Bo Gao

2.1k total citations
84 papers, 1.4k citations indexed

About

Bo Gao is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Bo Gao has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 15 papers in Cancer Research and 10 papers in Immunology. Recurrent topics in Bo Gao's work include Bioinformatics and Genomic Networks (10 papers), Cancer-related molecular mechanisms research (7 papers) and RNA modifications and cancer (6 papers). Bo Gao is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Cancer-related molecular mechanisms research (7 papers) and RNA modifications and cancer (6 papers). Bo Gao collaborates with scholars based in China, United States and Australia. Bo Gao's co-authors include Wen‐Ning Wu, Jia Liu, Yingchun Zhang, Yunyuan Gao, Qiang Chen, Jun Zhou, Yajing Zhu, Lizhong Xu, Yuling Wang and Yu Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Bo Gao

77 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Gao China 20 671 279 140 132 100 84 1.4k
Xiaowei Sun China 20 578 0.9× 173 0.6× 179 1.3× 95 0.7× 183 1.8× 55 1.5k
Ping Hu China 25 846 1.3× 258 0.9× 74 0.5× 57 0.4× 66 0.7× 60 1.8k
Li Fan China 27 681 1.0× 139 0.5× 141 1.0× 35 0.3× 269 2.7× 87 1.9k
Xiuwu Zhang United States 23 753 1.1× 225 0.8× 138 1.0× 45 0.3× 79 0.8× 49 1.4k
Maria Sofia Basile Italy 30 755 1.1× 256 0.9× 556 4.0× 40 0.3× 170 1.7× 63 1.8k
Sabah Nisar Qatar 21 1.0k 1.5× 504 1.8× 224 1.6× 176 1.3× 86 0.9× 33 2.2k
Ziyi Li United States 21 547 0.8× 129 0.5× 65 0.5× 77 0.6× 171 1.7× 107 1.4k
Aoife McMahon United Kingdom 10 1.2k 1.7× 201 0.7× 118 0.8× 53 0.4× 157 1.6× 16 2.2k
Dexter Hadley United States 21 1.2k 1.8× 291 1.0× 67 0.5× 156 1.2× 92 0.9× 56 2.8k
Xiaoping Li China 21 783 1.2× 183 0.7× 230 1.6× 42 0.3× 104 1.0× 89 1.6k

Countries citing papers authored by Bo Gao

Since Specialization
Citations

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

Fields of papers citing papers by Bo Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Gao. A scholar is included among the top collaborators of Bo 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 Bo Gao. Bo 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.
Gao, Bo, et al.. (2026). Integrating Artificial Intelligence Into Digital Health-Optimized Therapeutics for the Remote Cardiac Rehabilitation. Clinical Medicine Insights Cardiology. 20. 2007920928–2007920928.
2.
Li, Pingan, Haiping Zhang, Jianhua Ma, et al.. (2025). Associations between lipid parameters and depression with the moderating role of inflammation: Network analyses of 87,636 UK Biobank participants. Psychoneuroendocrinology. 180. 107543–107543.
3.
Zhou, Mingyi, Yan Gao, Yong Zhang, et al.. (2025). CircZFR/YTHDF3 axis drives lymph node metastasis in cervical cancer via FASN translation. Molecular Cancer. 24(1). 218–218.
4.
Li, Hongfei, et al.. (2024). The prognostic impact of pathogenic stromal cell-associated genes in lung adenocarcinoma. Computers in Biology and Medicine. 178. 108692–108692. 1 indexed citations
5.
Hou, Guangdong, Wei Duan, Xin Lei, et al.. (2024). How to assess the long-term recovery outcomes of patients with cauda equina syndrome before surgery: a retrospective cohort study. International Journal of Surgery. 110(7). 4197–4207. 2 indexed citations
6.
Zhang, Tianjiao, et al.. (2024). GAADE: identification spatially variable genes based on adaptive graph attention network. Briefings in Bioinformatics. 26(1).
7.
Jian-hua, MA, Pingan Li, Yue Jiang, et al.. (2024). The Association between Dietary Nutrient Intake and Acceleration of Aging: Evidence from NHANES. Nutrients. 16(11). 1635–1635. 11 indexed citations
8.
Zhu, Wenqing, Chaonan Shen, Bo Gao, et al.. (2024). Association of baseline serum sodium with long-term outcomes in newly diagnosed coronary heart disease patients without heart failure: a prospective cohort study. Scientific Reports. 14(1). 18154–18154. 1 indexed citations
9.
Wu, Zhiyuan, Yue Jiang, Zheng Guo, et al.. (2024). Remnant cholesterol traits and risk of stroke: A multivariable Mendelian randomization study. Australasian Journal of Paramedicine. 3(2). pgae033–pgae033. 10 indexed citations
10.
Zhang, Tianjiao, et al.. (2024). GTADC: A Graph-Based Method for Inferring Cell Spatial Distribution in Cancer Tissues. Biomolecules. 14(4). 436–436. 4 indexed citations
11.
Wang, Xiaonan, Lili Luo, Xiuhua Guo, et al.. (2024). Associations between sleep duration trajectories and cognitive decline: A longitudinal cohort study in China. Archives of Gerontology and Geriatrics. 124. 105445–105445. 2 indexed citations
12.
Jiao, Zhouguang, Sha Li, Liya Yue, et al.. (2023). Spatiotemporal single‐cell transcriptomic profiling reveals inflammatory cell states in a mouse model of diffuse alveolar damage. SHILAP Revista de lepidopterología. 3(3). 20220171–20220171. 23 indexed citations
13.
Gao, Bo, et al.. (2023). Prediction of Cancer Driver Genes through Integrated Analysis of DifferentiallyExpressed Genes at the Individual Level. Current Bioinformatics. 18(10). 792–804. 1 indexed citations
14.
Wu, Zhiyuan, Jiang Yue, Di Zhou, et al.. (2022). Sex-specific Association of Subclinical Hypothyroidism With Incident Metabolic Syndrome: A Population-based Cohort Study. The Journal of Clinical Endocrinology & Metabolism. 107(6). e2365–e2372. 15 indexed citations
15.
Zhao, Lianmei, Xue Zhang, Wei Liu, et al.. (2021). SLCO1B3 promotes colorectal cancer tumorigenesis and metastasis through STAT3. Aging. 13(18). 22164–22175. 21 indexed citations
16.
Zhang, Xue, Jing Han, Feng Li, et al.. (2020). DUOX2 promotes the progression of colorectal cancer cells by regulating the AKT pathway and interacting with RPL3. Carcinogenesis. 42(1). 105–117. 18 indexed citations
17.
Gao, Bo, Lianmei Zhao, Feifei Wang, et al.. (2019). Knockdown of ISOC1 inhibits the proliferation and migration and induces the apoptosis of colon cancer cells through the AKT/GSK-3β pathway. Carcinogenesis. 41(8). 1123–1133. 8 indexed citations
18.
Liu, Chang‐Hua, et al.. (2017). Pathogenesis of IgA nephropathy: abnormal glycosylation of IgA1 and abnormal immunity. 6(4). 182–185. 1 indexed citations
19.
Gao, Bo, et al.. (2016). Downregulation of B7-H4 in the MHCC97-H hepatocellular carcinoma cell line by arsenic trioxide. Molecular Medicine Reports. 13(3). 2032–2038. 11 indexed citations
20.
Sun, Jie, Bo Gao, Meng Zhou, et al.. (2012). Comparative genomic analysis reveals evolutionary characteristics and patterns of microRNA clusters in vertebrates. Gene. 512(2). 383–391. 22 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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