Ming Duan

2.0k total citations
52 papers, 1.6k citations indexed

About

Ming Duan is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ming Duan has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 17 papers in Immunology and 15 papers in Cancer Research. Recurrent topics in Ming Duan's work include interferon and immune responses (11 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (8 papers). Ming Duan is often cited by papers focused on interferon and immune responses (11 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (8 papers). Ming Duan collaborates with scholars based in China, United States and Pakistan. Ming Duan's co-authors include Shilpa Buch, Honghong Yao, Maolin Zhang, Zhenhong Guan, Guoku Hu, Lu Yang, Yidi Guo, Ning Shi, Sowmya V. Yelamanchili and Howard S. Fox and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Blood.

In The Last Decade

Ming Duan

49 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Duan China 24 808 390 370 246 211 52 1.6k
Koji Uetsuka Japan 26 687 0.9× 219 0.6× 472 1.3× 97 0.4× 44 0.2× 113 2.2k
Mavis R. Swerdel United States 22 818 1.0× 455 1.2× 250 0.7× 118 0.5× 31 0.1× 37 1.7k
Nune Darbinian United States 23 944 1.2× 84 0.2× 130 0.4× 135 0.5× 169 0.8× 67 1.7k
Lisa Henderson United States 15 613 0.8× 45 0.1× 173 0.5× 159 0.6× 366 1.7× 25 1.3k
H. Ross Payne United States 24 832 1.0× 96 0.2× 113 0.3× 68 0.3× 73 0.3× 48 1.6k
G. Brett Robb United States 25 2.4k 3.0× 842 2.2× 222 0.6× 19 0.1× 111 0.5× 35 3.0k
Shalini Kumar United States 18 388 0.5× 69 0.2× 116 0.3× 158 0.6× 71 0.3× 40 1.4k
Juan María Torres Spain 34 2.6k 3.2× 106 0.3× 88 0.2× 1.1k 4.6× 96 0.5× 155 3.3k
Nobuya Sasaki Japan 22 1.3k 1.6× 310 0.8× 224 0.6× 33 0.1× 20 0.1× 114 2.6k
Danilo Licastro Italy 25 1.0k 1.2× 273 0.7× 358 1.0× 423 1.7× 10 0.0× 93 2.3k

Countries citing papers authored by Ming Duan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Duan. A scholar is included among the top collaborators of Ming Duan 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 Ming Duan. Ming Duan 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
3.
Wang, Yihe, et al.. (2024). LINC01197 inhibits influenza A virus replication by serving as a PABPC1 decoy. Veterinary Research. 55(1). 121–121. 2 indexed citations
4.
Liu, Xiaomin, Jing Xu, Maolin Zhang, et al.. (2024). RABV induces biphasic actin cytoskeletal rearrangement through Rac1 activity modulation. Journal of Virology. 98(7). e0060624–e0060624. 4 indexed citations
5.
Bu, Shengjun, Hongyu Zhou, Zhuo Hao, et al.. (2024). A novel fluorescent biosensor for sensitive detection of pathogenic bacteria based on catalytic hairpin assembly and λ-Exonuclease cleavage reaction. Sensors and Actuators B Chemical. 406. 135433–135433. 4 indexed citations
6.
Guo, Yidi, Ning Su, Ning Shi, et al.. (2022). Identification and characterization of circular RNAs in the A549 cells following Influenza A virus infection. Veterinary Microbiology. 267. 109390–109390. 6 indexed citations
7.
Xu, Jing, Jie Gao, Maolin Zhang, et al.. (2021). Dynein- and kinesin- mediated intracellular transport on microtubules facilitates RABV infection. Veterinary Microbiology. 262. 109241–109241. 4 indexed citations
8.
Gao, Jie, Xinyu Wang, Ming Duan, et al.. (2019). Entry of Challenge Virus Standard (CVS) -11 into N2a cells via a clathrin-mediated, cholesterol-, dynamin-, pH-dependent endocytic pathway. Virology Journal. 16(1). 80–80. 10 indexed citations
9.
Ahmad, Waqas, Yingying Li, Yidi Guo, et al.. (2017). Rabies virus co-localizes with early (Rab5) and late (Rab7) endosomal proteins in neuronal and SH-SY5Y cells. Virologica Sinica. 32(3). 207–215. 14 indexed citations
10.
Qu, Xinyan, Xiaoran Ding, Ming Duan, et al.. (2016). Influenza virus infection induces translocation of apoptosis-inducing factor (AIF) in A549 cells: role of AIF in apoptosis and viral propagation. Archives of Virology. 162(3). 669–675. 12 indexed citations
11.
Dong, Chunyan, et al.. (2016). Modulation of influenza A virus replication by microRNA‐9 through targeting MCPIP1. Journal of Medical Virology. 89(1). 41–48. 31 indexed citations
12.
Shi, Ning, Ying Li, Chunyan Dong, et al.. (2016). Quantitative Proteome Profiling of Street Rabies Virus-Infected Mouse Hippocampal Synaptosomes. Current Microbiology. 73(3). 301–311. 9 indexed citations
13.
Feng, Wenjing, et al.. (2016). Influenza a virus NS1 protein induced A20 contributes to viral replication by suppressing interferon-induced antiviral response. Biochemical and Biophysical Research Communications. 482(4). 1107–1113. 39 indexed citations
14.
Zhang, Yuan, Ying Bai, Xinjian Zhu, et al.. (2015). Involvement of sigma-1 receptor in astrocyte activation induced by methamphetamine via up-regulation of its own expression. Journal of Neuroinflammation. 12(1). 29–29. 65 indexed citations
15.
Yao, Honghong, Rong Ma, Lu Yang, et al.. (2014). MiR-9 promotes microglial activation by targeting MCPIP1. Nature Communications. 5(1). 4386–4386. 137 indexed citations
16.
Duan, Ming, et al.. (2013). HIV Tat Induces Expression of ICAM-1 in HUVECs: Implications for miR-221/-222 in HIV-Associated Cardiomyopathy. PLoS ONE. 8(3). e60170–e60170. 70 indexed citations
17.
Guan, Zhenhong, Ning Shi, Yan Song, et al.. (2012). Induction of the cellular microRNA-29c by influenza virus contributes to virus-mediated apoptosis through repression of antiapoptotic factors BCL2L2. Biochemical and Biophysical Research Communications. 425(3). 662–667. 37 indexed citations
18.
Yao, Honghong, Ming Duan, Guoku Hu, & Shilpa Buch. (2011). Platelet-Derived Growth Factor B Chain Is a Novel Target Gene of Cocaine-Mediated Notch1 Signaling: Implications for HIV-Associated Neurological Disorders. Journal of Neuroscience. 31(35). 12449–12454. 25 indexed citations
19.
Yu, Chao, Huasen Wang, Sha Yang, et al.. (2009). Overexpression of endoplasmic reticulum omega-3 fatty acid desaturase gene improves chilling tolerance in tomato. Plant Physiology and Biochemistry. 47(11-12). 1102–1112. 78 indexed citations
20.
Ding, Xiaoran, et al.. (2008). Epiregulin as a key molecule to suppress hepatitis B virus propagation in vitro. Archives of Virology. 154(1). 9–17. 7 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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