Peng Gao

873 total citations
69 papers, 676 citations indexed

About

Peng Gao is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Inorganic Chemistry. According to data from OpenAlex, Peng Gao has authored 69 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 24 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Inorganic Chemistry. Recurrent topics in Peng Gao's work include Medical Imaging Techniques and Applications (21 papers), Metal-Organic Frameworks: Synthesis and Applications (12 papers) and Advanced X-ray and CT Imaging (12 papers). Peng Gao is often cited by papers focused on Medical Imaging Techniques and Applications (21 papers), Metal-Organic Frameworks: Synthesis and Applications (12 papers) and Advanced X-ray and CT Imaging (12 papers). Peng Gao collaborates with scholars based in China, United States and Malaysia. Peng Gao's co-authors include Hongbing Lu, Wenli Zhang, Ming Hu, Liwen Liu, Huangsheng Pu, Xiaolei Zhang, Chen Chen, Feng Shi, Bin Lan and Yingli Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Scientific Reports.

In The Last Decade

Peng Gao

64 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Gao China 13 261 258 201 149 88 69 676
Barbara Błasiak Poland 15 499 1.9× 312 1.2× 63 0.3× 204 1.4× 53 0.6× 36 829
Sabrina Laus Switzerland 9 634 2.4× 193 0.7× 93 0.5× 211 1.4× 121 1.4× 9 786
Ian Ramsay United States 8 340 1.3× 92 0.4× 50 0.2× 216 1.4× 94 1.1× 28 547
Manuel Mariani Italy 15 211 0.8× 151 0.6× 49 0.2× 95 0.6× 202 2.3× 48 589
Loïck Moriggi Switzerland 9 522 2.0× 213 0.8× 69 0.3× 188 1.3× 164 1.9× 11 748
Yu.M. Chumakov Moldova 8 74 0.3× 359 1.4× 87 0.4× 120 0.8× 62 0.7× 56 622
Jeroen A. Pikkemaat Netherlands 16 267 1.0× 247 1.0× 36 0.2× 270 1.8× 59 0.7× 36 839
Daniel J. Mastarone United States 10 450 1.7× 177 0.7× 38 0.2× 136 0.9× 53 0.6× 10 626
Yuhuang Zhang China 14 487 1.9× 550 2.1× 40 0.2× 53 0.4× 51 0.6× 34 861
Xiaoqian Ge China 19 650 2.5× 360 1.4× 70 0.3× 39 0.3× 83 0.9× 35 915

Countries citing papers authored by Peng Gao

Since Specialization
Citations

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

Fields of papers citing papers by Peng Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Gao. A scholar is included among the top collaborators of Peng Gao 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 Peng Gao. Peng Gao 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.
Gao, Peng & Muhammad Adnan. (2025). Overview of emerging electronics technologies for artificial intelligence: A review. 11. 100136–100136. 5 indexed citations
2.
Gao, Peng, et al.. (2024). Anticancer Effects of radiation dose and dose fractionation on X-ray-induced photodynamic therapy. SHILAP Revista de lepidopterología. 17(3). 100963–100963. 1 indexed citations
3.
Jin, Feng, Yang Liu, Peng Gao, et al.. (2024). 1H-MRS parameters in non-enhancing peritumoral regions can predict the recurrence of glioblastoma. Scientific Reports. 14(1). 29258–29258. 2 indexed citations
4.
Gao, Peng, et al.. (2024). A survey of datasets in medicine for large language models. 4(4). 457–78. 4 indexed citations
5.
Zhang, Xinfei, Gang Li, Peng Gao, et al.. (2023). Combined analysis of potential distribution prediction and phenotypic data of Polygonatum sibiricum in China. Plant Ecology. 224(6). 591–603.
6.
Shu, Lei, Lv Zhou, Yuxin Wang, et al.. (2022). Interfering with CALCRL expression inhibits glioma proliferation, promotes apoptosis, and predicts prognosis in low-grade gliomas. Annals of Translational Medicine. 10(23). 1277–1277. 3 indexed citations
7.
Gao, Peng, Liwen Liu, Wenli Zhang, et al.. (2020). Limited view cone-beam x-ray luminescence tomography based on depth compensation and group sparsity prior. Journal of Biomedical Optics. 25(1). 1–1. 7 indexed citations
8.
Pu, Huangsheng, et al.. (2019). Principal Component Analysis Based Dynamic Cone Beam X-Ray Luminescence Computed Tomography: A Feasibility Study. IEEE Transactions on Medical Imaging. 38(12). 2891–2902. 5 indexed citations
9.
Zhang, Xiaofeng, Bin Lan, Sicheng Wang, et al.. (2019). Low-Dose X-ray Excited Photodynamic Therapy Based on NaLuF4:Tb3+–Rose Bengal Nanocomposite. Bioconjugate Chemistry. 30(8). 2191–2200. 37 indexed citations
10.
Zhang, Wenli, Siyuan Zhang, Peng Gao, et al.. (2019). The feasibility of NaGdF4 nanoparticles as an x‐ray fluorescence computed tomography imaging probe for the liver and lungs. Medical Physics. 47(2). 662–671. 6 indexed citations
11.
Liu, Liwen, Peng Gao, Huangsheng Pu, et al.. (2018). Regularized reconstruction based on joint L1 and total variation for sparse-view cone-beam X-ray luminescence computed tomography. Biomedical Optics Express. 10(1). 1–1. 24 indexed citations
12.
Zheng, Juanjuan, Vicente Micó, & Peng Gao. (2018). Resolution Enhancement in Phase Microscopy: a Review. Preprints.org. 2 indexed citations
13.
Pu, Huangsheng, et al.. (2018). Spectral-resolved cone-beam X-ray luminescence computed tomography with principle component analysis. Biomedical Optics Express. 9(6). 2844–2844. 6 indexed citations
14.
Liu, Liwen, et al.. (2018). Cone-beam x-ray luminescence computed tomography based on x-ray absorption dosage. Journal of Biomedical Optics. 23(2). 1–1. 9 indexed citations
15.
Li, Kangchu, Keying Zhang, Xiaowu Wang, et al.. (2017). EMP‐induced BBB‐disruption enhances drug delivery to glioma and increases treatment efficacy in rats. Bioelectromagnetics. 39(1). 60–67. 12 indexed citations
16.
Wang, Haibo, Jin Wang, Qi Yang, et al.. (2015). Synthesis of a Novel Nitronyl Nitroxide Radical and Determination of its Protective Effects Against Infrasound-Induced Injury. Neurochemical Research. 40(7). 1526–1536. 10 indexed citations
17.
Shi, Tianyao, Haibo Wang, Shufang Feng, et al.. (2012). A New Chiral Pyrrolyl α-Nitronyl Nitroxide Radical Attenuates β-Amyloid Deposition and Rescues Memory Deficits in a Mouse Model of Alzheimer Disease. Neurotherapeutics. 10(2). 340–353. 21 indexed citations
18.
Liu, Jizhong, et al.. (2010). Aquabis(benzoato-κO)(1,10-phenanthroline-κ2N,N′)zinc(II). Acta Crystallographica Section E Structure Reports Online. 67(1). m30–m30. 4 indexed citations
19.
Wang, Haibo, Linlin Jing, Peng Gao, & Xiaoli Sun. (2009). 4,4,5,5-Tetramethyl-2-(3,4,5-trimethoxyphenyl)imidazolidine-1-oxyl 3-oxide. Acta Crystallographica Section E Structure Reports Online. 65(9). o2090–o2090. 2 indexed citations
20.
Gao, Peng, et al.. (1987). TEMPERATURE AND MAGNETIC FIELD DEPENDENCE OF CRITICAL CURRENT OF YBaCuO JOSEPHSON JUNCTIONS. International Journal of Modern Physics B. 1(2). 583–586. 2 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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