Hong Shu

1.8k total citations
94 papers, 1.4k citations indexed

About

Hong Shu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hong Shu has authored 94 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 18 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Hong Shu's work include Glycosylation and Glycoproteins Research (10 papers), MicroRNA in disease regulation (8 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Hong Shu is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), MicroRNA in disease regulation (8 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Hong Shu collaborates with scholars based in China, United States and Australia. Hong Shu's co-authors include Yupei Zhao, Yinkun Liu, Thomas L. McCarthy, Taiping Zhang, Peter Rotwein, Lei You, Xiaonan Kang, Haojie Lu, Li Zhou and Yutaka Umayahara and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hong Shu

88 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Shu China 22 780 309 245 177 146 94 1.4k
Manoj Kumar Kashyap United States 23 792 1.0× 178 0.6× 298 1.2× 171 1.0× 134 0.9× 57 1.3k
Alberto Benito‐Martín Spain 22 934 1.2× 379 1.2× 200 0.8× 128 0.7× 167 1.1× 41 1.7k
Yingyu Ma United States 23 846 1.1× 479 1.6× 346 1.4× 117 0.7× 112 0.8× 43 1.7k
Tatyana Vlaykova Bulgaria 21 651 0.8× 297 1.0× 516 2.1× 117 0.7× 85 0.6× 92 1.5k
Dil Afroze India 17 492 0.6× 192 0.6× 191 0.8× 104 0.6× 136 0.9× 53 997
Yujun Shen China 22 498 0.6× 151 0.5× 111 0.5× 157 0.9× 124 0.8× 52 1.3k
Wen-Jia Chen China 23 996 1.3× 523 1.7× 345 1.4× 192 1.1× 154 1.1× 101 1.6k
Youqi Han Canada 12 776 1.0× 288 0.9× 196 0.8× 127 0.7× 74 0.5× 16 1.4k
Joo Heon Kim South Korea 21 773 1.0× 294 1.0× 411 1.7× 300 1.7× 202 1.4× 60 1.4k

Countries citing papers authored by Hong Shu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Shu. A scholar is included among the top collaborators of Hong Shu 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 Hong Shu. Hong Shu 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.
2.
Zhang, Lili, Hui Yang, Pu Li, et al.. (2025). Genomic Profiling and Virulence Characterization of Cronobacter sakazakii Strains Isolated from Powdered Spices and Instant Cereals in Nanning, China. Foodborne Pathogens and Disease. fpd20240180–fpd20240180. 1 indexed citations
3.
Xiao, Jinsheng, Hang Liu, Jun Yao, et al.. (2024). The characterization of serum proteomics and metabolomics across the cancer trajectory in chronic hepatitis B‐related liver diseases. SHILAP Revista de lepidopterología. 5(6). 10 indexed citations
4.
Wang, Ying, et al.. (2024). Nomogram for Predicting Postoperative Pulmonary Metastasis in Hepatocellular Carcinoma Based on Inflammatory Markers. Cancer Control. 31. 2925654381–2925654381. 1 indexed citations
5.
Shu, Hong, et al.. (2024). Ultrasound-mediated nanobubbles loaded with STAT6 siRNA inhibit TGF-β1-EMT axis in LUSC cells via overcoming the polarization of M2-TAMs. European Journal of Pharmaceutical Sciences. 202. 106894–106894. 1 indexed citations
6.
Li, Hui, Yao Zhang, Qian Feng, et al.. (2023). PLGA-PEI nanobubbles carrying PDLIM5 siRNA inhibit EGFR-TKI-resistant NSCLC cell migration and invasion ability using UTND technology. Journal of Drug Delivery Science and Technology. 82. 104346–104346. 3 indexed citations
7.
Yuliana, Maria, Suryadi Ismadji, Sandy Budi Hartono, et al.. (2023). Utilization of APTES-functionalized coconut waste-based cellulose microfiber/zeolitic-imidazolate framework-8 composite for curcumin delivery. Materials Today Sustainability. 21. 100332–100332. 3 indexed citations
8.
9.
Li, Hui, Hong Shu, Hong Zhang, et al.. (2022). Multisegmental Hypoganglionosis: A Rare Cause of Recurrent Bowel Obstruction and Intestinal Ulcers. Inflammatory Bowel Diseases. 28(7). e104–e105. 1 indexed citations
10.
Zhang, Yao, Hui Li, Tiantian Dong, et al.. (2022). Exploring the relationship between autophagy and Gefitinib resistance in NSCLC by silencing PDLIM5 using ultrasound-targeted microbubble destruction technology. Cancer Cell International. 22(1). 293–293. 6 indexed citations
11.
Wang, Yingying, et al.. (2019). Clinical epidemiology of renal disease in Gansu province base on 1828 renal biopsy data. 35(3). 212–214. 1 indexed citations
12.
Sun, Ying, Jiatong Li, Hong Shu, Zhili Li, & Jiaming Qian. (2019). Serum immunoinflammation-related protein complexes discriminate between inflammatory bowel disease and colorectal cancer. Clinical & Translational Oncology. 21(12). 1680–1686. 9 indexed citations
13.
Du, Yongxing, Ziwen Liu, Lei You, et al.. (2017). Pancreatic Cancer Progression Relies upon Mutant p53-Induced Oncogenic Signaling Mediated by NOP14. Cancer Research. 77(10). 2661–2673. 37 indexed citations
14.
Li, Qi, Lei Wang, Shinong Pan, et al.. (2016). Skeletal muscle metastases on magnetic resonance imaging: analysis of 31 cases. Współczesna Onkologia. 3(3). 242–250. 6 indexed citations
15.
Shu, Hong. (2014). Studies on chromosome karyotype,Ag-NORs and C-banding patterns of wild Ctenopharyngodon idellus and Squaliobarbus curriculus in the Pearl River. Journal of Guangzhou University.
16.
Guo, Junchao, Jian Li, Yu-pei Zhao, et al.. (2014). N-WASP in Pancreatic Ductal Adenocarcinoma: Associations with Perineural Invasion and Poor Prognosis. World Journal of Surgery. 38(8). 2126–2131. 18 indexed citations
17.
Zhao, Yupei, Taiping Zhang, Li Zhou, et al.. (2013). Alteration of the Intrinsic Apoptosis Pathway Is Involved in Notch-induced Chemoresistance to Gemcitabine in Pancreatic Cancer. Archives of Medical Research. 45(1). 15–20. 15 indexed citations
18.
Xu, Lai, Weibin Wang, Yupei Zhao, et al.. (2012). Medullary thyroid carcinoma with nodular goiter carries an excellent prognosis. Journal of Surgical Oncology. 106(2). 169–173. 7 indexed citations
19.
Chen, Weiyun, Wenjing Liu, Yupei Zhao, et al.. (2012). Induction, modulation and potential targets of miR-210 in pancreatic cancer cells. Hepatobiliary & pancreatic diseases international. 11(3). 319–324. 37 indexed citations
20.
Zhang, Shu, Hong Shu, Kaixuan Luo, et al.. (2011). N -linked glycan changes of serum haptoglobin β chain in liver disease patients. Molecular BioSystems. 7(5). 1621–1628. 49 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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