Dan Chu

554 total citations
20 papers, 466 citations indexed

About

Dan Chu is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Dan Chu has authored 20 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Cell Biology. Recurrent topics in Dan Chu's work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (6 papers). Dan Chu is often cited by papers focused on MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (6 papers). Dan Chu collaborates with scholars based in China, United States and Canada. Dan Chu's co-authors include S R Heidemann, Robert E. Buxbaum, Harish Chandra Joshi, Harish C. Joshi, Steven R. Heidemann, Peter W. Baas, Buer Song, Steven E. Lindley, Maoliang Ran and Pengfei Cheng and has published in prestigious journals such as The Journal of Cell Biology, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Dan Chu

19 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Chu China	10	242	219	85	73	38	20	466
Michiko Takeda Japan	12	215 0.9×	404 1.8×	103 1.2×	46 0.6×	41 1.1×	23	613
Bingquan Lai China	9	54 0.2×	333 1.5×	83 1.0×	152 2.1×	51 1.3×	11	475
Paul A. Oliphint United States	6	72 0.3×	372 1.7×	86 1.0×	159 2.2×	42 1.1×	7	594
Solei Cermenati Italy	10	87 0.4×	304 1.4×	129 1.5×	45 0.6×	65 1.7×	10	520
Tetsuaki Miyake Canada	15	74 0.3×	394 1.8×	28 0.3×	43 0.6×	36 0.9×	24	519
Jonathan P. Myers United States	7	235 1.0×	274 1.3×	215 2.5×	20 0.3×	11 0.3×	8	549
Marianna Madeo United States	8	76 0.3×	206 0.9×	142 1.7×	73 1.0×	63 1.7×	9	464
Tsuyoshi Okagaki Japan	15	240 1.0×	343 1.6×	47 0.6×	19 0.3×	9 0.2×	35	540
Héctor Sánchez-Iranzo Spain	10	146 0.6×	408 1.9×	24 0.3×	40 0.5×	18 0.5×	15	576

Countries citing papers authored by Dan Chu

Since Specialization

Citations

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

Fields of papers citing papers by Dan Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Chu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chu, Dan, et al.. (2025). Character emotion recognition algorithm in small sample video based on multimodal feature fusion. International Journal of Biometrics. 17(1/2). 1–14.

Li, Pengpeng, et al.. (2024). IGF2BP3 suppresses ferroptosis in lung adenocarcinoma by m6A-dependent regulation of TFAP2A to transcriptionally activate SLC7A11/GPX4. Molecular and Cellular Biochemistry. 480(4). 2361–2375. 6 indexed citations

Chu, Dan, et al.. (2024). Urolithin A exerts a protective effect on lipopolysaccharide-induced acute lung injury by regulating HMGB1-mediated MAPK and NF-κB signaling pathways. Naunyn-Schmiedeberg s Archives of Pharmacology. 397(8). 5765–5777. 7 indexed citations

Wang, Yingrui, et al.. (2023). Integrating Network Pharmacology and Experimental Validation to Elucidate the Mechanism of Yiqi Yangyin Decoction in Suppressing Non‐Small‐Cell Lung Cancer. BioMed Research International. 2023(1). 4967544–4967544. 6 indexed citations

Chu, Dan, et al.. (2023). Long non-coding RNA FPFSC promotes immature porcine Sertoli cell growth through modulating the miR-326/EHMT2 axis. Journal of Integrative Agriculture. 23(11). 3830–3842. 2 indexed citations

Xu, Qin-Fu, et al.. (2022). Circ_0006006 facilitates non‐small cell lung cancer progression by modulating miR‐924/SRSF7 axis. The Journal of Gene Medicine. 24(5). e3411–e3411. 13 indexed citations

Chu, Dan, et al.. (2021). Identification of circ_0058357 as a regulator in non‐small cell lung cancer cells resistant to cisplatin by miR‐361‐3p/ABCC1 axis. Thoracic Cancer. 12(21). 2894–2906. 13 indexed citations

Tang, Peijun, et al.. (2021). Long Non-Coding RNA THOR Depletion Inhibits Human Non-Small Cell Lung Cancer Cell Growth. Frontiers in Oncology. 11. 756148–756148. 13 indexed citations

Tang, Xiangwei, et al.. (2021). MiR-191 promotes the porcine immature Sertoli cell proliferation by targeting the BDNF gene through activating the PI3K/AKT signaling pathway.. PubMed. 43(7). 680–693. 2 indexed citations

10.

Tang, Xiangwei, Yao Chen, Hui Luo, et al.. (2021). miR-126 Controls the Apoptosis and Proliferation of Immature Porcine Sertoli Cells by Targeting the PIK3R2 Gene through the PI3K/AKT Signaling Pathway. Animals. 11(8). 2260–2260. 8 indexed citations

11.

Chen, Bin, et al.. (2021). circBTBD7 Promotes Immature Porcine Sertoli Cell Growth through Modulating miR-24-3p/MAPK7 Axis to Inactivate p38 MAPK Signaling Pathway. International Journal of Molecular Sciences. 22(17). 9385–9385. 12 indexed citations

12.

Huang, Siyuan, Yong-Kai Wei, Satyavani Kaliamurthi, et al.. (2020). Circulating miR-1246 Targeting UBE2C, TNNI3, TRAIP, UCHL1 Genes and Key Pathways as a Potential Biomarker for Lung Adenocarcinoma: Integrated Biological Network Analysis. Journal of Personalized Medicine. 10(4). 162–162. 16 indexed citations

13.

Luo, Hui, et al.. (2020). miR‐130a promotes immature porcine Sertoli cell growth by activating SMAD5 through the TGF‐β‐PI3K/AKT signaling pathway. The FASEB Journal. 34(11). 15164–15179. 22 indexed citations

14.

Shen, Yanming, et al.. (2019). The Analysis of Electrical Vehicles Charging Behavior Based on Charging Big Data. 63–67. 8 indexed citations

15.

Xia, Qian, Jinglu Tan, Yongnian Jiang, et al.. (2019). Model-Based Prediction of Dissolved Oxygen Content in Fish Production. Transactions of the ASABE. 62(6). 1417–1425. 6 indexed citations

16.

Chu, Dan, Pengfei Cheng, Huiling Xiong, et al.. (2010). Electroacupuncture at ST-36 relieves visceral hypersensitivity and decreases 5-HT3 receptor level in the colon in chronic visceral hypersensitivity rats. International Journal of Colorectal Disease. 26(5). 569–574. 30 indexed citations

17.

Wang, Jihong, et al.. (2009). [Expression and bioactivity effects to Hela of recombinant toxin protein rLj-RGD3 from Lampetra japonica].. PubMed. 25(5). 686–94. 1 indexed citations

18.

Joshi, Harish C., Peter W. Baas, Dan Chu, & Steven R. Heidemann. (1986). The cytoskeleton of neurites after microtubule depolymerization. Experimental Cell Research. 163(1). 233–245. 51 indexed citations

19.

Joshi, Harish Chandra, Dan Chu, Robert E. Buxbaum, & S R Heidemann. (1985). Tension and compression in the cytoskeleton of PC 12 neurites.. The Journal of Cell Biology. 101(3). 697–705. 198 indexed citations

20.

Heidemann, S R, et al.. (1984). Spatial organization of axonal microtubules.. The Journal of Cell Biology. 99(4). 1289–1295. 52 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