Renhua Wu

10.2k total citations · 1 hit paper
127 papers, 3.0k citations indexed

About

Renhua Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Renhua Wu has authored 127 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Radiology, Nuclear Medicine and Imaging, 41 papers in Materials Chemistry and 21 papers in Molecular Biology. Recurrent topics in Renhua Wu's work include Advanced MRI Techniques and Applications (56 papers), Lanthanide and Transition Metal Complexes (40 papers) and Electron Spin Resonance Studies (16 papers). Renhua Wu is often cited by papers focused on Advanced MRI Techniques and Applications (56 papers), Lanthanide and Transition Metal Complexes (40 papers) and Electron Spin Resonance Studies (16 papers). Renhua Wu collaborates with scholars based in China, United States and Canada. Renhua Wu's co-authors include Dandan Xu, B. Wang, Bimei Hong, Xingliang Duan, Phillip Zhe Sun, Gang Xiao, Zhiwei Shen, Zhuozhi Dai, Gen Yan and Haiyun Xu and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Renhua Wu

118 papers receiving 2.9k citations

Hit Papers

Expression of a Late Embr... 1996 2026 2006 2016 1996 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Renhua Wu 888 866 850 695 285 127 3.0k
Qing Ye 1.4k 1.6× 144 0.2× 286 0.3× 155 0.2× 162 0.6× 104 2.7k
Joan E. Roberts 1.2k 1.3× 258 0.3× 95 0.1× 530 0.8× 93 0.3× 104 2.9k
Federico Boschi 751 0.8× 524 0.6× 95 0.1× 395 0.6× 65 0.2× 139 2.8k
Ulrich Pilatus 813 0.9× 1.6k 1.9× 42 0.0× 253 0.4× 134 0.5× 113 3.5k
Jean‐Michel Franconi 918 1.0× 548 0.6× 49 0.1× 198 0.3× 150 0.5× 92 2.5k
Masatoshi Inoue 3.0k 3.4× 127 0.1× 342 0.4× 310 0.4× 232 0.8× 270 6.7k
Tomohiro Nishizawa 2.6k 2.9× 132 0.2× 561 0.7× 186 0.3× 35 0.1× 108 4.0k
Makoto Aihara 2.0k 2.2× 2.2k 2.5× 80 0.1× 163 0.2× 73 0.3× 380 6.8k
Ronald M. Lynch 2.0k 2.2× 367 0.4× 51 0.1× 157 0.2× 299 1.0× 88 3.6k
Hideaki Kato 2.7k 3.1× 250 0.3× 220 0.3× 155 0.2× 63 0.2× 102 4.8k

Countries citing papers authored by Renhua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Renhua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renhua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Renhua Wu. A scholar is included among the top collaborators of Renhua Wu 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 Renhua Wu. Renhua Wu 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.
Guan, Jitian, et al.. (2025). Mapping Resting‐State Brain Functional Specialization to Neurotransmitter Profiles in Autism Spectrum Disorder. CNS Neuroscience & Therapeutics. 31(11). e70666–e70666.
2.
Li, Qingsong, Jie Liu, Lin Du, et al.. (2025). Exploring the cellular and molecular basis of murine cardiac development through spatiotemporal transcriptome sequencing. GigaScience. 14. 1 indexed citations
3.
Zhao, Yan, Changchun Ma, Lijing Xin, et al.. (2024). NMR and MS reveal characteristic metabolome atlas and optimize esophageal squamous cell carcinoma early detection. Nature Communications. 15(1). 2463–2463. 16 indexed citations
4.
Zhang, Liling, et al.. (2024). 3.0 T multi-parametric MRI reveals metabolic and microstructural abnormalities in the posterior visual pathways in patients with thyroid eye disease. Frontiers in Neuroscience. 17. 1306364–1306364. 2 indexed citations
5.
Xiao, Gang, Xiaolei Zhang, Wěipéng Huáng, et al.. (2024). Deep learning for dense Z-spectra reconstruction from CEST images at sparse frequency offsets. Frontiers in Neuroscience. 17. 1323131–1323131. 7 indexed citations
6.
Li, Dian, Wei He, Xiaodong Cui, et al.. (2023). Enzyme‐free photothermally amplified fluorescent immunosorbent assay (PAFISA) for sensitive cytokine quantification. SHILAP Revista de lepidopterología. 4(6). 13 indexed citations
7.
Guan, Jitian, Meiling Xu, Yan Cheng, et al.. (2023). Role of Imaging Modalities and N -Acetylcysteine Treatment in Sepsis-Associated Encephalopathy. ACS Chemical Neuroscience. 14(11). 2172–2182. 6 indexed citations
8.
Wu, Jianrong, Renhua Wu, Dandan Wang, et al.. (2023). Efficacy and safety of proton beam therapy for rhabdomyosarcoma: a systematic review and meta-analysis. Radiation Oncology. 18(1). 31–31. 4 indexed citations
9.
He, Yi, Jitian Guan, Xiaolei Zhang, et al.. (2023). Imaging of brain clearance pathways via MRI assessment of the glymphatic system. Aging. 15(24). 14945–14956. 5 indexed citations
11.
Yan, Gen, et al.. (2021). Quantitative metabolic characteristics in the peritumoral region of gliomas at 7T. Technology and Health Care. 29(S1). 509–517. 3 indexed citations
12.
Zhang, Xiaolei, Wenqiang Wang, Zhiwei Shen, et al.. (2020). Maternal separation with early weaning impairs neuron-glia integrity: non-invasive evaluation and substructure demonstration. Scientific Reports. 10(1). 19440–19440. 12 indexed citations
13.
Zhang, Bin, Qiang Zhang, Chunli Wang, et al.. (2019). Circulating tumor DNA detection is correlated to histologic types in patients with early-stage non-small-cell lung cancer. Lung Cancer. 134. 108–116. 21 indexed citations
14.
Wang, Chaochao, Dalong Ni, Zhiwei Shen, et al.. (2019). Novel nanomedicine with a chemical-exchange saturation transfer effect for breast cancer treatment in vivo. Journal of Nanobiotechnology. 17(1). 123–123. 21 indexed citations
15.
Chen, Peidong, Zhiwei Shen, Gang Xiao, et al.. (2019). Brain Amide Proton Transfer Imaging of Rat With Alzheimer’s Disease Using Saturation With Frequency Alternating RF Irradiation Method. Frontiers in Aging Neuroscience. 11. 217–217. 18 indexed citations
16.
Xu, Haiyun, Handi Zhang, Jie Zhang, et al.. (2016). Evaluation of neuron-glia integrity by in vivo proton magnetic resonance spectroscopy: Implications for psychiatric disorders. Neuroscience & Biobehavioral Reviews. 71. 563–577. 39 indexed citations
17.
Chen, Liping, et al.. (2014). Anterior cingulate cortex and cerebellar hemisphere neurometabolite changes in depression treatment: A 1H magnetic resonance spectroscopy study. Psychiatry and Clinical Neurosciences. 68(5). 357–364. 59 indexed citations
19.
Sun, Phillip Zhe, Jie Lu, Yin Wu, Gang Xiao, & Renhua Wu. (2013). Evaluation of the dependence of CEST-EPI measurement on repetition time, RF irradiation duty cycle and imaging flip angle for enhanced pH sensitivity. Physics in Medicine and Biology. 58(17). N229–N240. 52 indexed citations
20.
Ma, Lian, et al.. (2010). Is 1.28 parts per million biomarker specific for neural progenitor cells?. Research at the University of Copenhagen (University of Copenhagen). 1 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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