Yuxin Shi

3.3k total citations · 2 hit papers
45 papers, 2.2k citations indexed

About

Yuxin Shi is a scholar working on Infectious Diseases, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yuxin Shi has authored 45 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 19 papers in Epidemiology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yuxin Shi's work include COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Long-Term Effects of COVID-19 (7 papers). Yuxin Shi is often cited by papers focused on COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Long-Term Effects of COVID-19 (7 papers). Yuxin Shi collaborates with scholars based in China, United States and Netherlands. Yuxin Shi's co-authors include Yun Ling, Fei Shan, Yebin Jiang, Nannan Shi, Hongzhou Lu, Fengxiang Song, Jie Shen, Zhiyong Zhang, Tongyu Zhu and Tangkai Qi and has published in prestigious journals such as ACS Nano, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Yuxin Shi

40 papers receiving 2.1k citations

Hit Papers

Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia 2020 2026 2022 2024 2020 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuxin Shi China 15 1.3k 756 502 341 327 45 2.2k
Tianhe Ye China 11 1.4k 1.1× 1.2k 1.6× 659 1.3× 235 0.7× 442 1.4× 25 2.4k
Dandan Zheng China 6 1.3k 1.0× 1.1k 1.5× 571 1.1× 173 0.5× 438 1.3× 9 2.4k
Richard L. Hesketh United Kingdom 13 1.2k 1.0× 1.2k 1.6× 564 1.1× 187 0.5× 380 1.2× 30 2.5k
Heshui Shi China 10 1.8k 1.4× 1.5k 2.0× 783 1.6× 286 0.8× 471 1.4× 25 3.3k
Bo Liang China 12 1.7k 1.3× 1.2k 1.6× 757 1.5× 224 0.7× 645 2.0× 23 2.7k
Nanchuan Jiang China 7 1.8k 1.4× 1.0k 1.4× 920 1.8× 251 0.7× 459 1.4× 16 2.9k
Fang Zheng China 11 1.0k 0.8× 930 1.2× 473 0.9× 152 0.4× 332 1.0× 25 1.7k
Lian Yang China 19 1.7k 1.3× 1.3k 1.7× 842 1.7× 297 0.9× 599 1.8× 71 3.5k
Yanli Xu China 9 2.5k 2.0× 849 1.1× 513 1.0× 299 0.9× 622 1.9× 20 3.8k
Kai Han China 17 2.3k 1.8× 836 1.1× 474 0.9× 357 1.0× 602 1.8× 38 4.1k

Countries citing papers authored by Yuxin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yuxin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxin Shi. A scholar is included among the top collaborators of Yuxin Shi 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 Yuxin Shi. Yuxin Shi 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.
Shi, Nannan, et al.. (2025). MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging. Medical Image Analysis. 102. 103507–103507. 1 indexed citations
2.
Shi, Yuxin & Xian‐Guo Liu. (2025). Machine learning for prognostic impact in elderly unresectable hepatocellular carcinoma undergoing radiotherapy. Frontiers in Oncology. 15. 1585125–1585125.
3.
Meng, Hua, Yuxin Shi, Di Liu, et al.. (2024). Prediction model, risk factor score and ventilator-associated pneumonia: A two-stage case-control study. Journal of Microbiology Immunology and Infection. 58(1). 94–102.
4.
Shi, Yuxin, et al.. (2024). Responses of the Southern Ocean mixed layer depth to the eastern and central Pacific El Niño events during austral winter. Acta Oceanologica Sinica. 43(7). 1–14. 1 indexed citations
5.
Shi, Yuxin, et al.. (2024). Influence of mixed layer depth on chlorophyll-a concentration in the Southern Ocean. Acta Oceanologica Sinica. 43(10). 16–32.
6.
Song, Fengxiang, et al.. (2023). Altered metabolism in right basal ganglia associated with asymptomatic neurocognitive impairment in HIV-infected individuals. Heliyon. 10(1). e23342–e23342. 2 indexed citations
7.
Chen, Binghua, Nannan Shi, Dong‐Aolei An, et al.. (2021). Early cardiac involvement in patients with acute COVID-19 infection identified by multiparametric cardiovascular magnetic resonance imaging. European Heart Journal - Cardiovascular Imaging. 22(8). 844–851. 30 indexed citations
8.
Li, Qingtao, Tianyou Chen, Nannan Shi, et al.. (2021). Quantitative evaluation of hepatic fibrosis by fibro Scan and Gd-EOB-DTPA-enhanced T1 mapping magnetic resonance imaging in chronic hepatitis B. Abdominal Radiology. 47(2). 684–692. 9 indexed citations
10.
Liu, Fengjun, Qi Zhang, Chao Huang, et al.. (2020). CT quantification of pneumonia lesions in early days predicts progression to severe illness in a cohort of COVID-19 patients. Theranostics. 10(12). 5613–5622. 138 indexed citations
11.
Chen, Jun, Tangkai Qi, Li Liu, et al.. (2020). Clinical progression of patients with COVID-19 in Shanghai, China. Journal of Infection. 80(5). e1–e6. 582 indexed citations breakdown →
12.
Jin, Mingming, Nannan Shi, Meng Wang, et al.. (2020). CD45: a critical regulator in immune cells to predict severe and non-severe COVID-19 patients. Aging. 12(20). 19867–19879. 18 indexed citations
13.
Shi, Nannan, Fengxiang Song, Fengjun Liu, et al.. (2020). Preliminary investigation of relationship between clinical indicators and CT manifestation patterns of COVID-19 pneumonia improvement. Journal of Thoracic Disease. 12(10). 5896–5905. 1 indexed citations
14.
Shi, Yuxin, Jinxin Liu, Yuxin Yang, et al.. (2020). Pulmonary involvement in acquired immunodeficiency syndrome-associated Kaposi’s sarcoma: a descriptive analysis of thin-section manifestations in 29 patients. Quantitative Imaging in Medicine and Surgery. 11(2). 714–724. 2 indexed citations
15.
Zhu, Jianzhi, Tingting Xiao, Jiulong Zhang, et al.. (2020). Surface-Charge-Switchable Nanoclusters for Magnetic Resonance Imaging-Guided and Glutathione Depletion-Enhanced Photodynamic Therapy. ACS Nano. 14(9). 11225–11237. 117 indexed citations
16.
Cheng, Zenghui, Fei Shan, Jinxin Liu, et al.. (2017). Clinical and computed tomography findings in C hinese lung cancer patients with HIV infection: A multi‐center study. Thoracic Cancer. 8(3). 238–245. 1 indexed citations
17.
Buckey, Jay C., et al.. (2017). Magnetic Resonance Imaging Evidence for Human Immunodeficiency Virus Effects on Central Auditory Processing: A Review. Journal of AIDS & Clinical Research. 8(7). 8 indexed citations
18.
Feng, Feng, Yebin Jiang, Min Yuan, et al.. (2014). Association of Radiologic Findings with Mortality in Patients with Avian Influenza H7N9 Pneumonia. PLoS ONE. 9(4). e93885–e93885. 27 indexed citations
19.
Zhu, Ying, Zhiyong Zhang, & Yuxin Shi. (2013). CT features of pulmonary mycobacterial disease in patients with acquired immunodeficiency syndrome. Zhonghua fangshexian yixue zazhi. 47(1). 23–27. 1 indexed citations
20.
Feng, Feng, et al.. (2013). Computed tomography in predicting smear-negative pulmonary tuberculosis in AIDS patients. Chinese Medical Journal. 126(17). 3228–3233. 11 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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