Biao Li

11.7k total citations · 1 hit paper
387 papers, 7.4k citations indexed

About

Biao Li is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Biao Li has authored 387 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 66 papers in Radiology, Nuclear Medicine and Imaging and 55 papers in Genetics. Recurrent topics in Biao Li's work include Medical Imaging Techniques and Applications (35 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Cancer, Hypoxia, and Metabolism (19 papers). Biao Li is often cited by papers focused on Medical Imaging Techniques and Applications (35 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Cancer, Hypoxia, and Metabolism (19 papers). Biao Li collaborates with scholars based in China, United States and Switzerland. Biao Li's co-authors include Sean D. Mooney, Predrag Radivojac, D.N. Cooper, Matthew Mort, Min Zhang, Vidhya G. Krishnan, Fuxiao Xin, Sheng Liang, Rui Guo and Xudong Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Biao Li

363 papers receiving 7.3k citations

Hit Papers

Automated inference of mo... 2009 2026 2014 2020 2009 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Biao Li 3.1k 1.2k 915 893 796 387 7.4k
He Wang 3.9k 1.3× 1.5k 1.2× 460 0.5× 627 0.7× 932 1.2× 313 8.4k
Ikuo Morita 4.9k 1.6× 1.2k 1.0× 742 0.8× 529 0.6× 888 1.1× 258 10.3k
Jin Kim 3.8k 1.2× 689 0.6× 525 0.6× 1.3k 1.4× 566 0.7× 313 9.8k
Xuefeng Liu 2.8k 0.9× 1.0k 0.9× 551 0.6× 918 1.0× 364 0.5× 192 6.0k
Juan Wang 3.2k 1.0× 1.4k 1.1× 556 0.6× 542 0.6× 541 0.7× 324 6.3k
Johannes Haybaeck 2.9k 0.9× 1.3k 1.1× 296 0.3× 1.2k 1.3× 441 0.6× 256 6.9k
Bin Lü 5.9k 1.9× 891 0.7× 469 0.5× 584 0.7× 516 0.6× 203 8.2k
Costantino Pitzalis 3.3k 1.1× 916 0.7× 884 1.0× 811 0.9× 1.4k 1.7× 334 14.2k
Steven M. Anderson 4.0k 1.3× 1.5k 1.2× 1.3k 1.5× 808 0.9× 527 0.7× 146 8.7k
Liu Yang 3.9k 1.3× 799 0.6× 757 0.8× 794 0.9× 451 0.6× 208 7.6k

Countries citing papers authored by Biao Li

Since Specialization
Citations

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

Fields of papers citing papers by Biao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Biao Li. A scholar is included among the top collaborators of Biao Li 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 Biao Li. Biao Li 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.
2.
Yu, Shuyi, Liyan Wan, Lei Li, et al.. (2025). 68Ga-FAPI-04 PET/CT Imaging for Assessing Renal Tubulointerstitial Fibrosis in Lupus Nephritis. Journal of Nuclear Medicine. 66(3). 418–424. 3 indexed citations
3.
Wang, Qiliang, Han Chen, Tong Yan, et al.. (2025). A new Co-based complex using as a peroxymonosulfate activator for efficient degradation of Rhodamine B. Journal of Molecular Structure. 1335. 141999–141999. 2 indexed citations
4.
Xiao, Jiao, Jin Wang, Jin‐Tao Wang, et al.. (2025). Language dysfunction and related amyloid-β in Alzheimer’s disease mediated by brain functional connectivity changes. NeuroImage Clinical. 48. 103893–103893.
5.
Hai, Wangxi, et al.. (2024). In situ labeling of pretargeted hyaluronan for PET/MR imaging of CD44+ tumors. Bioorganic Chemistry. 155. 108110–108110. 1 indexed citations
6.
Yan, Tong, Han Chen, Qiliang Wang, et al.. (2024). A highly efficient Co-based catalyst for peroxymonosulfate activation for rapid degradation of RhB over a wide pH range. Inorganic Chemistry Communications. 170. 113199–113199. 5 indexed citations
7.
Li, Biao, Hao Li, Dexuan Xiang, et al.. (2024). Imidazolium and pyridine bifunctionalized hypercrosslinked polymers as efficient and recyclable catalysts for CO2 cycloaddition. Polymer. 312. 127598–127598. 10 indexed citations
8.
Zhang, Miao, Lijun Wang, Xiaozhu Lin, et al.. (2024). Topographic metabolism‐function relationships in Alzheimer's disease: A simultaneous PET/MRI study. Human Brain Mapping. 45(2). e26604–e26604. 3 indexed citations
9.
Li, Biao, et al.. (2024). Genetic and Evolutionary Analysis of Porcine Deltacoronavirus in Guangxi Province, Southern China, from 2020 to 2023. Microorganisms. 12(2). 416–416. 4 indexed citations
10.
Li, Biao, Chengjin Li, Margaret T. Ho, et al.. (2023). Soluble CX3CL1-expressing retinal pigment epithelium cells protect rod photoreceptors in a mouse model of retinitis pigmentosa. Stem Cell Research & Therapy. 14(1). 212–212. 4 indexed citations
11.
Chen, Yang, Zhaopeng Shi, Ying Miao, et al.. (2023). 68Ga-FAPI-04 Positron Emission Tomography Distinguishes Malignancy From 18F-FDG-Avid Colorectal Lesions. International Journal of Radiation Oncology*Biology*Physics. 118(1). 285–294. 6 indexed citations
12.
Li, Biao, et al.. (2023). Exploring the Research Landscape of High Myopia: Trends, Contributors, and Key Areas of Focus. Medical Science Monitor. 29. e941670–e941670. 2 indexed citations
13.
Xi, Yun, Hong Chen, Yue Xi, et al.. (2023). Visualization research on ENT1/NIS dual-function gene therapy to reverse drug resistance mediated by MUC1 in GEM-resistant pancreatic cancer. Nuclear Medicine and Biology. 120-121. 108350–108350. 1 indexed citations
14.
Du, Sijia, Qinming Zhou, Xin‐Yun Huang, et al.. (2023). Deep learning-based PET/MR radiomics for the classification of annualized relapse rate in multiple sclerosis. Multiple Sclerosis and Related Disorders. 75. 104750–104750. 8 indexed citations
15.
Miao, Ying, Runhua Feng, Rui Guo, et al.. (2023). Value of68Ga-FAPI-04 and18F-FDG PET/CT in Early Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer. Journal of Nuclear Medicine. 65(2). 213–220. 10 indexed citations
16.
Liu, Ruilin, et al.. (2023). Physiological and Biochemical Characteristics of Prunus sibirica during Flowering. Scientia Horticulturae. 321. 112358–112358. 6 indexed citations
17.
Li, Biao, et al.. (2023). The role of technology innovation, customer retention and business continuity on firm performance after post-pandemic era in China’s SMEs. Economic Analysis and Policy. 78. 1209–1220. 16 indexed citations
18.
Wu, Xiuxiu, Tianyi Guo, Biao Li, et al.. (2023). Parboiled rice supplementation alleviates high-fat diet-induced hyperlipidemia by regulating genes and gut microbiota in mice. Food Science and Human Wellness. 13(3). 1422–1438. 3 indexed citations
19.
Sun, Wenshe, Jingxing Yang, Mengfei Hou, et al.. (2021). A Nano “Immune‐Guide” Recruiting Lymphocytes and Modulating the Ratio of Macrophages from Different Origins to Enhance Cancer Immunotherapy. Advanced Functional Materials. 31(23). 34 indexed citations
20.
Li, Biao, Vidhya G. Krishnan, Matthew Mort, et al.. (2009). Automated inference of molecular mechanisms of disease from amino acid substitutions. Bioinformatics. 25(21). 2744–2750. 623 indexed citations breakdown →

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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