Yige Fu

790 total citations
23 papers, 644 citations indexed

About

Yige Fu is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Yige Fu has authored 23 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Biomedical Engineering. Recurrent topics in Yige Fu's work include Advanced biosensing and bioanalysis techniques (6 papers), RNA Interference and Gene Delivery (5 papers) and Protein Degradation and Inhibitors (5 papers). Yige Fu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), RNA Interference and Gene Delivery (5 papers) and Protein Degradation and Inhibitors (5 papers). Yige Fu collaborates with scholars based in United States, China and Egypt. Yige Fu's co-authors include Ketan Patel, Manali Patki, Aishwarya Saraswat, Vikas V. Dukhande, Siddhant Palekar, Pavan Kumar Nukala, Zhe‐Sheng Chen, Kelly Zhang, Richa Vartak and Jing‐Quan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Journal of Chromatography A.

In The Last Decade

Yige Fu

22 papers receiving 636 citations

Peers

Yige Fu

ONCOL

BIOMA

Chun‐Mei Hu Taiwan

Mandip Singh United States

Aishwarya Saraswat United States

Anca Onaciu Romania

Eva Maria Hoffmann Austria

Moataz B. Zewail Egypt

Ahmed M. E. Abdalla China

Ibrahim El‐Serafi Sweden

Tarek Magdy United States

Takayuki Nakano Japan

Chun‐Mei Hu Taiwan

Yige Fu

395 ×1.0

225 ×1.2

ONCOL

109 ×0.9

24 ×0.3

57 ×0.7

BIOMA

Citations per year, relative to Yige Fu Yige Fu (= 1×) peers Chun‐Mei Hu

Countries citing papers authored by Yige Fu

Since Specialization

Citations

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

Fields of papers citing papers by Yige Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yige Fu

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

All Works

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20 of 20 papers shown

Su, Wan-Chih, et al.. (2025). A platform method for simultaneous quantification of lipid and nucleic acid components in lipid nanoparticles. Journal of Chromatography A. 1746. 465788–465788. 3 indexed citations

Saraswat, Aishwarya, Richa Vartak, Rehab Hegazy, et al.. (2023). Oral lipid nanocomplex of BRD4 PROteolysis TArgeting Chimera and vemurafenib for drug-resistant malignant melanoma. Biomedicine & Pharmacotherapy. 168. 115754–115754. 20 indexed citations

Chen, Tao, Shijia Tang, Yige Fu, José G. Napolitano, & Kelly Zhang. (2022). Analytical techniques for characterizing diastereomers of phosphorothioated oligonucleotides. Journal of Chromatography A. 1678. 463349–463349. 28 indexed citations

Sarode, Apoorva, Yuchen Fan, Michal Hammel, et al.. (2022). Predictive high-throughput screening of PEGylated lipids in oligonucleotide-loaded lipid nanoparticles for neuronal gene silencing. Nanoscale Advances. 4(9). 2107–2123. 55 indexed citations

Fan, Yuchen, Zhenqi Shi, Yige Fu, et al.. (2022). Spectroscopy-Based Local Modeling Method for High-Throughput Quantification of Nucleic Acid Loading in Lipid Nanoparticles. Analytical Chemistry. 94(25). 9081–9090. 7 indexed citations

Zhang, Meng, Chao‐Yun Cai, Qiu‐Xu Teng, et al.. (2022). Overexpression of ABCB1 Associated With the Resistance to the KRAS-G12C Specific Inhibitor ARS-1620 in Cancer Cells. Frontiers in Pharmacology. 13. 843829–843829. 23 indexed citations

Fu, Yige, et al.. (2021). Development of Dual ARV-825 and Nintedanib-Loaded PEGylated Nano-Liposomes for Synergistic Efficacy in Vemurafnib-Resistant Melanoma. Pharmaceutics. 13(7). 1005–1005. 45 indexed citations

Fu, Yige, et al.. (2021). Stromal disruption facilitating invasion of a ‘nano-arsenal’ into the solid tumor. Drug Discovery Today. 27(4). 1132–1141. 22 indexed citations

Wu, Zhuo‐Xun, Yuqi Yang, Jing‐Quan Wang, et al.. (2021). Elevated ABCB1 Expression Confers Acquired Resistance to Aurora Kinase Inhibitor GSK-1070916 in Cancer Cells. Frontiers in Pharmacology. 11. 615824–615824. 24 indexed citations

10.

Vartak, Richa, Manali Patki, Joseph Jablonski, et al.. (2020). β-cyclodextrin polymer/Soluplus® encapsulated Ebselen ternary complex (EβpolySol) as a potential therapy for vaginal candidiasis and pre-exposure prophylactic for HIV. International Journal of Pharmaceutics. 589. 119863–119863. 25 indexed citations

11.

Wu, Zhuo‐Xun, Peng Zheng, Yuqi Yang, et al.. (2020). M3814, a DNA-PK Inhibitor, Modulates ABCG2-Mediated Multidrug Resistance in Lung Cancer Cells. Frontiers in Oncology. 10. 674–674. 24 indexed citations

12.

Patki, Manali, Richa Vartak, Joseph Jablonski, et al.. (2020). Efavirenz nanomicelles loaded vaginal film (EZ film) for preexposure prophylaxis (PrEP) of HIV. Colloids and Surfaces B Biointerfaces. 194. 111174–111174. 15 indexed citations

13.

Fu, Yige, et al.. (2020). Protein kinase C inhibitor anchored BRD4 PROTAC PEGylated nanoliposomes for the treatment of vemurafenib-resistant melanoma. Experimental Cell Research. 396(1). 112275–112275. 36 indexed citations

14.

Palekar, Siddhant, Pavan Kumar Nukala, Manali Patki, et al.. (2020). Process optimization of twin-screw melt granulation of fenofibrate using design of experiment (DoE). International Journal of Pharmaceutics. 593. 120101–120101. 33 indexed citations

15.

Sun, Yating, Robert J. Lee, Guiyuan Wang, et al.. (2019). Folate Receptor-Targeted Albumin Nanoparticles Based on Microfluidic Technology to Deliver Cabazitaxel. Cancers. 11(10). 1571–1571. 36 indexed citations

16.

Fu, Yige, et al.. (2019). EphA2-Receptor Targeted PEGylated Nanoliposomes for the Treatment of BRAFV600E Mutated Parent- and Vemurafenib-Resistant Melanoma. Pharmaceutics. 11(10). 504–504. 27 indexed citations

17.

Nukala, Pavan Kumar, Siddhant Palekar, Manali Patki, Yige Fu, & Ketan Patel. (2019). Multi-dose oral abuse deterrent formulation of loperamide using hot melt extrusion. International Journal of Pharmaceutics. 569. 118629–118629. 28 indexed citations

18.

Fu, Yige, et al.. (2019). BRD4 PROTAC as a novel therapeutic approach for the treatment of vemurafenib resistant melanoma: Preformulation studies, formulation development and in vitro evaluation. European Journal of Pharmaceutical Sciences. 138. 105039–105039. 53 indexed citations

19.

Guo, Zhihua, Yujing Li, Yige Fu, et al.. (2014). Enhanced Antisense Oligonucleotide Delivery Using Cationic Liposomes Incorporating Fatty Acid-Modified Polyethylenimine. Current Pharmaceutical Biotechnology. 15(9). 800–805. 8 indexed citations

20.

Zhou, Yulin, et al.. (2014). Microfluidic Assembly of Lipid Nanoparticles for Delivery of Antisense Oligonucleotides. Current Pharmaceutical Biotechnology. 15(9). 823–828. 3 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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