Bing Hao

1.6k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Bing Hao is a scholar working on Surgery, Oncology and Cancer Research. According to data from OpenAlex, Bing Hao has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Bing Hao's work include Peptidase Inhibition and Analysis (10 papers), Protease and Inhibitor Mechanisms (9 papers) and Cardiac Structural Anomalies and Repair (7 papers). Bing Hao is often cited by papers focused on Peptidase Inhibition and Analysis (10 papers), Protease and Inhibitor Mechanisms (9 papers) and Cardiac Structural Anomalies and Repair (7 papers). Bing Hao collaborates with scholars based in China and Japan. Bing Hao's co-authors include Haojun Chen, Long Sun, Yizhen Pang, Hua Wu, Liang Zhao, Qin Lin, Zuoming Luo, Jingxun Wu, Chengrong Xie and Long Zhao and has published in prestigious journals such as Biochemistry, Radiology and Analytica Chimica Acta.

In The Last Decade

Bing Hao

26 papers receiving 1.2k citations

Hit Papers

Comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F] FDG PET/CT ... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Hao China 12 969 636 560 275 160 27 1.2k
Haiqun Xing China 16 406 0.4× 203 0.3× 252 0.5× 226 0.8× 50 0.3× 41 774
Naohito Yamamoto Japan 16 405 0.4× 272 0.4× 189 0.3× 106 0.4× 15 0.1× 75 892
Xiaoshun Shi China 17 418 0.4× 297 0.5× 212 0.4× 148 0.5× 20 0.1× 46 1.2k
Aya Kawamoto Japan 16 387 0.4× 193 0.3× 218 0.4× 35 0.1× 45 0.3× 37 834
Hong‐Gyun Wu South Korea 21 336 0.3× 115 0.2× 347 0.6× 277 1.0× 23 0.1× 113 1.3k
Saila Kauhanen Finland 14 468 0.5× 129 0.2× 344 0.6× 265 1.0× 12 0.1× 26 1.0k
Gang Shen China 15 217 0.2× 230 0.4× 284 0.5× 44 0.2× 36 0.2× 72 1.1k
Jianhong Peng China 18 559 0.6× 352 0.6× 263 0.5× 53 0.2× 10 0.1× 95 1.2k
Osamu Kawashima Japan 23 464 0.5× 162 0.3× 345 0.6× 110 0.4× 20 0.1× 125 1.4k
Paul N. Staats United States 20 199 0.2× 126 0.2× 194 0.3× 61 0.2× 36 0.2× 61 1.0k

Countries citing papers authored by Bing Hao

Since Specialization
Citations

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

Fields of papers citing papers by Bing Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Hao. A scholar is included among the top collaborators of Bing Hao 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 Bing Hao. Bing Hao 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.
Yin, Yu, Juhua Zhuang, Wei Chen, et al.. (2025). Study on the transformation law of anthraquinones in rhubarb combined with licorice based on biopharmaceutics. Fitoterapia. 182. 106429–106429.
2.
Hao, Bing, Weihao Xu, Wei Gao, et al.. (2023). Association between Frailty Assessed Using Two Electronic Medical Record-Based Frailty Assessment Tools and Long-Term Adverse Prognosis in Older Critically Ill Survivors. The journal of nutrition health & aging. 27(8). 649–655. 6 indexed citations
3.
Shang, Qihang, Bing Hao, Weizhi Xu, et al.. (2022). 68Ga-FAPI PET/CT detected non-FDG-avid bone metastases in breast cancer. European Journal of Nuclear Medicine and Molecular Imaging. 49(6). 2096–2097. 10 indexed citations
4.
Pang, Yizhen, Liang Zhao, Zuoming Luo, et al.. (2020). Comparison of 68Ga-FAPI and 18F-FDG Uptake in Gastric, Duodenal, and Colorectal Cancers. Radiology. 298(2). 393–402. 197 indexed citations
5.
Pang, Yizhen, Bing Hao, Qihang Shang, Long Sun, & Haojun Chen. (2020). Comparison of 68Ga-FAPI and 18F-FDG PET/CT in a Patient With Cholangiocellular Carcinoma. Clinical Nuclear Medicine. 45(7). 566–567. 24 indexed citations
6.
Chen, Haojun, Liang Zhao, Dan Ruan, et al.. (2020). Usefulness of [68Ga]Ga-DOTA-FAPI-04 PET/CT in patients presenting with inconclusive [18F]FDG PET/CT findings. European Journal of Nuclear Medicine and Molecular Imaging. 48(1). 73–86. 172 indexed citations
7.
Hao, Bing, Xiurong Wu, Yizhen Pang, et al.. (2020). [18F]FDG and [68Ga]Ga-DOTA-FAPI-04 PET/CT in the evaluation of tuberculous lesions. European Journal of Nuclear Medicine and Molecular Imaging. 48(2). 651–652. 46 indexed citations
8.
Chen, Haojun, Yizhen Pang, Jingxun Wu, et al.. (2020). Comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F] FDG PET/CT for the diagnosis of primary and metastatic lesions in patients with various types of cancer. European Journal of Nuclear Medicine and Molecular Imaging. 47(8). 1820–1832. 398 indexed citations breakdown →
9.
Guo, Wei, Yizhen Pang, Liang Zhao, et al.. (2020). Imaging fibroblast activation protein in liver cancer: a single-center post hoc retrospective analysis to compare [68Ga]Ga-FAPI-04 PET/CT versus MRI and [18F]-FDG PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 48(5). 1604–1617. 123 indexed citations
11.
Xie, Guizhong, Ke Li, Yudong Zhong, et al.. (2020). A systematic derived sinh based method for singular and nearly singular boundary integrals. Engineering Analysis with Boundary Elements. 123. 147–153. 8 indexed citations
12.
Xu, Xiangming, Yufei Xiao, Bo Hong, Bing Hao, & Yun Qian. (2019). Combined detection of CA19-9 and B7-H4 in the diagnosis and prognosis of pancreatic cancer. Cancer Biomarkers. 25(3). 251–257. 11 indexed citations
13.
Guo, Wei, Bing Hao, Nana Luo, et al.. (2018). Early re-staging and molecular subtype shift surveillance of locally recurrent or metastatic breast cancer: A new PET/CT integrated precise algorithm. Cancer Letters. 418. 221–229. 9 indexed citations
15.
Fu, Hao, Hua Wu, Xianzhong Zhang, et al.. (2017). Pre-clinical study of a TNFR1-targeted 18F probe for PET imaging of breast cancer. Amino Acids. 50(3-4). 409–419. 10 indexed citations
17.
Guo, Wei, Bing Hao, Haojun Chen, et al.. (2016). PET/CT-guided percutaneous biopsy of FDG-avid metastatic bone lesions in patients with advanced lung cancer: a safe and effective technique. European Journal of Nuclear Medicine and Molecular Imaging. 44(1). 25–32. 39 indexed citations
18.
Hao, Bing, Wei Guo, Hao Fu, et al.. (2016). Metabolic imaging for guidance of curative treatment of isolated pelvic implantation metastasis after resection of spontaneously ruptured hepatocellular carcinoma: A case report. World Journal of Gastroenterology. 22(41). 9242–9242. 1 indexed citations
19.
Wang, Xing, Zhang We, Liu-Yin Fan, et al.. (2007). Sensitive quantitative determination of oxymatrine and matrine in rat plasma by capillary electrophoresis with stacking induced by moving reaction boundary. Analytica Chimica Acta. 594(2). 290–296. 42 indexed citations
20.
Hao, Bing. (2003). Helicobacter pylori Infection, Telomerase Activity and the Expression of c-myc and p16 Genes in the Process of Gastric Tumorigenesis. Weichangbingxue. 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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