Ji‐Fan Hu

8.2k total citations
145 papers, 6.3k citations indexed

About

Ji‐Fan Hu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ji‐Fan Hu has authored 145 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 48 papers in Genetics and 45 papers in Cancer Research. Recurrent topics in Ji‐Fan Hu's work include Epigenetics and DNA Methylation (39 papers), Genetic Syndromes and Imprinting (37 papers) and RNA modifications and cancer (34 papers). Ji‐Fan Hu is often cited by papers focused on Epigenetics and DNA Methylation (39 papers), Genetic Syndromes and Imprinting (37 papers) and RNA modifications and cancer (34 papers). Ji‐Fan Hu collaborates with scholars based in United States, China and United Kingdom. Ji‐Fan Hu's co-authors include Andrew R. Hoffman, Thanh Vu, Jiuwei Cui, Gary A. Ulaner, Tao Li, L.C. Giudice, Linda C. Giudice, Huiling Chen, Guanjun Wang and Lei Zhou and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ji‐Fan Hu

143 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji‐Fan Hu United States 44 4.6k 1.8k 1.4k 875 546 145 6.3k
Jaroslav Jelı́nek United States 49 5.8k 1.3× 1.3k 0.7× 980 0.7× 484 0.6× 1.1k 2.0× 159 8.3k
Tim M. Townes United States 45 5.7k 1.2× 439 0.2× 1.4k 1.0× 1.2k 1.4× 559 1.0× 96 8.0k
Neil V. Morgan United Kingdom 42 3.0k 0.6× 1.0k 0.6× 1.0k 0.7× 223 0.3× 505 0.9× 109 5.7k
Jean‐Jacques Feige France 52 4.4k 1.0× 1.5k 0.8× 664 0.5× 363 0.4× 734 1.3× 198 8.4k
Louis Dubeau United States 42 3.3k 0.7× 904 0.5× 819 0.6× 444 0.5× 979 1.8× 102 5.7k
Guntram Suske Germany 42 5.8k 1.3× 820 0.4× 1.2k 0.8× 439 0.5× 1.0k 1.8× 89 7.8k
Salvatore Oliviero Italy 45 5.3k 1.2× 1.2k 0.7× 516 0.4× 312 0.4× 1.2k 2.3× 123 7.0k
Shaw‐Jenq Tsai Taiwan 47 2.9k 0.6× 1.7k 1.0× 1.1k 0.8× 283 0.3× 352 0.6× 141 6.6k
Jeong‐Sun Seo South Korea 34 2.5k 0.5× 807 0.4× 675 0.5× 271 0.3× 807 1.5× 106 4.5k
Susan E. Crawford United States 31 3.7k 0.8× 1.1k 0.6× 659 0.5× 442 0.5× 832 1.5× 92 5.9k

Countries citing papers authored by Ji‐Fan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Fan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji‐Fan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Fan Hu. A scholar is included among the top collaborators of Ji‐Fan 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 Ji‐Fan Hu. Ji‐Fan 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.
2.
Liu, Yudi, Fangqi Li, Ji‐Fan Hu, & Jiuwei Cui. (2024). The application of immunonutrition in patients with cancer: current status and future perspectives. 3(1). 2 indexed citations
3.
Sun, Jingnan, et al.. (2023). Mechanisms underlying therapeutic resistance of tyrosine kinase inhibitors in chronic myeloid leukemia. International Journal of Biological Sciences. 20(1). 175–181. 14 indexed citations
4.
Zhao, Hongguang, et al.. (2022). Hypoxia-responsive circRNAs: A novel but important participant in non-coding RNAs ushered toward tumor hypoxia. Cell Death and Disease. 13(8). 666–666. 16 indexed citations
5.
Guo, Feifei, Lingyu Li, Yang Wang, Ji‐Fan Hu, & Jiuwei Cui. (2021). Long noncoding RNA: A resident staff of genomic instability regulation in tumorigenesis. Cancer Letters. 503. 103–109. 8 indexed citations
6.
Wang, Yizhuo, et al.. (2020). LncRNA Functions as a New Emerging Epigenetic Factor in Determining the Fate of Stem Cells. Frontiers in Genetics. 11. 277–277. 70 indexed citations
7.
Chen, Naifei, Gang Zhao, Yan Xu, et al.. (2018). A novel FLI1 exonic circular RNA promotes metastasis in breast cancer by coordinately regulating TET1 and DNMT1. Genome biology. 19(1). 218–218. 328 indexed citations
8.
Yu, Dehai, Zhonghua Du, Wei Li, et al.. (2017). Targeting Jurkat T Lymphocyte Leukemia Cells by an Engineered Interferon-Alpha Hybrid Molecule. Cellular Physiology and Biochemistry. 42(2). 519–529. 6 indexed citations
9.
Wang, Haibo, Shengfang Ge, Guanxiang Qian, et al.. (2015). Restoration of IGF2 imprinting by polycomb repressive complex 2 docking factor SUZ12 in colon cancer cells. Experimental Cell Research. 338(2). 214–221. 15 indexed citations
10.
Hu, Ji‐Fan, et al.. (2014). A Novel Suppressive Long Noncoding RNA within the IGF1R Gene Locus Is Imprinted in Acute Myelocytic Leukemia. Blood. 124(21). 3592–3592. 1 indexed citations
11.
Zhang, He, Weiwei Jiao, Lin Sun, et al.. (2013). Intrachromosomal Looping Is Required for Activation of Endogenous Pluripotency Genes during Reprogramming. Cell stem cell. 13(1). 30–35. 99 indexed citations
12.
Yao, Yuting, Li Wang, He Zhang, et al.. (2012). A Novel Anticancer Therapy That Simultaneously Targets Aberrant p53 and Notch Activities in Tumors. PLoS ONE. 7(10). e46627–e46627. 6 indexed citations
13.
Li, Tao, Ji‐Fan Hu, Thanh Vu, et al.. (2006). CTCF Mediates Interchromosomal Colocalization Between Igf2/H19 and Wsb1/Nf1. Science. 312(5771). 269–272. 366 indexed citations
14.
Tao, Li, Thanh Vu, Gary A. Ulaner, et al.. (2005). IVF results in de novo DNA methylation and histone methylation at an Igf2-H19 imprinting epigenetic switch. Molecular Human Reproduction. 11(9). 631–640. 136 indexed citations
15.
Yao, Xiaoming, Ji‐Fan Hu, Hadas Shiran, et al.. (2003). A methylated oligonucleotide inhibits IGF2 expression and enhances survival in a model of hepatocellular carcinoma. Journal of Clinical Investigation. 111(2). 265–273. 77 indexed citations
16.
Yang, Youwen, Tao Li, Thanh Vu, et al.. (2003). The Histone Code Regulating Expression of the Imprinted MouseIgf2rGene. Endocrinology. 144(12). 5658–5670. 56 indexed citations
17.
Hu, Ji‐Fan, et al.. (1998). Tissue-Specific Imprinting of the Mouse Insulin-Like Growth Factor II Receptor Gene Correlates with Differential Allele-Specific DNA Methylation. Molecular Endocrinology. 12(2). 220–232. 51 indexed citations
18.
Hu, Ji‐Fan, Thanh Vu, & Andrew R. Hoffman. (1997). Genomic Deletion of an Imprint Maintenance Element Abolishes Imprinting of Both Insulin-like Growth Factor II andH19. Journal of Biological Chemistry. 272(33). 20715–20720. 39 indexed citations
19.
Hu, Ji‐Fan, et al.. (1994). Assessment of a modified household food weighing method in a study of bone health in China.. PubMed. 48(6). 442–52. 2 indexed citations
20.
Hu, Ji‐Fan, et al.. (1993). Dietary calcium and bone density among middle-aged and elderly women in China. American Journal of Clinical Nutrition. 58(2). 219–227. 91 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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