Hongda Shao

1.0k total citations
33 papers, 642 citations indexed

About

Hongda Shao is a scholar working on Radiology, Nuclear Medicine and Imaging, Rheumatology and Nuclear and High Energy Physics. According to data from OpenAlex, Hongda Shao has authored 33 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Rheumatology and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Hongda Shao's work include Advanced MRI Techniques and Applications (17 papers), NMR spectroscopy and applications (5 papers) and Atomic and Subatomic Physics Research (4 papers). Hongda Shao is often cited by papers focused on Advanced MRI Techniques and Applications (17 papers), NMR spectroscopy and applications (5 papers) and Atomic and Subatomic Physics Research (4 papers). Hongda Shao collaborates with scholars based in China, United States and Spain. Hongda Shao's co-authors include Jiang Du, Eric Y. Chang, Yajun Ma, Graeme M. Bydder, Jun Chen, Michael Carl, Guangyu Tang, Chantal Pauli, Anthony Tadros and Christine B. Chung and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Hongda Shao

31 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongda Shao China 14 389 160 136 127 95 33 642
Štefan Zbýň Austria 20 541 1.4× 291 1.8× 249 1.8× 371 2.9× 345 3.6× 49 1.1k
Yongxian Qian United States 16 480 1.2× 260 1.6× 199 1.5× 275 2.2× 351 3.7× 37 992
Hamidreza Saligheh Rad Iran 15 443 1.1× 91 0.6× 92 0.7× 17 0.1× 61 0.6× 59 661
S Chesnick United States 7 347 0.9× 83 0.5× 42 0.3× 99 0.8× 54 0.6× 9 491
Thomas J. Connick United States 10 338 0.9× 77 0.5× 19 0.1× 100 0.8× 79 0.8× 14 507
Junyu Guo United States 15 460 1.2× 96 0.6× 40 0.3× 63 0.5× 45 0.5× 39 753
Jonathan Wong United States 11 158 0.4× 66 0.4× 58 0.4× 50 0.4× 69 0.7× 23 318
Neville Gai United States 19 819 2.1× 105 0.7× 39 0.3× 15 0.1× 125 1.3× 46 1.3k
Aranee Techawiboonwong United States 10 525 1.3× 47 0.3× 188 1.4× 15 0.1× 33 0.3× 10 658
Anja Müller‐Lutz Germany 17 379 1.0× 118 0.7× 90 0.7× 195 1.5× 141 1.5× 63 779

Countries citing papers authored by Hongda Shao

Since Specialization
Citations

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

Fields of papers citing papers by Hongda Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongda Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongda Shao. A scholar is included among the top collaborators of Hongda Shao 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 Hongda Shao. Hongda Shao 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.
Zhao, Xiang, Feng Liu, Chunhui Ma, et al.. (2025). Targeting p21‐Positive Senescent Chondrocytes via IL‐6R/JAK2 Inhibition to Alleviate Osteoarthritis. Advanced Science. 12(11). e2410795–e2410795. 3 indexed citations
2.
3.
Wang, Ze, Shuwei Bai, Yaying Song, et al.. (2024). Impact of NBP on acute ischemic stroke: Tracking therapy effect on neuroinflammation. International Immunopharmacology. 143(Pt 1). 113217–113217. 1 indexed citations
4.
Huang, Wei, Min Cao, You Zhang, et al.. (2024). Immuno-PET/CT Imaging of Trop2 with [18F]AlF-RESCA-T4 Differentiates Lung Cancer from Inflammation. Journal of Nuclear Medicine. 65(12). jnumed.124.268751–jnumed.124.268751. 2 indexed citations
5.
Yuan, Ping, Mei Xin, Hongda Shao, et al.. (2024). Visualization of tau deposition in the inferior olivary nucleus of a patient with hypertrophic olivary degeneration using [18F]-PI2620. European Journal of Nuclear Medicine and Molecular Imaging. 52(7). 2251–2252. 1 indexed citations
6.
Xin, Mei, et al.. (2023). Pilot study on 11C-CFT dynamic imaging using total-body PET/CT: biodistribution and radiation dosimetry in Parkinson's disease. Frontiers in Neurology. 14. 1153779–1153779. 5 indexed citations
7.
Zhang, Yan, et al.. (2023). Alzheimer's disease: Potential pathogenesis and imaging findings. SHILAP Revista de lepidopterología. 4(5). 15 indexed citations
8.
Bai, Shuwei, Chenpeng Zhang, Xiaoying Yao, et al.. (2023). A novel classification model based on cerebral 18F-FDG uptake pattern facilitates the diagnosis of acute/subacute seropositive autoimmune encephalitis. Journal of Neuroradiology. 50(5). 492–501. 2 indexed citations
9.
Shao, Hongda, Jia‐Wei Yang, Yajun Ma, et al.. (2021). Evaluation of cartilage degeneration using multiparametric quantitative ultrashort echo time-based MRI: an ex vivo study. Quantitative Imaging in Medicine and Surgery. 12(3). 1738–1749. 10 indexed citations
10.
Ma, Yajun, Shujuan Fan, Hongda Shao, et al.. (2020). Use of Multiplied, Added, Subtracted and/or FiTted Inversion Recovery (MASTIR) pulse sequences. Quantitative Imaging in Medicine and Surgery. 10(6). 1334–1369. 8 indexed citations
11.
Xu, Guang, Li‐Hua Xiang, Jian Wu, et al.. (2020). The accuracy of prostate lesion localization in cognitive fusion. Clinical Hemorheology and Microcirculation. 74(3). 223–229. 4 indexed citations
12.
Ma, Yajun, Hongda Shao, Shujuan Fan, et al.. (2020). New options for increasing the sensitivity, specificity and scope of synergistic contrast magnetic resonance imaging (scMRI) using Multiplied, Added, Subtracted and/or FiTted (MASTIR) pulse sequences. Quantitative Imaging in Medicine and Surgery. 10(10). 2030–2065. 6 indexed citations
13.
Yang, Jia‐Wei, Hongda Shao, Yajun Ma, et al.. (2019). Quantitative ultrashort echo time magnetization transfer (UTE-MT) for diagnosis of early cartilage degeneration: comparison with UTE-T2* and T2 mapping. Quantitative Imaging in Medicine and Surgery. 10(1). 171–183. 25 indexed citations
14.
Wan, Lidi, Mei Wu, Vipul Sheth, et al.. (2019). Evaluation of cortical bone perfusion using dynamic contrast enhanced ultrashort echo time imaging: a feasibility study. Quantitative Imaging in Medicine and Surgery. 9(8). 1383–1393. 7 indexed citations
15.
Shao, Hongda, Chantal Pauli, Yajun Ma, et al.. (2017). Magic angle effect plays a major role in both T1rho and T2 relaxation in articular cartilage. Osteoarthritis and Cartilage. 25(12). 2022–2030. 83 indexed citations
16.
Ma, Yajun, Michael Carl, Hongda Shao, et al.. (2017). Three‐dimensional ultrashort echo time cones T1ρ (3D UTE‐cones‐T1ρ) imaging. NMR in Biomedicine. 30(6). 34 indexed citations
17.
He, Qun, Shujuan Fan, Michael Carl, et al.. (2016). Imaging and quantification of iron‐oxide nanoparticles (IONP) using MP‐RAGE and UTE based sequences. Magnetic Resonance in Medicine. 78(1). 226–232. 18 indexed citations
18.
Ma, Yajun, Hongda Shao, Jiang Du, & Eric Y. Chang. (2016). Ultrashort echo time magnetization transfer (UTE‐MT) imaging and modeling: magic angle independent biomarkers of tissue properties. NMR in Biomedicine. 29(11). 1546–1552. 67 indexed citations
19.
Shao, Hongda, Eric Y. Chang, Chantal Pauli, et al.. (2015). UTE bi-component analysis of T2* relaxation in articular cartilage. Osteoarthritis and Cartilage. 24(2). 364–373. 49 indexed citations
20.

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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