Jia Guo

1.3k total citations
55 papers, 613 citations indexed

About

Jia Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Jia Guo has authored 55 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Cognitive Neuroscience. Recurrent topics in Jia Guo's work include Advanced MRI Techniques and Applications (15 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Jia Guo is often cited by papers focused on Advanced MRI Techniques and Applications (15 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Jia Guo collaborates with scholars based in United States, China and United Kingdom. Jia Guo's co-authors include Scott A. Small, Xinyang Feng, Frank A. Provenzano, Miao Ma, Andrew F. Laine, Douglas L. Rothman, Elisa E. Konofagou, Cheng–Chia Wu, Ragy R. Girgis and Gary Brucato and has published in prestigious journals such as PLoS ONE, Stroke and Current Biology.

In The Last Decade

Jia Guo

49 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Guo United States 15 221 119 116 80 78 55 613
Andrew A. Chen United States 15 197 0.9× 143 1.2× 74 0.6× 61 0.8× 124 1.6× 33 684
Bistra Iordanova United States 11 278 1.3× 98 0.8× 67 0.6× 108 1.4× 89 1.1× 24 792
Ben A. Duffy United States 17 156 0.7× 222 1.9× 45 0.4× 220 2.8× 71 0.9× 26 655
María de la Iglesia-Vayá Spain 13 393 1.8× 173 1.5× 53 0.5× 73 0.9× 116 1.5× 47 867
Julien Dauguet France 11 288 1.3× 171 1.4× 58 0.5× 201 2.5× 101 1.3× 25 756
Masami Goto Japan 16 477 2.2× 272 2.3× 64 0.6× 63 0.8× 52 0.7× 61 881
Michael I. Miller United States 9 101 0.5× 122 1.0× 36 0.3× 85 1.1× 83 1.1× 12 441
Jing Wan China 14 224 1.0× 228 1.9× 79 0.7× 14 0.2× 76 1.0× 31 692
Zhengyi Yang Australia 12 325 1.5× 133 1.1× 59 0.5× 55 0.7× 44 0.6× 33 581
Biao Huang China 21 514 2.3× 269 2.3× 32 0.3× 63 0.8× 94 1.2× 82 1.2k

Countries citing papers authored by Jia Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jia Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Guo. A scholar is included among the top collaborators of Jia 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 Jia Guo. Jia 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
1.
Ji, Robin, Amelia K. Boehme, Elisa E. Konofagou, et al.. (2025). Low Hemoglobin Causes Hematoma Expansion and Poor Intracerebral Hemorrhage Outcomes. Stroke. 56(5). 1234–1242. 1 indexed citations
2.
3.
Sharma, Anurag, Antonios N. Pouliopoulos, Yanting Yang, et al.. (2024). Deep Learning Enables Reduced Gadolinium Dose for Contrast-Enhanced Blood-Brain Barrier Opening Quantitative Measurement. 1–5. 2 indexed citations
4.
Huang, Guangtao, et al.. (2024). Quantitative Perfusion Maps Using a Novelty Spatiotemporal Convolutional Neural Network. 1–5. 2 indexed citations
5.
Huang, Xiaowen, et al.. (2024). The effect of autophagy on hemoporfin-mediated photodynamic therapy in human umbilical vein endothelial cells. Photodiagnosis and Photodynamic Therapy. 47. 104196–104196. 1 indexed citations
6.
Leong, Stephen, Aykut Aksit, Elizabeth S. Olson, et al.. (2024). Contrast Enhancement of Cochlea after Direct Microneedle Intracochlear Injection of Gadodiamide through the Round Window Membrane with Minimal Dosage. Academic Radiology. 32(4). 2152–2162. 1 indexed citations
7.
Montague, Tessa G., et al.. (2023). A brain atlas for the camouflaging dwarf cuttlefish, Sepia bandensis. Current Biology. 33(13). 2794–2801.e3. 8 indexed citations
8.
Guo, Li, et al.. (2022). Research on imbalance machine learning methods for MR$$T_1$$WI soft tissue sarcoma data. BMC Medical Imaging. 22(1). 149–149. 9 indexed citations
9.
Yang, Yingjian, et al.. (2022). A Focus on the Role of DSC-PWI Dynamic Radiomics Features in Diagnosis and Outcome Prediction of Ischemic Stroke. Journal of Clinical Medicine. 11(18). 5364–5364. 16 indexed citations
10.
Zhu, Yicheng, et al.. (2022). A deep learning-based diagnostic pattern for ultrasound breast imaging: can it reduce unnecessary biopsy?. Gland Surgery. 11(9). 1529–1537. 6 indexed citations
11.
Sun, Haoran, Junhao Zhang, Xinyang Feng, et al.. (2022). Deep learning of MRI contrast enhancement for mapping cerebral blood volume from single-modal non-contrast scans of aging and Alzheimer's disease brains. Frontiers in Aging Neuroscience. 14. 923673–923673. 4 indexed citations
12.
He, Xinzi, Jia Guo, David Semanek, et al.. (2022). PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers. IEEE Transactions on Medical Imaging. 41(10). 2925–2940. 27 indexed citations
13.
Wang, Mingming, et al.. (2022). Quantitative Distribution of Cerebral Venous Oxygen Saturation and Its Prognostic Value in Patients with Acute Ischemic Stroke. Brain Sciences. 12(8). 1109–1109. 1 indexed citations
14.
Wood, Emily T., Geneviève Patterson, Nana J. Okada, et al.. (2021). Sensory over-responsivity is related to GABAergic inhibition in thalamocortical circuits. Translational Psychiatry. 11(1). 39–39. 45 indexed citations
15.
16.
Liu, Shunli, Jia Guo, Song Liu, et al.. (2021). A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumours. Cancer Imaging. 21(1). 20–20. 34 indexed citations
17.
Liu, Xueqing, Xinyang Feng, Hong-Jian Wei, et al.. (2020). Substituting Gadolinium in Brain MRI Using DeepContrast. 908–912. 17 indexed citations
18.
Guo, Jia, et al.. (2020). Atrophy associated with tau pathology precedes overt cell death in a mouse model of progressive tauopathy. Science Advances. 6(42). 18 indexed citations
19.
Feng, Xinyang, Jia Guo, Richard P. Sloan, et al.. (2020). Brain regions vulnerable and resistant to aging without Alzheimer’s disease. PLoS ONE. 15(7). e0234255–e0234255. 35 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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