Jinxu Fang

702 total citations
10 papers, 611 citations indexed

About

Jinxu Fang is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Jinxu Fang has authored 10 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Pharmacology. Recurrent topics in Jinxu Fang's work include Immunotherapy and Immune Responses (3 papers), Nanoparticle-Based Drug Delivery (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). Jinxu Fang is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Nanoparticle-Based Drug Delivery (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). Jinxu Fang collaborates with scholars based in United States. Jinxu Fang's co-authors include Pin Wang, Yarong Liu, Michael K. Wong, Xiao Liang, Kye‐Il Joo, Zibo Li, Biliang Hu, Yi Tang, Yit‐Heng Chooi and Hong Liu and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jinxu Fang

10 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinxu Fang United States	9	282	201	162	134	125	10	611
Masayuki Kohno Japan	17	436 1.5×	185 0.9×	132 0.8×	89 0.7×	208 1.7×	36	843
Benedetta Ferrara Italy	17	314 1.1×	143 0.7×	222 1.4×	157 1.2×	98 0.8×	27	765
Mingjiao Sun China	13	259 0.9×	101 0.5×	79 0.5×	146 1.1×	129 1.0×	20	583
Shuhong Qi China	10	190 0.7×	88 0.4×	84 0.5×	215 1.6×	240 1.9×	22	584
Guan Jiang China	13	210 0.7×	123 0.6×	114 0.7×	159 1.2×	80 0.6×	58	634
Maryam A. Shetab Boushehri Germany	13	238 0.8×	85 0.4×	142 0.9×	125 0.9×	122 1.0×	24	583
Yeongseon Byeon South Korea	12	312 1.1×	168 0.8×	169 1.0×	191 1.4×	283 2.3×	16	732
Hans H. Riese Spain	10	350 1.2×	105 0.5×	53 0.3×	58 0.4×	77 0.6×	12	656
Qing Shen China	16	572 2.0×	76 0.4×	282 1.7×	161 1.2×	75 0.6×	34	904
Ahmed M. E. Abdalla China	9	178 0.6×	76 0.4×	166 1.0×	174 1.3×	55 0.4×	22	551

Countries citing papers authored by Jinxu Fang

Since Specialization

Citations

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

Fields of papers citing papers by Jinxu Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinxu Fang

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

All Works

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10 of 10 papers shown

Fang, Jinxu, et al.. (2016). A multi-antigen vaccine in combination with an immunotoxin targeting tumor-associated fibroblast for treating murine melanoma. Molecular Therapy — Oncolytics. 3. 16007–16007. 35 indexed citations

Fang, Jinxu, Xiao Liang, Kye‐Il Joo, et al.. (2015). A potent immunotoxin targeting fibroblast activation protein for treatment of breast cancer in mice. International Journal of Cancer. 138(4). 1013–1023. 101 indexed citations

Liu, Yarong, Young Joo Kim, Man Ji, et al.. (2014). Enhancing gene delivery of adeno-associated viruses by cell-permeable peptides. Molecular Therapy — Methods & Clinical Development. 1. 12–12. 56 indexed citations

Liu, Yarong, Jinxu Fang, Kye Il Joo, Michael K. Wong, & Pin Wang. (2014). Codelivery of Chemotherapeutics via Crosslinked Multilamellar Liposomal Vesicles to Overcome Multidrug Resistance in Tumor. PLoS ONE. 9(10). e110611–e110611. 34 indexed citations

Liu, Yarong, et al.. (2014). Codelivery of Doxorubicin and Paclitaxel by Cross-Linked Multilamellar Liposome Enables Synergistic Antitumor Activity. Molecular Pharmaceutics. 11(5). 1651–1661. 151 indexed citations

Liu, Yarong, Xiao Liang, Kye‐Il Joo, et al.. (2014). In Situ Modulation of Dendritic Cells by Injectable Thermosensitive Hydrogels for Cancer Vaccines in Mice. Biomacromolecules. 15(10). 3836–3845. 83 indexed citations

Chooi, Yit‐Heng, Jinxu Fang, Hong Liu, et al.. (2013). Genome Mining of a Prenylated and Immunosuppressive Polyketide from Pathogenic Fungi. Organic Letters. 15(4). 780–783. 70 indexed citations

Chooi, Yit‐Heng, Peng Wang, Jinxu Fang, et al.. (2012). Discovery and Characterization of a Group of Fungal Polycyclic Polyketide Prenyltransferases. Journal of the American Chemical Society. 134(22). 9428–9437. 52 indexed citations

Dai, Bingbing, Xiao Liang, Paul D. Bryson, Jinxu Fang, & Pin Wang. (2012). PD-1/PD-L1 Blockade Can Enhance HIV-1 Gag-specific T Cell Immunity Elicited by Dendritic Cell-Directed Lentiviral Vaccines. Molecular Therapy. 20(9). 1800–1809. 28 indexed citations

10.

Li, Guideng & Jinxu Fang. (2011). From bench to bedside: Targeting epigenetics for cancer therapy. SHILAP Revista de lepidopterología. 8(4). 191–201. 1 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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