Liwu Fu

13.4k total citations · 5 hit papers
209 papers, 9.9k citations indexed

About

Liwu Fu is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Liwu Fu has authored 209 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Oncology, 124 papers in Molecular Biology and 24 papers in Cancer Research. Recurrent topics in Liwu Fu's work include Drug Transport and Resistance Mechanisms (83 papers), Cancer therapeutics and mechanisms (46 papers) and HIV/AIDS drug development and treatment (21 papers). Liwu Fu is often cited by papers focused on Drug Transport and Resistance Mechanisms (83 papers), Cancer therapeutics and mechanisms (46 papers) and HIV/AIDS drug development and treatment (21 papers). Liwu Fu collaborates with scholars based in China, United States and Hong Kong. Liwu Fu's co-authors include Fang Wang, Kenneth K.W. To, Zhe‐Sheng Chen, Yong‐ju Liang, Lihua Huang, Zhixing Guo, Sainan An, Lamei Huang, Jianye Zhang and Zhi Shi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Liwu Fu

203 papers receiving 9.8k citations

Hit Papers

KRAS mutation: from undruggable to dru... 2015 2026 2018 2022 2021 2015 2022 2023 2025 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liwu Fu China 53 5.4k 4.9k 1.4k 1.3k 826 209 9.9k
Kenneth K.W. To Hong Kong 48 4.0k 0.7× 3.2k 0.6× 1.7k 1.2× 766 0.6× 508 0.6× 164 7.5k
Daniel B. Longley United Kingdom 42 7.0k 1.3× 4.7k 1.0× 2.1k 1.5× 1.5k 1.1× 712 0.9× 126 12.1k
Robert W. Robey United States 62 7.3k 1.3× 9.2k 1.9× 1.2k 0.9× 1.0k 0.8× 538 0.7× 159 13.8k
Martin Clynes Ireland 53 5.7k 1.0× 2.8k 0.6× 1.7k 1.2× 854 0.6× 417 0.5× 300 9.0k
Adrian M. Senderowicz United States 45 4.9k 0.9× 3.8k 0.8× 763 0.6× 1.2k 0.9× 602 0.7× 110 8.1k
Liang Cao China 44 4.0k 0.7× 2.1k 0.4× 954 0.7× 848 0.6× 331 0.4× 241 8.0k
Antonio Tito Fojo United States 48 6.9k 1.3× 8.4k 1.7× 1.5k 1.1× 906 0.7× 379 0.5× 137 13.6k
Gergely Szakács Hungary 43 4.7k 0.9× 6.0k 1.2× 769 0.6× 461 0.3× 948 1.1× 141 9.8k
Paola Perego Italy 47 5.8k 1.1× 4.2k 0.8× 1.5k 1.1× 1.3k 1.0× 905 1.1× 177 9.2k
Varsha Gandhi United States 60 6.2k 1.1× 3.7k 0.7× 968 0.7× 1.2k 0.9× 709 0.9× 311 13.5k

Countries citing papers authored by Liwu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Liwu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liwu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Liwu Fu. A scholar is included among the top collaborators of Liwu 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 Liwu Fu. Liwu Fu 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
2.
To, Kenneth K.W., et al.. (2025). Effect of Extracellular Vesicles Derived From Tumor Cells on Immune Evasion. Advanced Science. 12(12). e2417357–e2417357. 12 indexed citations
4.
Wang, Xueping, Kenneth K.W. To, Min Luo, et al.. (2024). Circulating tumor cells shielded with extracellular vesicle-derived CD45 evade T cell attack to enable metastasis. Signal Transduction and Targeted Therapy. 9(1). 84–84. 15 indexed citations
5.
Wang, Fang, Xiao-Mei Qi, Catherine E. Hagen, et al.. (2020). p38γ MAPK Is Essential for Aerobic Glycolysis and Pancreatic Tumorigenesis. Cancer Research. 80(16). 3251–3264. 63 indexed citations
6.
Fu, Liwu, et al.. (2018). 18F-FDG PET-CT in Unknown-Source of Elevated Serum Carcinoembryonic Antigen (CEA) Level. Journal of College of Physicians And Surgeons Pakistan. 28(12). 910–913. 2 indexed citations
7.
Deng, Cheng‐Cheng, Xiao‐Dong Su, Fang Wang, et al.. (2018). Loss of MED12 Induces Tumor Dormancy in Human Epithelial Ovarian Cancer via Downregulation of EGFR. Cancer Research. 78(13). 3532–3543. 23 indexed citations
8.
Su, Ming‐Yang, Yike Wu, Liwu Fu, et al.. (2018). Circulating Plasma miRNAs as Potential Biomarkers of Non–Small Cell Lung Cancer Obtained by High-Throughput Real-Time PCR Profiling. Cancer Epidemiology Biomarkers & Prevention. 28(2). 327–336. 21 indexed citations
9.
Chen, Yifan, Zhaomin Li, Zizheng Dong, et al.. (2017). 14-3-3σ Contributes to Radioresistance By Regulating DNA Repair and Cell Cycle via PARP1 and CHK2. Molecular Cancer Research. 15(4). 418–428. 27 indexed citations
10.
Zhang, Haipeng, Kai Li, Yuan Lin, et al.. (2017). Targeting VCP enhances anticancer activity of oncolytic virus M1 in hepatocellular carcinoma. Science Translational Medicine. 9(404). 53 indexed citations
11.
Chen, Zhen, Yifan Chen, Meng Xu, et al.. (2016). Osimertinib (AZD9291) Enhanced the Efficacy of Chemotherapeutic Agents in ABCB1- and ABCG2-Overexpressing Cells In Vitro, In Vivo , and Ex Vivo. Molecular Cancer Therapeutics. 15(8). 1845–1858. 45 indexed citations
12.
To, Kenneth K.W., et al.. (2016). Reversal of platinum drug resistance by the histone deacetylase inhibitor belinostat. Lung Cancer. 103. 58–65. 35 indexed citations
13.
To, Kenneth K.W., et al.. (2015). Vatalanib sensitizes ABCB1 and ABCG2-overexpressing multidrug resistant colon cancer cells to chemotherapy under hypoxia. Biochemical Pharmacology. 97(1). 27–37. 42 indexed citations
14.
He, Jie‐Hua, Sheng Ye, Fang Wang, et al.. (2014). Afatinib Enhances the Efficacy of Conventional Chemotherapeutic Agents by Eradicating Cancer Stem–like Cells. Cancer Research. 74(16). 4431–4445. 45 indexed citations
15.
Zhang, Hui, Atish Patel, Shaolin Ma, et al.. (2014). In vitro, in vivo and ex vivo characterization of ibrutinib: a potent inhibitor of the efflux function of the transporter MRP1. British Journal of Pharmacology. 171(24). 5845–5857. 45 indexed citations
16.
Shi, Zhi, Amit K. Tiwari, Suneet Shukla, et al.. (2011). Sildenafil Reverses ABCB1- and ABCG2-Mediated Chemotherapeutic Drug Resistance. Cancer Research. 71(8). 3029–3041. 152 indexed citations
17.
Mi, Yan‐jun, Yong‐ju Liang, Hong-Yun Zhao, et al.. (2010). Apatinib (YN968D1) Reverses Multidrug Resistance by Inhibiting the Efflux Function of Multiple ATP-Binding Cassette Transporters. Cancer Research. 70(20). 7981–7991. 288 indexed citations
18.
Dai, Chun-ling, Yong‐ju Liang, Xu Zhang, et al.. (2009). Sensitization of ABCB1 overexpressing cells to chemotherapeutic agents by FG020326 via binding to ABCB1 and inhibiting its function. Biochemical Pharmacology. 78(4). 355–364. 25 indexed citations
19.
Dai, Chun-ling, Amit K. Tiwari, Chung‐Pu Wu, et al.. (2008). Lapatinib (Tykerb, GW572016) Reverses Multidrug Resistance in Cancer Cells by Inhibiting the Activity of ATP-Binding Cassette Subfamily B Member 1 and G Member 2. Cancer Research. 68(19). 7905–7914. 333 indexed citations
20.
Fu, Liwu, Yong-ju Liang, & Liming Chen. (2006). Reversal of multidrug resistance by a novel third generation modulator, FG020326.. Cancer Research. 66. 1271–1272. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026