Junyu Guo

1.0k total citations
39 papers, 753 citations indexed

About

Junyu Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Junyu Guo has authored 39 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Junyu Guo's work include Advanced MRI Techniques and Applications (12 papers), MRI in cancer diagnosis (9 papers) and Medical Imaging Techniques and Applications (4 papers). Junyu Guo is often cited by papers focused on Advanced MRI Techniques and Applications (12 papers), MRI in cancer diagnosis (9 papers) and Medical Imaging Techniques and Applications (4 papers). Junyu Guo collaborates with scholars based in United States, China and Chile. Junyu Guo's co-authors include Dennis L. Parker, Wilburn E. Reddick, Wei Lin, Mark Rosen, Hee Kwon Song, Eugene Kholmovski, Seong‐Eun Kim, Zheng‐Rong Lu, Eun‐Kee Jeong and Frédéric Noo and has published in prestigious journals such as PLoS ONE, Cancer and Scientific Reports.

In The Last Decade

Junyu Guo

37 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyu Guo United States 15 460 121 98 96 82 39 753
Bram F. Coolen Netherlands 22 741 1.6× 267 2.2× 118 1.2× 177 1.8× 97 1.2× 85 1.3k
Magdy M. Khalil Egypt 13 334 0.7× 95 0.8× 127 1.3× 175 1.8× 29 0.4× 48 691
Yingjie Mei China 15 362 0.8× 40 0.3× 50 0.5× 56 0.6× 43 0.5× 58 592
Gwénaël Herigault France 10 644 1.4× 95 0.8× 84 0.9× 71 0.7× 73 0.9× 12 1.0k
Dingxin Wang United States 17 420 0.9× 93 0.8× 48 0.5× 91 0.9× 23 0.3× 36 719
Dariya Malyarenko United States 20 937 2.0× 131 1.1× 195 2.0× 61 0.6× 107 1.3× 60 1.3k
Zhengwei Zhou United States 14 355 0.8× 41 0.3× 137 1.4× 74 0.8× 193 2.4× 36 697
Christophe Delalande France 13 489 1.1× 41 0.3× 157 1.6× 317 3.3× 67 0.8× 20 938
Ioannis Lavdas United Kingdom 13 310 0.7× 39 0.3× 107 1.1× 166 1.7× 79 1.0× 17 639
Vincent Boudousq France 19 435 0.9× 225 1.9× 155 1.6× 69 0.7× 25 0.3× 47 908

Countries citing papers authored by Junyu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Junyu Guo. A scholar is included among the top collaborators of Junyu Guo 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 Junyu Guo. Junyu Guo 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
2.
Guo, Junyu, et al.. (2022). Deep learning kidney segmentation with very limited training data using a cascaded convolution neural network. PLoS ONE. 17(5). e0267753–e0267753. 8 indexed citations
3.
Keenan, Kathryn E., Zydrunas Gimbutas, Andrew Dienstfrey, et al.. (2021). Multi-site, multi-platform comparison of MRI T1 measurement using the system phantom. PLoS ONE. 16(6). e0252966–e0252966. 28 indexed citations
4.
Li, Hua, et al.. (2021). SNHG17 Serves as an Oncogenic lncRNA by Regulating the miR-361-3p/STC2 Axis in Rectal Cancer. Frontiers in Genetics. 12. 654686–654686. 13 indexed citations
5.
Guo, Junyu, et al.. (2019). Mechanism of CNP-mediated DG-PKC and IP4 signaling pathway in diabetic rats with gastric motility disorder. Molecular Biology Reports. 47(1). 141–149. 1 indexed citations
6.
Zhang, Mohan, et al.. (2019). Effects of AMPK on Apoptosis and Energy Metabolism of Gastric Smooth Muscle Cells in Rats with Diabetic Gastroparesis. Cell Biochemistry and Biophysics. 77(2). 165–177. 15 indexed citations
7.
Guo, Junyu, Yuanyuan Han, Yimei Li, & Wilburn E. Reddick. (2019). Reduced brain microstructural asymmetry in patients with childhood leukemia treated with chemotherapy compared with healthy controls. PLoS ONE. 14(5). e0216554–e0216554. 6 indexed citations
9.
Jiang, Mingshan, Yuanli Liu, Junyu Guo, et al.. (2017). Unconjugated bilirubin ameliorates the inflammation and digestive protease increase in TNBS-induced colitis. Molecular Medicine Reports. 16(2). 1779–1784. 13 indexed citations
10.
Guo, Junyu, Zoltán Patay, & Wilburn E. Reddick. (2016). Fast frequency-sweep spectroscopic imaging with an ultra-low flip angle. Scientific Reports. 6(1). 30066–30066. 2 indexed citations
11.
Guo, Junyu, John O. Glass, M. Beth McCarville, et al.. (2015). Assessing vascular effects of adding bevacizumab to neoadjuvant chemotherapy in osteosarcoma using DCE-MRI. British Journal of Cancer. 113(9). 1282–1288. 26 indexed citations
12.
Matisziw, Timothy C., Tony H. Grubesic, & Junyu Guo. (2012). Robustness Elasticity in Complex Networks. PLoS ONE. 7(7). e39788–e39788. 19 indexed citations
13.
Guo, Junyu, Wilburn E. Reddick, John O. Glass, et al.. (2011). Dynamic contrast‐enhanced magnetic resonance imaging as a prognostic factor in predicting event‐free and overall survival in pediatric patients with osteosarcoma. Cancer. 118(15). 3776–3785. 91 indexed citations
14.
Guo, Junyu & Wilburn E. Reddick. (2009). DCE‐MRI pixel‐by‐pixel quantitative curve pattern analysis and its application to osteosarcoma. Journal of Magnetic Resonance Imaging. 30(1). 177–184. 21 indexed citations
15.
Lin, Wei, Junyu Guo, Mark Rosen, & Hee Kwon Song. (2008). Respiratory motion‐compensated radial dynamic contrast‐enhanced (DCE)‐MRI of chest and abdominal lesions. Magnetic Resonance in Medicine. 60(5). 1135–1146. 93 indexed citations
16.
Zhang, Ling, Eugene Kholmovski, Junyu Guo, & Dennis L. Parker. (2007). TSE with average‐specific phase encoding ordering for motion detection and artifact suppression. Journal of Magnetic Resonance Imaging. 25(6). 1271–1282. 5 indexed citations
17.
Guo, Junyu, et al.. (2006). Effect of size and charge on pharmacokinetics and in vivo MRI contrast enhancement of biodegradable polydisulfide Gd(III) complexes. Journal of Controlled Release. 112(3). 350–356. 35 indexed citations
19.
Zhang, Ling, Brian E. Chapman, Dennis L. Parker, et al.. (2005). Automatic Detection of Three-Dimensional Vascular Tree Centerlines and Bifurcations in High-Resolution Magnetic Resonance Angiography. Investigative Radiology. 40(10). 661–671. 14 indexed citations
20.
Jeong, Eun‐Kee, Seong‐Eun Kim, Junyu Guo, Eugene Kholmovski, & Dennis L. Parker. (2005). High‐resolution DTI with 2D interleaved multislice reduced FOV single‐shot diffusion‐weighted EPI (2D ss‐rFOV‐DWEPI). Magnetic Resonance in Medicine. 54(6). 1575–1579. 91 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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