Gang Niu

11.2k total citations · 3 hit papers
140 papers, 9.2k citations indexed

About

Gang Niu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Gang Niu has authored 140 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Oncology and 37 papers in Molecular Biology. Recurrent topics in Gang Niu's work include Radiopharmaceutical Chemistry and Applications (46 papers), Cell Adhesion Molecules Research (31 papers) and Monoclonal and Polyclonal Antibodies Research (24 papers). Gang Niu is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (46 papers), Cell Adhesion Molecules Research (31 papers) and Monoclonal and Polyclonal Antibodies Research (24 papers). Gang Niu collaborates with scholars based in United States, China and Fiji. Gang Niu's co-authors include Xiaohong Chen, Dale O. Kiesewetter, Jibin Song, Xiaoyuan Chen, Lisen Lin, Zijian Zhou, Zhèn Yáng, Yijing Liu, Ying Ma and Lixin Lang and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Gang Niu

139 papers receiving 9.2k citations

Hit Papers

Simultaneous Fenton‐like Ion Delivery and Glutathione Dep... 2017 2026 2020 2023 2018 2017 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Niu United States 55 3.5k 2.7k 2.6k 2.1k 1.8k 140 9.2k
Zibo Li United States 60 2.8k 0.8× 3.3k 1.2× 3.6k 1.4× 2.0k 1.0× 1.8k 1.0× 330 11.3k
Dale O. Kiesewetter United States 50 2.1k 0.6× 2.6k 1.0× 2.3k 0.9× 1.7k 0.8× 1.3k 0.7× 184 7.8k
Fan Wang China 43 1.6k 0.5× 2.2k 0.8× 1.6k 0.6× 1.7k 0.8× 713 0.4× 222 6.1k
Hao Hong United States 57 4.8k 1.4× 1.5k 0.6× 2.8k 1.1× 1.1k 0.5× 3.0k 1.6× 198 10.5k
Jan Grimm United States 48 3.1k 0.9× 1.9k 0.7× 2.8k 1.1× 1.4k 0.7× 1.4k 0.7× 139 9.0k
Mikako Ogawa Japan 42 3.5k 1.0× 1.3k 0.5× 2.6k 1.0× 768 0.4× 2.5k 1.3× 157 8.7k
Zhaofei Liu China 40 1.4k 0.4× 1.8k 0.7× 1.6k 0.6× 1.4k 0.7× 677 0.4× 119 5.0k
John W. Park United States 55 2.2k 0.6× 2.2k 0.8× 5.6k 2.1× 3.3k 1.6× 495 0.3× 130 11.2k
Christoph Bremer Germany 37 2.3k 0.7× 1.9k 0.7× 1.7k 0.6× 783 0.4× 752 0.4× 115 6.0k
Alexei Bogdanov United States 49 2.9k 0.8× 2.6k 1.0× 3.8k 1.4× 508 0.2× 1.6k 0.9× 241 9.7k

Countries citing papers authored by Gang Niu

Since Specialization
Citations

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

Fields of papers citing papers by Gang Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Niu. A scholar is included among the top collaborators of Gang Niu 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 Gang Niu. Gang Niu 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.
Fallah, Jaleh, Sundeep Agrawal, Haley Gittleman, et al.. (2022). FDA Approval Summary: Lutetium Lu 177 Vipivotide Tetraxetan for Patients with Metastatic Castration-Resistant Prostate Cancer. Clinical Cancer Research. 29(9). 1651–1657. 127 indexed citations breakdown →
2.
Zhou, Zijian, Hongzhang Deng, Weijing Yang, et al.. (2020). Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging. Nature Communications. 11(1). 3032–3032. 77 indexed citations
3.
Liu, Yijing, et al.. (2018). 化学動的療法を増強するためのMnO_2ベースのナノ剤による同時Fenton様イオン送達とグルタチオン枯渇【JST・京大機械翻訳】. Angewandte Chemie International Edition. 130(18). 4996–5000. 37 indexed citations
4.
Wu, Jiang, Shao‐Hua Wang, Xianzhong Zhang, et al.. (2018). 18F-Alfatide II PET/CT for Identification of Breast Cancer: A Preliminary Clinical Study. Journal of Nuclear Medicine. 59(12). 1809–1816. 38 indexed citations
5.
Zhang, Jingjing, Feng Mao, Gang Niu, et al.. (2018). Dual Gastrin-Releasing Peptide Receptor and Integrin αvβ3 targeting PET/CT using 68Ga-BBN-RGD in Patients with Breast Cancer. 59. 55–55. 1 indexed citations
7.
Nie, Liming, Peng Huang, Weitao Li, et al.. (2014). Early-Stage Imaging of Nanocarrier-Enhanced Chemotherapy Response in Living Subjects by Scalable Photoacoustic Microscopy. ACS Nano. 8(12). 12141–12150. 81 indexed citations
8.
Wu, Chenxi, Fang Li, Gang Niu, & Xiaohong Chen. (2013). PET Imaging of Inflammation Biomarkers. Theranostics. 3(7). 448–466. 149 indexed citations
9.
Guo, Jinxia, Lixin Lang, Shuo Hu, et al.. (2013). Comparison of Three Dimeric 18F-AlF-NOTA-RGD Tracers. Molecular Imaging and Biology. 16(2). 274–283. 41 indexed citations
10.
Zhu, Lei, Ning Guo, Quanzheng Li, et al.. (2012). Dynamic PET and Optical Imaging and Compartment Modeling using a Dual-labeled Cyclic RGD Peptide Probe. Theranostics. 2(8). 746–756. 29 indexed citations
11.
Kiesewetter, Dale O., Ning Guo, Jinxia Guo, et al.. (2012). Evaluation of an [18F]AlF-NOTA Analog of Exendin-4 for Imaging of GLP-1 Receptor in Insulinoma. Theranostics. 2(10). 999–1009. 60 indexed citations
12.
Niu, Gang & Xiaohong Chen. (2011). Why Integrin as a Primary Target for Imaging and Therapy. Theranostics. 1. 30–47. 152 indexed citations
13.
Lang, Lixin, Weihua Li, Ning Guo, et al.. (2011). Comparison Study of [18F]FAl-NOTA-PRGD2, [18F]FPPRGD2, and [68Ga]Ga-NOTA-PRGD2 for PET Imaging of U87MG Tumors in Mice. Bioconjugate Chemistry. 22(12). 2415–2422. 128 indexed citations
14.
Chen, Kai, Xilin Sun, Gang Niu, et al.. (2011). Evaluation of 64Cu Labeled GX1: A Phage Display Peptide Probe for PET Imaging of Tumor Vasculature. Molecular Imaging and Biology. 14(1). 96–105. 45 indexed citations
15.
Sun, Xilin, Gang Niu, Yongjun Yan, et al.. (2010). Phage Display–Derived Peptides for Osteosarcoma Imaging. Clinical Cancer Research. 16(16). 4268–4277. 34 indexed citations
16.
Niu, Gang, Xilin Sun, Qizhen Cao, et al.. (2010). Cetuximab-Based Immunotherapy and Radioimmunotherapy of Head and Neck Squamous Cell Carcinoma. Clinical Cancer Research. 16(7). 2095–2105. 84 indexed citations
17.
Jacobson, Orit, Lei Zhu, Gang Niu, et al.. (2010). MicroPET Imaging of Integrin αvβ3 Expressing Tumors Using 89Zr-RGD Peptides. Molecular Imaging and Biology. 13(6). 1224–1233. 48 indexed citations
18.
Niu, Gang, Zibo Li, Qizhen Cao, & Xiaoyuan Chen. (2009). Monitoring therapeutic response of human ovarian cancer to 17-DMAG by noninvasive PET imaging with 64Cu-DOTA-trastuzumab. European Journal of Nuclear Medicine and Molecular Imaging. 36(9). 1510–1519. 56 indexed citations
19.
Niu, Gang, Zibo Li, Jin Xie, Quynh‐Thu Le, & Xiaohong Chen. (2009). PET of EGFR Antibody Distribution in Head and Neck Squamous Cell Carcinoma Models. Journal of Nuclear Medicine. 50(7). 1116–1123. 99 indexed citations
20.
Veeravagu, Anand, Zhaofei Liu, Gang Niu, et al.. (2008). Integrin αvβ3-Targeted Radioimmunotherapy of Glioblastoma Multiforme. Clinical Cancer Research. 14(22). 7330–7339. 63 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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