.
Wu, Qiong, et al.. (2022). METTL13 facilitates cell growth and metastasis in gastric cancer via an eEF1A/HN1L positive feedback circuit. Journal of Cell Communication and Signaling. 17(1). 121–135. 13 indexed citations
4.
Wang, Xiuqing, et al.. (2022). Construction of the model for predicting prognosis by key genes regulating EGFR-TKI resistance. Frontiers in Genetics. 13. 968376–968376. 5 indexed citations
5.
Wang, Lei, et al.. (2021). Identification of ubiquitination-related genes in human glioma as indicators of patient prognosis. PLoS ONE. 16(4). e0250239–e0250239. 7 indexed citations
6.
Liu, Yong, et al.. (2021). H19- and hsa-miR-338-3p-mediated NRP1 expression is an independent predictor of poor prognosis in glioblastoma. PLoS ONE. 16(11). e0260103–e0260103. 9 indexed citations
7.
Jin, Mingwei, et al.. (2020). PART1 and hsa‐miR‐429‐Mediated SHCBP1 Expression Is an Independent Predictor of Poor Prognosis in Glioma Patients. BioMed Research International. 2020(1). 1767056–1767056. 8 indexed citations
8.
Gao, Yong, et al.. (2020). Hepatitis B virus X protein boosts hepatocellular carcinoma progression by downregulating microRNA-137. Pathology - Research and Practice. 216(6). 152981–152981. 9 indexed citations
9.
Liu, Yong, et al.. (2020). Prediction of Ubiquitin Ligase Nrdp1-Associated Proteins in Glioma Database. Cell Biochemistry and Biophysics. 78(3). 301–308. 2 indexed citations
10.
Gao, Yong, Mingwei Jin, Qi An, et al.. (2019). Ubiquitin ligase RNF5 serves an important role in the development of human glioma. Oncology Letters. 18(5). 4659–4666. 12 indexed citations
11.
Gao, Yong, Mingwei Jin, Shumei Xu, et al.. (2019). Bioinformatic analysis of Cacybp‐associated proteins using human glioma databases. IUBMB Life. 71(7). 827–834. 6 indexed citations
12.
Li, Shuai, Yong Gao, Xiaobo Feng, et al.. (2018). BCL3 regulates RANKL-induced osteoclastogenesis by interacting with TRAF6 in bone marrow-derived macrophages. Bone. 114. 257–267. 14 indexed citations
13.
Shao, Cuijie, Jiani Wang, Yong Gao, et al.. (2016). Expression of microtubule-associated protein TPX2 in human gastric carcinoma and its prognostic significance. Cancer Cell International. 16(1). 79–79. 10 indexed citations
14.
Tang, Yuan, Tong Cao, Yong Gao, et al.. (2016). CacyBP/SIP inhibits Doxourbicin‐induced apoptosis of glioma cells due to activation of ERK1/2. IUBMB Life. 68(3). 211–219. 11 indexed citations
15.
Di, Weihua, Muhammad Noman Khan, Yong Gao, et al.. (2016). Vitamin K4 inhibits the proliferation and induces apoptosis of U2OS osteosarcoma cells via mitochondrial dysfunction. Molecular Medicine Reports. 15(1). 277–284. 11 indexed citations
16.
Jiang, Shaoning, Dae Won Park, Yong Gao, et al.. (2015). Participation of proteasome-ubiquitin protein degradation in autophagy and the activation of AMP-activated protein kinase. Cellular Signalling. 27(6). 1186–1197. 33 indexed citations
17.
Shi, Hengliang, Hui Gong, Yuxuan Wu, et al.. (2015). Nrdp1-mediated ErbB3 degradation inhibits glioma cell migration and invasion by reducing cytoplasmic localization of p27Kip1. Journal of Neuro-Oncology. 124(3). 357–364. 20 indexed citations
18.
Shi, Hengliang, Yuxuan Wu, Yuan Tang, et al.. (2014). Ubiquitin ligase Siah1 promotes the migration and invasion of human glioma cells by regulating HIF-1α signaling under hypoxia. Oncology Reports. 33(3). 1185–1190. 22 indexed citations
19.
Park, Dae Won, Shaoning Jiang, Jean‐Marc Tadié, et al.. (2013). Activation of AMPK Enhances Neutrophil Chemotaxis and Bacterial Killing. Molecular Medicine. 19(1). 387–398. 80 indexed citations
20.
Gao, Yong, et al.. (2009). [Allicin enhances cytotoxicity of CPT-11 to colon cancer LoVo cell in vitro].. PubMed. 34(23). 3092–5. 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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