Qing Jiang

468 total citations · 1 hit paper
12 papers, 292 citations indexed

About

Qing Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Qing Jiang has authored 12 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Biomedical Engineering. Recurrent topics in Qing Jiang's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Renal cell carcinoma treatment (4 papers) and MRI in cancer diagnosis (2 papers). Qing Jiang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Renal cell carcinoma treatment (4 papers) and MRI in cancer diagnosis (2 papers). Qing Jiang collaborates with scholars based in China, United Kingdom and New Zealand. Qing Jiang's co-authors include Peng Luo, Nan Zhang, Guodong Liu, Hao Zhang, Zhe Chen, Chao Liu, Quan Cheng, Zaoqu Liu, Liping Yang and Wantao Wu and has published in prestigious journals such as Journal of Materials Chemistry A, Molecular Cancer and International Journal of Nanomedicine.

In The Last Decade

Qing Jiang

12 papers receiving 291 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Define cancer-associated fibroblasts (CAFs) in the tumor microenvironment: new opportunities in cancer immunotherapy and advances in clinical trials

2023 228 citations Hao Zhang, Zhe Chen et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing Jiang China	7	130	104	74	71	68	12	292
Ron Korn United States	8	206 1.6×	104 1.0×	83 1.1×	68 1.0×	62 0.9×	26	350
Yaqun Li China	5	182 1.4×	106 1.0×	36 0.5×	58 0.8×	113 1.7×	10	320
Stephanie O. Dudzinski United States	5	126 1.0×	68 0.7×	48 0.6×	46 0.6×	132 1.9×	12	268
Marie‐Therese Haider Germany	11	232 1.8×	150 1.4×	86 1.2×	57 0.8×	37 0.5×	16	332
Longwen Xu China	10	172 1.3×	185 1.8×	94 1.3×	61 0.9×	81 1.2×	24	361
Eva A. Ebbing Netherlands	9	233 1.8×	102 1.0×	73 1.0×	90 1.3×	41 0.6×	11	337
Víctor Albarrán Spain	10	155 1.2×	68 0.7×	36 0.5×	74 1.0×	67 1.0×	17	284
Yuanxi Huang China	9	149 1.1×	180 1.7×	145 2.0×	39 0.5×	39 0.6×	29	341

Countries citing papers authored by Qing Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Qing Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Jiang. A scholar is included among the top collaborators of Qing Jiang 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 Qing Jiang. Qing Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Zhou, Jiaxin, Liang‐Wen Ding, Juan Chen, et al.. (2025). HMGB1 Inhibition Alleviates Chronic Nonbacterial Prostatitis by Suppressing M1 Polarization of Macrophages. Journal of Inflammation Research. Volume 18. 6735–6748. 1 indexed citations

Zheng, Yezhen, Jie Bai, Zi Wen, et al.. (2025). Confining the FeSe/NiSe heterostructure in in situ formed carbon microspheres for high-efficiency sodium storage. Journal of Materials Chemistry A. 14(6). 3369–3377. 1 indexed citations

Shi, Feng, et al.. (2024). Sub-regional Radiomics Analysis for Predicting Metastasis Risk in Clear Cell Renal Cell Carcinoma: A Multicenter Retrospective Study. Academic Radiology. 32(1). 237–249. 9 indexed citations

Wei, Zongjie, Huayun Liu, Yongpeng Xie, et al.. (2024). Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer. Heliyon. 10(2). e24878–e24878. 7 indexed citations

Wang, Xinhong, Linlin Ma, Cong Chen, et al.. (2024). Phantom study of a self-shielded X-ray bone age assessment instrument against scattered radiation in children. Pediatric Radiology. 54(4). 646–652. 1 indexed citations

Liu, Huayun, et al.. (2023). Validity of a multiphase CT-based radiomics model in predicting the Leibovich risk groups for localized clear cell renal cell carcinoma: an exploratory study. Insights into Imaging. 14(1). 167–167. 6 indexed citations

Wang, Jiawu, et al.. (2023). A Novel 7-Methylguanosine (m7G)-Related Gene Signature for Overall Survival Prediction in Patient with Clear Cell Renal Cell Carcinoma. Journal of Oncology. 2023. 1–18. 2 indexed citations

Lv, Fajin, et al.. (2023). Deep learning and radiomic feature-based blending ensemble classifier for malignancy risk prediction in cystic renal lesions. Insights into Imaging. 14(1). 6–6. 18 indexed citations

Li, Xingsheng, et al.. (2023). Diagnostic accuracy of multiparametric ultrasound in the diagnosis of prostate cancer: systematic review and meta-analysis. Insights into Imaging. 14(1). 203–203. 2 indexed citations

10.

Zhang, Hao, Zhe Chen, Chao Liu, et al.. (2023). Define cancer-associated fibroblasts (CAFs) in the tumor microenvironment: new opportunities in cancer immunotherapy and advances in clinical trials. Molecular Cancer. 22(1). 159–159. 228 indexed citations breakdown →

11.

Deng, Liu, et al.. (2023). Indocyanine Green-Loaded Nanobubbles Targeting Carbonic Anhydrase IX for Multimodal Imaging of Renal Cell Carcinoma. International Journal of Nanomedicine. Volume 18. 2757–2776. 9 indexed citations

12.

Zheng, Yineng, et al.. (2022). Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble CT machine learning algorithm. Frontiers in Oncology. 12. 1028577–1028577. 8 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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