Guohua Shen

2.0k total citations
86 papers, 1.5k citations indexed

About

Guohua Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Guohua Shen has authored 86 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Pulmonary and Respiratory Medicine and 22 papers in Oncology. Recurrent topics in Guohua Shen's work include Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Imaging and Pathology Studies (8 papers). Guohua Shen is often cited by papers focused on Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Imaging and Pathology Studies (8 papers). Guohua Shen collaborates with scholars based in China, United States and Brazil. Guohua Shen's co-authors include Zhiyun Jia, Shuang Hu, Houfu Deng, Anren Kuang, Chi Chen, Rong Hu, Vidya Hebbar, Angela Kong, Edward D. Owuor and Rong Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemical Communications.

In The Last Decade

Guohua Shen

78 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohua Shen China 19 456 449 295 284 204 86 1.5k
Khalid Amin United States 21 243 0.5× 209 0.5× 767 2.6× 419 1.5× 104 0.5× 115 2.2k
Kevin West United Kingdom 19 142 0.3× 131 0.3× 484 1.6× 370 1.3× 178 0.9× 41 1.6k
Nicola Maurea Italy 31 315 0.7× 199 0.4× 666 2.3× 967 3.4× 180 0.9× 162 2.6k
Yasumasa Okazaki Japan 26 723 1.6× 328 0.7× 834 2.8× 155 0.5× 60 0.3× 82 2.5k
Takanori Miyoshi Japan 22 401 0.9× 90 0.2× 411 1.4× 328 1.2× 93 0.5× 99 1.7k
Rosario Vincenzo Iaffaioli Italy 24 304 0.7× 83 0.2× 424 1.4× 651 2.3× 142 0.7× 53 1.5k
Katarzyna Wójcik‐Pszczoła Poland 20 265 0.6× 208 0.5× 503 1.7× 134 0.5× 71 0.3× 71 1.5k
Taku Naiki Japan 29 545 1.2× 109 0.2× 776 2.6× 301 1.1× 135 0.7× 183 2.6k
Brian K. Rivera United States 23 369 0.8× 226 0.5× 443 1.5× 224 0.8× 128 0.6× 52 1.5k

Countries citing papers authored by Guohua Shen

Since Specialization
Citations

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

Fields of papers citing papers by Guohua Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohua Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Guohua Shen. A scholar is included among the top collaborators of Guohua Shen 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 Guohua Shen. Guohua Shen 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.
Huang, Mingxing, et al.. (2025). Head-to-Head Comparison of 68Ga-PentixaFor PET/CT and FDG PET/CT for Detecting Hematologic and Solid Cancers: A Systematic Review and Meta-Analysis. American Journal of Roentgenology. 225(2). e2532708–e2532708.
2.
Peng, Chao, et al.. (2025). Electro-dewatering of sludge using tip electrodes: Influence of operating conditions and mechanism of dewatering. Journal of environmental chemical engineering. 13(3). 116738–116738. 1 indexed citations
3.
Zhang, Xiaoyang, Siming Zhou, Jie Li, et al.. (2024). Pretargeted radiotherapy and synergistic treatment of metastatic, castration-resistant prostate cancer using cross-linked, PSMA-targeted lipoic acid nanoparticles. Journal of Materials Chemistry B. 12(9). 2324–2333. 3 indexed citations
4.
Shen, Guohua, et al.. (2024). [68Ga]Ga-FAPI versus [18F]FDG PET/CT in the evaluation of Langerhans cell histiocytosis. European Journal of Nuclear Medicine and Molecular Imaging. 51(8). 2520–2521. 1 indexed citations
5.
Huang, Zhiqiu, et al.. (2023). ASTSDL: predicting the functionality of incomplete programming code via an AST-sequence-based deep learning model. Science China Information Sciences. 67(1). 1 indexed citations
6.
Shen, Guohua, et al.. (2021). Axillary Glomus Tumor Revealed by FDG PET/CT. Clinical Nuclear Medicine. 46(10). 837–839. 2 indexed citations
7.
Xu, Hui, Guohua Shen, Cheng Peng, et al.. (2021). BODIPY-based fluorescent probe for selective detection of HSA in urine. Dyes and Pigments. 197. 109915–109915. 30 indexed citations
8.
Ma, Huan, Feize Li, Guohua Shen, et al.. (2021). Synthesis and Preliminary Evaluation of 131I-Labeled FAPI Tracers for Cancer Theranostics. Molecular Pharmaceutics. 18(11). 4179–4187. 44 indexed citations
9.
Shen, Guohua & Anren Kuang. (2020). Ovarian Inflammation Mass Mimicking Recurrent Rectal Cancer 17 Years After Surgery. Clinical Nuclear Medicine. 46(9). 781–782.
10.
Shen, Guohua, Huan Ma, Rui Huang, & Anren Kuang. (2019). Predicting large-volume lymph node metastasis in the clinically node-negative papillary thyroid microcarcinoma: a retrospective study. Nuclear Medicine Communications. 41(1). 5–10. 13 indexed citations
11.
Shen, Guohua, et al.. (2018). The BRAFV600E mutation in papillary thyroid microcarcinoma with intermediate-risk to high-risk features. Nuclear Medicine Communications. 40(1). 8–13. 6 indexed citations
12.
Shen, Guohua, Minggang Su, Bin Liu, & Anren Kuang. (2018). A Case of Tophaceous Pseudogout on 18F-FDG PET/CT Imaging. Clinical Nuclear Medicine. 44(2). e98–e100. 8 indexed citations
14.
Shen, Guohua, Shuang Hu, Bin Liu, & Anren Kuang. (2016). Diagnostic Performance of Whole-Body PET/MRI for Detecting Malignancies in Cancer Patients: A Meta-Analysis. PLoS ONE. 11(4). e0154497–e0154497. 9 indexed citations
15.
Shen, Guohua, et al.. (2015). Primary glioblastoma of the cerebellar vermis: A case report. Oncology Letters. 10(1). 402–404. 3 indexed citations
16.
Hu, Shuang, Jia Guo, Ting Ji, Guohua Shen, & Anren Kuang. (2015). Multifocal osteoarticular tuberculosis of the extremities in an immunocompetent young man without pulmonary disease: A case report. Experimental and Therapeutic Medicine. 9(6). 2299–2302. 8 indexed citations
17.
Shen, Guohua, Houfu Deng, Shuang Hu, & Zhiyun Jia. (2014). Potential performance of dual-time-point 18F-FDG PET/CT compared with single-time-point imaging for differential diagnosis of metastatic lymph nodes. Nuclear Medicine Communications. 35(10). 1003–1010. 7 indexed citations
18.
Wu, Jinglei, Hua Wang, Liangjie Fu, et al.. (2004). Detection of catechin based on its electrochemical autoxidation. Talanta. 65(2). 511–517. 22 indexed citations
19.
Chen, Chi, Guohua Shen, Vidya Hebbar, et al.. (2003). Epigallocatechin-3-gallate-induced stress signals in HT-29 human colon adenocarcinoma cells. Carcinogenesis. 24(8). 1369–1378. 203 indexed citations
20.
Wang, Ji & Guohua Shen. (1980). THE PRIMARY PRODUCTION OF THE PHYTOPLANKTON OF LAKE DONGHU AND ITS CORRELATION WITH VARIOUS ECOLOGICAL FACTORS. Acta Hydrobiologica Sinica. 7(3). 295–312. 4 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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