Hongjuan Hu

616 total citations · 1 hit paper
22 papers, 406 citations indexed

About

Hongjuan Hu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pollution. According to data from OpenAlex, Hongjuan Hu has authored 22 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Pollution. Recurrent topics in Hongjuan Hu's work include Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Microbial Community Ecology and Physiology (2 papers) and Ferroptosis and cancer prognosis (2 papers). Hongjuan Hu is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Microbial Community Ecology and Physiology (2 papers) and Ferroptosis and cancer prognosis (2 papers). Hongjuan Hu collaborates with scholars based in China, United States and India. Hongjuan Hu's co-authors include Haiyan Chen, Juan Luo, Chenxi Wu, Xiong Xiong, Sanmei Chen, Xiaolin Lin, Qingyan Wang, Siyuan Tang, Xiaohong Ai and Liming Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The Science of The Total Environment.

In The Last Decade

Hongjuan Hu

22 papers receiving 406 citations

Hit Papers

Risk factors of postoperative delirium after cardiac surg... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongjuan Hu China 9 131 96 86 69 59 22 406
Luise Heinrich Germany 9 29 0.2× 80 0.8× 66 0.8× 80 1.2× 52 0.9× 17 448
Mang Sun China 11 59 0.5× 106 1.1× 92 1.1× 20 0.3× 97 1.6× 19 492
Véronique Leçon-Malas France 10 30 0.2× 193 2.0× 47 0.5× 17 0.2× 26 0.4× 12 557
Chia-Chi Lung Taiwan 15 15 0.1× 104 1.1× 33 0.4× 22 0.3× 25 0.4× 43 501
Muhan Li China 10 32 0.2× 51 0.5× 19 0.2× 12 0.2× 30 0.5× 51 303
Randy L. Schaffer United States 11 28 0.2× 52 0.5× 36 0.4× 23 0.3× 204 3.5× 16 671
Toshihiro Yamauchi Japan 10 61 0.5× 222 2.3× 39 0.5× 5 0.1× 18 0.3× 28 588
Julie Milot Canada 16 25 0.2× 107 1.1× 6 0.1× 92 1.3× 12 0.2× 29 777
James T. Wilson United States 14 36 0.3× 54 0.6× 20 0.2× 59 0.9× 5 0.1× 35 718
Paulina Farías Mexico 17 156 1.2× 73 0.8× 3 0.0× 12 0.2× 41 0.7× 35 1.2k

Countries citing papers authored by Hongjuan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Hongjuan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjuan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongjuan Hu. A scholar is included among the top collaborators of Hongjuan 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 Hongjuan Hu. Hongjuan 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.
Tang, Yamei, Haihong Hu, Bo Hao, et al.. (2025). Multi-omics analysis revealed the novel role of NQO1 in microenvironment, prognosis and immunotherapy of hepatocellular carcinoma. Scientific Reports. 15(1). 8591–8591. 2 indexed citations
2.
Zhu, Hongxia, Haihong Hu, Bo Hao, et al.. (2024). Insights into a Machine Learning-Based Palmitoylation-Related Gene Model for Predicting the Prognosis and Treatment Response of Breast Cancer Patients. Technology in Cancer Research & Treatment. 23. 2234005322–2234005322. 4 indexed citations
3.
Liu, Qian, Jia Jia, Hongjuan Hu, et al.. (2024). Nitrogen and phosphorus limitations promoted bacterial nitrate metabolism and propagation of antibiotic resistome in the phycosphere of Auxenochlorella pyrenoidosa. Journal of Hazardous Materials. 468. 133786–133786. 23 indexed citations
4.
Xiong, Xiong, et al.. (2024). Antibiotics in the rice-crayfish rotation pattern: Occurrence, prioritization, and resistance risk. The Science of The Total Environment. 928. 172540–172540. 2 indexed citations
5.
Xiong, Xiong, et al.. (2023). Occurrence, distribution, and ecological risks of antibiotics in Honghu Lake and surrounding aquaculture ponds, China. Environmental Science and Pollution Research. 30(17). 50732–50742. 26 indexed citations
6.
Hu, Haihong, Ming‐Xiang Zou, Hongjuan Hu, et al.. (2023). A breast cancer classification and immune landscape analysis based on cancer stem-cell-related risk panel. npj Precision Oncology. 7(1). 130–130. 7 indexed citations
7.
Zhou, Yang, et al.. (2023). Determinants of self-rated health among elderly patients with hypertension: a cross-sectional analysis based on the Chinese longitudinal healthy longevity survey. Clinical and Experimental Hypertension. 45(1). 2224942–2224942. 5 indexed citations
8.
Wang, Hui, Xiong Xiong, Kehuan Wang, et al.. (2023). The effects of land use on water quality of alpine rivers: A case study in Qilian Mountain, China. The Science of The Total Environment. 875. 162696–162696. 32 indexed citations
10.
Zhang, Tao‐Lan, Hongxia Zhu, Hongjuan Hu, et al.. (2023). Cardiovascular-specific mortality and risk factors in colorectal Cancer patients: A cohort study based on registry data of over 500,000 individuals in the US. Preventive Medicine. 179. 107796–107796. 5 indexed citations
11.
Hu, Hongjuan, et al.. (2023). Cancer Patients with Venous Access Device Status and Influencing Factors of Path Analysis Decision Conflicts.. PubMed. 29(6). 187–191. 1 indexed citations
12.
Zhai, Yue, et al.. (2021). Research on Characteristics of Tracked Vehicle Steering on Slope. Mathematical Problems in Engineering. 2021. 1–18. 10 indexed citations
13.
Xia, Yu, et al.. (2021). Calycosin Alleviates Sepsis-Induced Acute Lung Injury via the Inhibition of Mitochondrial ROS-Mediated Inflammasome Activation. Frontiers in Pharmacology. 12. 690549–690549. 29 indexed citations
14.
Chen, Haiyan, et al.. (2021). Risk factors of postoperative delirium after cardiac surgery: a meta-analysis. Journal of Cardiothoracic Surgery. 16(1). 113–113. 141 indexed citations breakdown →
15.
Liu, Feng, Hongjuan Hu, Jianfu Zhao, et al.. (2018). miR‑124‑3p acts as a potential marker and suppresses tumor growth in gastric cancer. Biomedical Reports. 9(2). 147–155. 33 indexed citations
17.
Fu, Xingli, Fang Zheng, Feng Yu, et al.. (2016). Mesenchymal stem cells promote pancreatic adenocarcinoma cells invasion by transforming growth factor-β1 induced epithelial-mesenchymal transition. Oncotarget. 7(27). 41294–41305. 19 indexed citations
18.
Hu, Hongjuan, et al.. (2015). Upregulation of Sestrin2 Expression Protects Against Macrophage Apoptosis Induced by Oxidized Low-Density Lipoprotein. DNA and Cell Biology. 34(4). 296–302. 38 indexed citations
19.
Hu, Hongjuan, et al.. (2014). GW25-e1517 Blood Pressure Circadian Rhythm Impact on Early-stage Renal Damage in Patients with Hypertension. Journal of the American College of Cardiology. 64(16). C175–C175. 1 indexed citations
20.
Shi, Zeya, Siyuan Tang, Bo Jiang, et al.. (2013). Prevalence of stress hyperglycemia among hepatopancreatobiliary postoperative patients.. PubMed. 6(9). 799–803. 6 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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