Jifa Hu

559 total citations
12 papers, 440 citations indexed

About

Jifa Hu is a scholar working on Epidemiology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Jifa Hu has authored 12 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Clinical Biochemistry. Recurrent topics in Jifa Hu's work include Advanced Glycation End Products research (4 papers), Autophagy in Disease and Therapy (2 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). Jifa Hu is often cited by papers focused on Advanced Glycation End Products research (4 papers), Autophagy in Disease and Therapy (2 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). Jifa Hu collaborates with scholars based in China, Germany and United States. Jifa Hu's co-authors include Uta Dahmen, Yan Yang, Olaf Dirsch, Shenpei Liu, Xiaojing Jiang, Anding Liu, Haoshu Fang, Qi Hu, Jiankun Yang and Liang Huang and has published in prestigious journals such as Scientific Reports, Journal of Allergy and Clinical Immunology and European Journal of Pharmacology.

In The Last Decade

Jifa Hu

12 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jifa Hu China 11 154 102 77 71 68 12 440
Nur Samsu Indonesia 6 210 1.4× 78 0.8× 37 0.5× 62 0.9× 56 0.8× 26 689
Jihui Chen China 14 217 1.4× 45 0.4× 71 0.9× 48 0.7× 51 0.8× 35 536
Fujing Wang China 11 165 1.1× 63 0.6× 46 0.6× 43 0.6× 32 0.5× 24 381
Vajir Malek India 18 277 1.8× 78 0.8× 61 0.8× 84 1.2× 40 0.6× 28 764
Yuan-ye Qiu China 10 257 1.7× 115 1.1× 87 1.1× 52 0.7× 46 0.7× 13 535
Hua Lin China 15 205 1.3× 111 1.1× 44 0.6× 55 0.8× 81 1.2× 19 572
Bingbing Zhu China 14 238 1.5× 82 0.8× 38 0.5× 58 0.8× 31 0.5× 50 609
Jidong Cheng Japan 14 280 1.8× 128 1.3× 155 2.0× 65 0.9× 57 0.8× 31 702
Pei Zhao China 16 315 2.0× 82 0.8× 45 0.6× 39 0.5× 62 0.9× 38 594

Countries citing papers authored by Jifa Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jifa Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jifa Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jifa Hu. A scholar is included among the top collaborators of Jifa 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 Jifa Hu. Jifa Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Hu, Jifa, Na Hong, Ge Wu, et al.. (2022). Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources. Drug Safety. 45(5). 511–519. 28 indexed citations
2.
Wang, Zhenkun, et al.. (2021). Systematic Analysis of the Global, Regional and National Burden of Cardiovascular Diseases from 1990 to 2017. Journal of Epidemiology and Global Health. 12(1). 92–103. 23 indexed citations
3.
Feng, Jun, Bangjiang Fang, Daixing Zhou, et al.. (2021). Clinical Effect of Traditional Chinese Medicine Shenhuang Granule in Critically Ill Patients with COVID-19: A Single-Centered, Retrospective, Observational Study. Journal of Microbiology and Biotechnology. 31(3). 380–386. 16 indexed citations
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Sun, Jian, Jiankun Yang, Yan Yang, et al.. (2017). Carbon monoxide ameliorates hepatic ischemia/reperfusion injury via sirtuin 1‐mediated deacetylation of high‐mobility group box 1 in rats. Liver Transplantation. 23(4). 510–526. 30 indexed citations
7.
Liu, Anding, Liang Huang, Renlong Li, et al.. (2016). Baicalein pretreatment reduces liver ischemia/reperfusion injury via induction of autophagy in rats. Scientific Reports. 6(1). 25042–25042. 55 indexed citations
8.
He, Long, Fei Sun, Yi Wang, et al.. (2016). HMGB1 exacerbates bronchiolitis obliterans syndrome via RAGE/NF-κB/HPSE signaling to enhance latent TGF-β release from ECM.. PubMed. 8(5). 1971–84. 30 indexed citations
9.
Liu, Anding, Jiankun Yang, Renlong Li, et al.. (2016). Ischemic preconditioning attenuates ischemia/reperfusion injury in rat steatotic liver: role of heme oxygenase-1-mediated autophagy. Oncotarget. 7(48). 78372–78386. 24 indexed citations
10.
Liu, Anding, Wenjie Wang, Haoshu Fang, et al.. (2014). Baicalein protects against polymicrobial sepsis-induced liver injury via inhibition of inflammation and apoptosis in mice. European Journal of Pharmacology. 748. 45–53. 72 indexed citations
11.
Liu, Anding, Liang Huang, Hua Fan, et al.. (2014). Baicalein pretreatment protects against liver ischemia/reperfusion injury via inhibition of NF-κB pathway in mice. International Immunopharmacology. 24(1). 72–79. 45 indexed citations
12.
Zhang, Hui, Wenjie Wang, Haoshu Fang, et al.. (2014). GSK-3βInhibition Attenuates CLP-Induced Liver Injury by Reducing Inflammation and Hepatic Cell Apoptosis. Mediators of Inflammation. 2014. 1–10. 45 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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