Weibo Gao

534 total citations
30 papers, 354 citations indexed

About

Weibo Gao is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Weibo Gao has authored 30 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 5 papers in Critical Care and Intensive Care Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Weibo Gao's work include COVID-19 Clinical Research Studies (7 papers), MRI in cancer diagnosis (4 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). Weibo Gao is often cited by papers focused on COVID-19 Clinical Research Studies (7 papers), MRI in cancer diagnosis (4 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). Weibo Gao collaborates with scholars based in China, United States and Italy. Weibo Gao's co-authors include Wei Guo, Guiying Dong, Jihong Zhu, Mingfei Shi, Yuhong Guo, Qi Ge, Xianghai Zhou, Lei Chen, Jing Li and Hongbing Zhang and has published in prestigious journals such as Analytical Chemistry, Frontiers in Immunology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Weibo Gao

29 papers receiving 350 citations

Peers

Weibo Gao

RNMI

EDM

ONCOL

NEURO

Job A.J. Verdonschot Netherlands

Ana Marín‐Niebla Spain

Aydın Yılmaz Türkiye

Androniki Bili United States

Gee Chuan Wong Singapore

Albert Topf Austria

Wenhui Huang China

Avram Z. Traum United States

Petra Petranović Ovčariček Switzerland

Claus Lohman Brasen Denmark

Job A.J. Verdonschot Netherlands

Weibo Gao

88 ×0.6

89 ×1.2

RNMI

45 ×0.7

EDM

45 ×0.7

ONCOL

14 ×0.2

NEURO

Citations per year, relative to Weibo Gao Weibo Gao (= 1×) peers Job A.J. Verdonschot

Countries citing papers authored by Weibo Gao

Since Specialization

Citations

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

Fields of papers citing papers by Weibo Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weibo Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Weibo Gao. A scholar is included among the top collaborators of Weibo 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 Weibo Gao. Weibo 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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20 of 20 papers shown

Li, B., Hang Li, Chao Yang, et al.. (2025). An Integrated Digital Microfluidic Platform with Titanium Dioxide Nanoparticles-Assisted Laser Desorption Ionization Mass Spectrometry for Microbial Analysis. Analytical Chemistry. 97(38). 20918–20927.

Feng, Mingjie, et al.. (2025). Volume stability evaluation and life prediction of steel slag water-stabilised materials. Road Materials and Pavement Design. 27(2). 345–365. 1 indexed citations

Wang, Kai, Wei Guo, Jihong Zhu, Yang Guo, & Weibo Gao. (2024). Clinical Characteristics and Risk Factors of Sepsis in Patients with Liver Abscess. British Journal of Hospital Medicine. 85(9). 1–15. 2 indexed citations

Gao, Weibo, Hang Li, Jinming Zhang, et al.. (2024). Machine Learning Assisted MALDI Mass Spectrometry for Rapid Antimicrobial Resistance Prediction in Clinicals. Analytical Chemistry. 96(33). 13398–13409. 4 indexed citations

Ma, Mingze, Weibo Gao, Xiaowei He, et al.. (2024). A Deep Learning Model for Predicting Molecular Subtype of Breast Cancer by Fusing Multiple Sequences of DCE-MRI From Two Institutes. Academic Radiology. 31(9). 3479–3488. 6 indexed citations

Wang, Kai, et al.. (2024). The Effect of Hybrid Blood Purification Combined with Ulinastatin for the Treatment of Severe Sepsis on APACHE II Score and Levels of miR-146a and miR-155. International Journal of General Medicine. Volume 17. 5897–5905. 1 indexed citations

Gao, Weibo, Yanyan Zhang, Wenbin Liang, et al.. (2024). Quantitative Assessment of Breast Tumor: Comparison of Four Methods of Positioning Region of Interest for Synthetic Relaxometry and Diffusion Measurement. Academic Radiology. 31(8). 3096–3105. 1 indexed citations

Yin, Yue, Lin Pei, Liu Li, et al.. (2024). The close association of micronutrients with COVID-19. Heliyon. 10(7). e28629–e28629. 2 indexed citations

Gao, Weibo, Lijuan Hu, Chunyu Wang, et al.. (2023). A predictive model for identifying secondary underlying diseases of hemophagocytic lymphohistiocytosis. Frontiers in Immunology. 14. 1143181–1143181. 4 indexed citations

10.

Gao, Weibo, Jixin Chen, Bin Zhang, et al.. (2023). Automatic deep learning method for detection and classification of breast lesions in dynamic contrast-enhanced magnetic resonance imaging. Quantitative Imaging in Medicine and Surgery. 13(4). 2620–2633. 2 indexed citations

11.

Gao, Weibo, Xiaohui Li, Xin Chen, et al.. (2022). Synthetic MRI with quantitative mappings for identifying receptor status, proliferation rate, and molecular subtypes of breast cancer. European Journal of Radiology. 148. 110168–110168. 19 indexed citations

12.

Gao, Weibo, Yuebo Jin, Jihong Zhu, et al.. (2022). Antiphospholipid Syndrome-Related Pulmonary Embolism: Clinical Characteristics and Early Recognition. Frontiers in Cardiovascular Medicine. 9. 872523–872523. 7 indexed citations

13.

Dong, Guiying, Zhe Du, Jihong Zhu, et al.. (2021). The clinical characteristics and prognosis of COVID-19 patients with comorbidities: a retrospective analysis of the infection peak in Wuhan. Annals of Translational Medicine. 9(4). 280–280. 10 indexed citations

14.

Dong, Guiying, et al.. (2021). Hemophagocytosis, hyper-inflammatory responses, and multiple organ damages in COVID-19-associated hyperferritinemia. Annals of Hematology. 101(3). 513–520. 7 indexed citations

15.

Wang, Feilong, Chenchen Qian, Jing Hua, et al.. (2020). Epidemiology and Outcomes of Acute Kidney Injury in COVID-19 Patients with Acute Respiratory Distress Syndrome: A Multicenter Retrospective Study. Blood Purification. 50(4-5). 499–505. 22 indexed citations

16.

Liu, Yang, Weibo Gao, Wei Guo, et al.. (2020). Prominent coagulation disorder is closely related to inflammatory response and could be as a prognostic indicator for ICU patients with COVID-19. Journal of Thrombosis and Thrombolysis. 50(4). 825–832. 43 indexed citations

17.

Gao, Weibo, Wei Guo, Yuhong Guo, et al.. (2020). Thyroid hormone concentrations in severely or critically ill patients with COVID-19. Journal of Endocrinological Investigation. 44(5). 1031–1040. 82 indexed citations

18.

Gao, Weibo, et al.. (2019). The effect of hypertension on the prognosis of acute aortic dissection. Zhonghua jizhen yixue zazhi. 28(5). 614–618. 1 indexed citations

19.

Gao, Weibo, et al.. (2015). Case Report Diffuse large B-cell lymphoma in the primary bone marrow. Genetics and Molecular Research. 14(2). 6247–6250. 9 indexed citations

20.

Li, Bing-Zong, Mingxia Shi, Jing Li, et al.. (2007). Elevated Tumor Necrosis Factor- α Suppresses TAZ Expression and Impairs Osteogenic Potential of Flk-1 ⁺ Mesenchymal Stem Cells in Patients with Multiple Myeloma. Stem Cells and Development. 16(6). 921–930. 58 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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