Ju Gao

484 total citations
29 papers, 242 citations indexed

About

Ju Gao is a scholar working on Artificial Intelligence, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ju Gao has authored 29 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ju Gao's work include Biomedical Text Mining and Ontologies (6 papers), Machine Learning in Healthcare (5 papers) and Topic Modeling (4 papers). Ju Gao is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Machine Learning in Healthcare (5 papers) and Topic Modeling (4 papers). Ju Gao collaborates with scholars based in China, United States and Hong Kong. Ju Gao's co-authors include Tong Ruan, Yangming Zhou, Jiahui Qiu, Qi Wang, Ping He, Yali Ge, Tianfeng Huang, Le Zhang, Mengjie Wang and Xiaoying Wang and has published in prestigious journals such as Frontiers in Microbiology, Critical Care and Anaesthesia.

In The Last Decade

Ju Gao

27 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Gao China 10 135 63 42 36 31 29 242
Stephanie L. Hyland United States 5 162 1.2× 15 0.2× 29 0.7× 56 1.6× 61 2.0× 10 338
Colleen M. Ennett Canada 10 122 0.9× 14 0.2× 59 1.4× 75 2.1× 27 0.9× 26 311
Craig A. Morioka United States 12 145 1.1× 98 1.6× 35 0.8× 28 0.8× 6 0.2× 41 407
Simon Meyer Lauritsen Denmark 5 251 1.9× 20 0.3× 59 1.4× 37 1.0× 39 1.3× 7 418
Hung N. Pham Vietnam 8 145 1.1× 25 0.4× 83 2.0× 17 0.5× 15 0.5× 19 365
Meng-Ju Hsieh Taiwan 13 63 0.5× 13 0.2× 20 0.5× 29 0.8× 24 0.8× 21 340
Francesca Raimondi United Kingdom 7 140 1.0× 24 0.4× 97 2.3× 32 0.9× 99 3.2× 8 371
Farah E. Shamout United Kingdom 8 107 0.8× 10 0.2× 35 0.8× 31 0.9× 27 0.9× 18 300
Rohit Joshi United States 7 206 1.5× 63 1.0× 57 1.4× 24 0.7× 20 0.6× 7 310
Sakyajit Bhattacharya India 11 108 0.8× 15 0.2× 40 1.0× 30 0.8× 72 2.3× 25 286

Countries citing papers authored by Ju Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ju Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Gao. A scholar is included among the top collaborators of Ju 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 Ju Gao. Ju 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
2.
Wang, Tingting, Shuchun Yu, Mingjun Xu, et al.. (2025). Tegileridine for moderate-to-severe acute pain following abdominal surgery: A randomized, double-blind, phase 3 clinical trial. Cell Reports Medicine. 6(12). 102477–102477.
3.
Zhou, Qun, Xiaoying Wang, Yue Song, et al.. (2025). Role of gut microbiota in neuroinflammation: a focus on perioperative neurocognitive disorders. Frontiers in Cellular and Infection Microbiology. 15. 1582909–1582909. 2 indexed citations
4.
Han, Shuai, et al.. (2024). Genetically supported causality between gut microbiota, immune cells, and ischemic stroke: a two-sample Mendelian randomization study. Frontiers in Microbiology. 15. 1402718–1402718. 2 indexed citations
5.
Wang, Zi, et al.. (2024). Genetically supported causality between gut microbiota and frailty: a two-sample Mendelian randomization study. Frontiers in Microbiology. 15. 1324209–1324209. 1 indexed citations
6.
Han, Shuai, et al.. (2024). Genetically supported causality between gut microbiota, immune cells and morphine tolerance: a two-sample Mendelian randomization study. Frontiers in Microbiology. 15. 1343763–1343763. 3 indexed citations
8.
Song, Xiaowei, et al.. (2024). Analysis of Risk Factors and Development and Validation of a Dynamic Nomogram for Postherpetic Neuralgia: A Retrospective Study. Journal of Pain Research. Volume 17. 3935–3948. 1 indexed citations
10.
Wang, Xiaoying, Shuai Liu, Ju Gao, Yang Zhang, & Tianfeng Huang. (2023). Does tidal volume challenge improve the feasibility of pulse pressure variation in patients mechanically ventilated at low tidal volumes? A systematic review and meta-analysis. Critical Care. 27(1). 45–45. 21 indexed citations
11.
Zhao, Wenjing, Yong Li, Ruijin Xie, et al.. (2022). Real‐World Evidence for COVID‐19 Delta Variant’s Effects on the Digestive System and Protection of Inactivated Vaccines from a Medical Center in Yangzhou, China: A Retrospective Observational Study. International Journal of Clinical Practice. 2022(1). 7405448–7405448. 2 indexed citations
12.
Li, Yong, Yuchen Pan, Xi Zhang, et al.. (2022). Clinical and immune response characteristics among vaccinated persons infected with SARS-CoV-2 delta variant: a retrospective study. Journal of Zhejiang University SCIENCE B. 23(11). 899–914. 2 indexed citations
14.
Ruan, Tong, et al.. (2019). Representation learning for clinical time series prediction tasks in electronic health records. BMC Medical Informatics and Decision Making. 19(S8). 259–259. 28 indexed citations
15.
Ruan, Tong, et al.. (2019). QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research. BMC Medical Informatics and Decision Making. 19(1). 82–82. 14 indexed citations
16.
Wang, Qi, Jiahui Qiu, Yangming Zhou, et al.. (2018). Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease. arXiv (Cornell University). 2 indexed citations
17.
Wang, Zhe, et al.. (2018). Mortality prediction system for heart failure with orthogonal relief and dynamic radius means. International Journal of Medical Informatics. 115. 10–17. 15 indexed citations
19.
Ruan, Tong, et al.. (2017). An automatic approach for constructing a knowledge base of symptoms in Chinese. Journal of Biomedical Semantics. 8(S1). 33–33. 23 indexed citations
20.
Gao, Ju, Emre Ertin, Santosh Kumar, & Mustafa Al’Absi. (2013). Contactless sensing of physiological signals using wideband RF probes. 86–90. 9 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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