Yi Qi

5.3k total citations · 2 hit papers
117 papers, 4.0k citations indexed

About

Yi Qi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yi Qi has authored 117 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Radiology, Nuclear Medicine and Imaging, 35 papers in Biomedical Engineering and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Yi Qi's work include Advanced MRI Techniques and Applications (37 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Medical Imaging Techniques and Applications (15 papers). Yi Qi is often cited by papers focused on Advanced MRI Techniques and Applications (37 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Medical Imaging Techniques and Applications (15 papers). Yi Qi collaborates with scholars based in United States, China and Germany. Yi Qi's co-authors include G. Allan Johnson, Michael C. McAlpine, John Cumings, Todd Brintlinger, Cristian T. Badea, Anna Mae Diehl, Gary P. Cofer, Jihoon Kim, Prashant K. Purohit and Thanh D. Nguyen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nano Letters and PLoS ONE.

In The Last Decade

Yi Qi

112 papers receiving 3.9k citations

Hit Papers

Enhanced Piezoelectricity and Stretchability in Energy Ha... 2010 2026 2015 2020 2011 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Qi United States 32 1.5k 1.1k 663 591 395 117 4.0k
Thanh D. Nguyen United States 38 1.5k 1.0× 2.0k 1.9× 424 0.6× 716 1.2× 408 1.0× 176 5.2k
W. A. Kaiser Germany 33 1.8k 1.2× 1.7k 1.6× 317 0.5× 521 0.9× 90 0.2× 116 4.7k
Lidai Wang Hong Kong 43 5.5k 3.7× 1.7k 1.6× 503 0.8× 682 1.2× 226 0.6× 158 6.2k
Xianqiao Wang United States 29 775 0.5× 258 0.2× 246 0.4× 1.3k 2.2× 438 1.1× 164 2.8k
Masaki Sekino Japan 33 3.6k 2.5× 483 0.5× 226 0.3× 630 1.1× 360 0.9× 210 6.0k
Gregory W. Auner United States 41 1.7k 1.2× 303 0.3× 559 0.8× 1.5k 2.5× 295 0.7× 243 5.2k
Long Meng China 31 2.3k 1.6× 449 0.4× 312 0.5× 314 0.5× 217 0.5× 116 3.2k
Jiadi Xu United States 41 1.1k 0.7× 2.3k 2.2× 886 1.3× 2.9k 4.8× 207 0.5× 148 6.4k
Guang Yang China 31 502 0.3× 1.6k 1.5× 209 0.3× 256 0.4× 55 0.1× 230 4.1k
Andrei V. Zvyagin Australia 39 2.5k 1.7× 423 0.4× 630 1.0× 2.4k 4.1× 189 0.5× 210 5.7k

Countries citing papers authored by Yi Qi

Since Specialization
Citations

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

Fields of papers citing papers by Yi Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Qi. A scholar is included among the top collaborators of Yi Qi 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 Yi Qi. Yi Qi 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.
Huang, Shan, et al.. (2025). Exploration of Pathogenesis and Cutting-Edge Treatment Strategies of Sarcopenia: A Narrative Review. Clinical Interventions in Aging. Volume 20. 659–684. 2 indexed citations
2.
Chen, Shihao, et al.. (2024). Microporous polylactic acid/chitin nanocrystals composite scaffolds using in-situ foaming 3D printing for bone tissue engineering. International Journal of Biological Macromolecules. 279(Pt 2). 135055–135055. 7 indexed citations
3.
Blocker, Stephanie J., Yvonne M. Mowery, Jeffrey I. Everitt, et al.. (2024). MR histology reveals tissue features beneath heterogeneous MRI signal in genetically engineered mouse models of sarcoma. Frontiers in Oncology. 14. 1287479–1287479.
4.
Johnson, G. Allan, David G. Ashbrook, Gary P. Cofer, et al.. (2023). Merged magnetic resonance and light sheet microscopy of the whole mouse brain. Proceedings of the National Academy of Sciences. 120(17). e2218617120–e2218617120. 25 indexed citations
5.
Clark, Darin P., et al.. (2023). Advanced photon counting CT imaging pipeline for cardiac phenotyping of apolipoprotein E mouse models. PLoS ONE. 18(10). e0291733–e0291733. 6 indexed citations
6.
Patel, Rutulkumar, Yvonne M. Mowery, Yi Qi, et al.. (2022). Neoadjuvant Radiation Therapy and Surgery Improves Metastasis-Free Survival over Surgery Alone in a Primary Mouse Model of Soft Tissue Sarcoma. Molecular Cancer Therapeutics. 22(1). 112–122. 4 indexed citations
7.
Holbrook, Matt, Darin P. Clark, Rutulkumar Patel, et al.. (2021). Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning. Tomography. 7(3). 358–372. 11 indexed citations
8.
Zhang, Jidong, et al.. (2020). Recent Progress in Fluorescent Chemosensors for Selenium Compounds. Chinese Journal of Organic Chemistry. 40(7). 1847–1847. 3 indexed citations
9.
Badea, Cristian T., Ketan B. Ghaghada, Matt Holbrook, et al.. (2020). A spectral CT study on iodine augmentation of radiation therapy and its potential for combination with chemotherapy. 59–59. 4 indexed citations
10.
Wang, Nian, Anthony J. Mirando, Gary P. Cofer, et al.. (2019). Diffusion tractography of the rat knee at microscopic resolution. Magnetic Resonance in Medicine. 81(6). 3775–3786. 25 indexed citations
11.
Bazizi, El Mehdi, Pei Zhao, C. Gaire, et al.. (2018). Performance boost using spacer-confined cavity for advanced FinFET technology. Semiconductor Science and Technology. 34(1). 15012–15012. 1 indexed citations
12.
Ma, Wei, El Mehdi Bazizi, C. Gaire, et al.. (2018). A Novel Approach to Control Source/Drain Cavity Profile for Device Performance Improvement. IEEE Transactions on Electron Devices. 65(9). 3640–3645. 3 indexed citations
13.
Badea, Alexandra, Robert J. Anderson, Yi Qi, et al.. (2016). The fornix provides multiple biomarkers to characterize circuit disruption in a mouse model of Alzheimer's disease. NeuroImage. 142. 498–511. 29 indexed citations
14.
Abbas, Montasir, Erel Avineri, Ryan Fries, et al.. (2012). Thoughts on the future of artificial intelligence and transportation. UWE Research Repository (UWE Bristol). 3 indexed citations
15.
Badea, Cristian T., Laurence W. Hedlund, Yi Qi, Brian R. Berridge, & G. Allan Johnson. (2011). In vivo imaging of rat coronary arteries using bi-plane digital subtraction angiography. Journal of Pharmacological and Toxicological Methods. 64(2). 151–157. 1 indexed citations
16.
Pandit, Prachi, et al.. (2010). Multishot PROPELLER for high‐field preclinical MRI. Magnetic Resonance in Medicine. 64(1). 47–53. 12 indexed citations
17.
18.
Qi, Yi, et al.. (2009). Blood-Brain Barrier (BBB) Disruption Using a Diagnostic Ultrasound Scanner and Definity® in Mice. Ultrasound in Medicine & Biology. 35(8). 1298–1308. 73 indexed citations
19.
Ghaghada, Ketan B., et al.. (2009). High‐resolution magnetic resonance angiography in the mouse using a nanoparticle blood‐pool contrast agent. Magnetic Resonance in Medicine. 62(6). 1447–1456. 39 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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