Kongzhen Hu

1.4k total citations · 1 hit paper
64 papers, 918 citations indexed

About

Kongzhen Hu is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Kongzhen Hu has authored 64 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 31 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Molecular Biology. Recurrent topics in Kongzhen Hu's work include Peptidase Inhibition and Analysis (28 papers), Radiopharmaceutical Chemistry and Applications (22 papers) and Medical Imaging Techniques and Applications (14 papers). Kongzhen Hu is often cited by papers focused on Peptidase Inhibition and Analysis (28 papers), Radiopharmaceutical Chemistry and Applications (22 papers) and Medical Imaging Techniques and Applications (14 papers). Kongzhen Hu collaborates with scholars based in China and United States. Kongzhen Hu's co-authors include Shun Huang, Hubing Wu, Yanjiang Han, Hongsheng Li, Ganghua Tang, Lijuan Wang, Liang Xiang, Ganghua Tang, Hongliang Wang and Ganghua Tang and has published in prestigious journals such as PLoS ONE, Radiology and Chemical Engineering Journal.

In The Last Decade

Kongzhen Hu

60 papers receiving 912 citations

Hit Papers

Comparison of 68Ga-FAPI and 18F-FDG PET/CT in the Evaluat... 2022 2026 2023 2024 2022 25 50 75 100
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.

  1. Comparison of 68Ga-FAPI and 18F-FDG PET/CT in the Evaluation of Advanced Lung Cancer
    2022 117 citations Lijuan Wang, Ganghua Tang et al. Radiology profile →

Peers

Kongzhen Hu
Aileen Hoehne United States
Hans‐Jörg Breyholz Germany
Susan Richter Germany
Frank Osterkamp Germany
Samuele Cazzamalli Switzerland
Fook-Thean Lee Australia
Matthias Friebe Germany
Muriel Busson France
Ganghua Tang China
Efstathia Giannopoulou Greece
Aileen Hoehne United States
Kongzhen Hu
Citations per year, relative to Kongzhen Hu Kongzhen Hu (= 1×) peers Aileen Hoehne

Countries citing papers authored by Kongzhen Hu

Since Specialization
Citations

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

Fields of papers citing papers by Kongzhen Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kongzhen Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Kongzhen Hu. A scholar is included among the top collaborators of Kongzhen Hu 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 Kongzhen Hu. Kongzhen Hu 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.
Zhao, Yongsheng, et al.. (2026). Development of CAIX-targeted radioligand theranostic pairs for clear cell renal cell carcinoma. Chemical Engineering Journal. 532. 174381–174381.
2.
Li, Baoyuan, et al.. (2025). Development of novel 18F-labelled FAP-targeting tracers with improved pharmacokinetics: From preclinical optimization to clinical translation. European Journal of Medicinal Chemistry. 300. 118152–118152.
3.
Tang, Ganghua, et al.. (2024). Synthesis and preclinical evaluation of a novel PET/fluorescence dual-modality probe targeting fibroblast activation protein. Bioorganic Chemistry. 146. 107275–107275. 9 indexed citations
4.
Zhou, Hui, et al.. (2024). Development of ibuprofen-modified fibroblast activation protein radioligands to improve cancer therapy. European Journal of Medicinal Chemistry. 283. 117115–117115. 3 indexed citations
5.
Peng, Simin, et al.. (2024). Cerebral [18F]AIF-FAPI-42-Based PET Imaging of Fibroblast Activation Protein for Non-invasive Quantification of Fibrosis After Ischemic Stroke. Translational Stroke Research. 16(3). 848–858. 1 indexed citations
6.
Liu, Qingxing, Fei Xie, Yanjiang Han, et al.. (2023). Radiosynthesis, preclinical evaluation and pilot clinical PET imaging study of a 18F-labeled tracer targeting fibroblast activation protein. Bioorganic Chemistry. 141. 106878–106878. 7 indexed citations
7.
Yang, Xiaoqiang, et al.. (2023). Formulation and Preclinical Testing of Tc-99m-Labeled HYNIC-Glc-FAPT as a FAP-Targeting Tumor Radiotracer. Bioconjugate Chemistry. 34(11). 2133–2143. 7 indexed citations
8.
9.
Wang, Lijuan, Ganghua Tang, Kongzhen Hu, et al.. (2022). Comparison of 68Ga-FAPI and 18F-FDG PET/CT in the Evaluation of Advanced Lung Cancer. Radiology. 303(1). 191–199. 117 indexed citations breakdown →
10.
Han, Yanjiang, Kongzhen Hu, Shun Huang, et al.. (2022). Synthesis and biological evaluation of Al[18F]-NOTA-IPB-PDL1P as a molecular probe for PET imaging of PD-L1 positive tumors. Bioorganic Chemistry. 122. 105682–105682. 17 indexed citations
11.
Zhou, Wenlan, Shun Huang, Yan‐Ping Jiang, et al.. (2021). Automatic radiosynthesis and preclinical evaluation of 18F-AlF-PSMA-NF as a potential PET probe for prostate cancer imaging. Amino Acids. 53(6). 929–938. 4 indexed citations
12.
Huang, Yong, et al.. (2021). Synthesis and preclinical evaluation of an Al18F radiofluorinated bivalent PSMA ligand. European Journal of Medicinal Chemistry. 221. 113502–113502. 23 indexed citations
13.
Hu, Kongzhen, Lijuan Wang, Hubing Wu, et al.. (2021). [18F]FAPI-42 PET imaging in cancer patients: optimal acquisition time, biodistribution, and comparison with [68Ga]Ga-FAPI-04. European Journal of Nuclear Medicine and Molecular Imaging. 49(8). 2833–2843. 83 indexed citations
14.
Hu, Kongzhen, Lei Bi, Hong Wu, et al.. (2021). Noninvasively visualize the expression of LAPTM4B protein using a novel 18F-labeled peptide PET probe in hepatocellular carcinoma. Nuclear Medicine and Biology. 100-101. 52–60.
15.
Huang, Shun, et al.. (2020). Automated radiosynthesis and preclinical evaluation of Al[18F]F-NOTA-P-GnRH for PET imaging of GnRH receptor-positive tumors. Nuclear Medicine and Biology. 82-83. 64–71. 10 indexed citations
16.
Zhang, Jun, Jiamei Gu, Kongzhen Hu, et al.. (2019). Radiofluorinated GPC3-Binding Peptides for PET Imaging of Hepatocellular Carcinoma. Molecular Imaging and Biology. 22(1). 134–143. 27 indexed citations
17.
18.
Hu, Kongzhen, Xiaolan Tang, Ganghua Tang, et al.. (2015). 18F-FP-PEG2-β-Glu-RGD2: A Symmetric Integrin αvβ3-Targeting Radiotracer for Tumor PET Imaging. PLoS ONE. 10(9). e0138675–e0138675. 11 indexed citations
19.
Tang, Ganghua, Kongzhen Hu, Hongliang Wang, et al.. (2013). Radiosynthesis and biological evaluation of 5-(3-[18F]Fluoropropyloxy)-L-tryptophan for tumor PET imaging. Nuclear Medicine and Biology. 40(6). 801–807. 14 indexed citations
20.
Hu, Kongzhen, Hongliang Wang, & Ganghua Tang. (2012). Progress of the methods for 18 F-labeled peptides. 25(4). 243–252.

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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